16453 lines (16453 with data), 3.1 MB
{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"id": "okNa31R0aLhr"
},
"outputs": [],
"source": [
"####Importing the required library\n",
"import pandas as pd\n",
"import numpy as np\n",
"import seaborn as sns\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"id": "G5v9FjMOaNRK",
"outputId": "be04307d-be1e-4c7c-b1e3-6c4cd5bacd88",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 108
}
},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.HTML object>"
],
"text/html": [
"\n",
" <input type=\"file\" id=\"files-f86bc0ff-58f7-48c4-b52e-d875dbb31760\" name=\"files[]\" multiple disabled\n",
" style=\"border:none\" />\n",
" <output id=\"result-f86bc0ff-58f7-48c4-b52e-d875dbb31760\">\n",
" Upload widget is only available when the cell has been executed in the\n",
" current browser session. Please rerun this cell to enable.\n",
" </output>\n",
" <script>// Copyright 2017 Google LLC\n",
"//\n",
"// Licensed under the Apache License, Version 2.0 (the \"License\");\n",
"// you may not use this file except in compliance with the License.\n",
"// You may obtain a copy of the License at\n",
"//\n",
"// http://www.apache.org/licenses/LICENSE-2.0\n",
"//\n",
"// Unless required by applicable law or agreed to in writing, software\n",
"// distributed under the License is distributed on an \"AS IS\" BASIS,\n",
"// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
"// See the License for the specific language governing permissions and\n",
"// limitations under the License.\n",
"\n",
"/**\n",
" * @fileoverview Helpers for google.colab Python module.\n",
" */\n",
"(function(scope) {\n",
"function span(text, styleAttributes = {}) {\n",
" const element = document.createElement('span');\n",
" element.textContent = text;\n",
" for (const key of Object.keys(styleAttributes)) {\n",
" element.style[key] = styleAttributes[key];\n",
" }\n",
" return element;\n",
"}\n",
"\n",
"// Max number of bytes which will be uploaded at a time.\n",
"const MAX_PAYLOAD_SIZE = 100 * 1024;\n",
"\n",
"function _uploadFiles(inputId, outputId) {\n",
" const steps = uploadFilesStep(inputId, outputId);\n",
" const outputElement = document.getElementById(outputId);\n",
" // Cache steps on the outputElement to make it available for the next call\n",
" // to uploadFilesContinue from Python.\n",
" outputElement.steps = steps;\n",
"\n",
" return _uploadFilesContinue(outputId);\n",
"}\n",
"\n",
"// This is roughly an async generator (not supported in the browser yet),\n",
"// where there are multiple asynchronous steps and the Python side is going\n",
"// to poll for completion of each step.\n",
"// This uses a Promise to block the python side on completion of each step,\n",
"// then passes the result of the previous step as the input to the next step.\n",
"function _uploadFilesContinue(outputId) {\n",
" const outputElement = document.getElementById(outputId);\n",
" const steps = outputElement.steps;\n",
"\n",
" const next = steps.next(outputElement.lastPromiseValue);\n",
" return Promise.resolve(next.value.promise).then((value) => {\n",
" // Cache the last promise value to make it available to the next\n",
" // step of the generator.\n",
" outputElement.lastPromiseValue = value;\n",
" return next.value.response;\n",
" });\n",
"}\n",
"\n",
"/**\n",
" * Generator function which is called between each async step of the upload\n",
" * process.\n",
" * @param {string} inputId Element ID of the input file picker element.\n",
" * @param {string} outputId Element ID of the output display.\n",
" * @return {!Iterable<!Object>} Iterable of next steps.\n",
" */\n",
"function* uploadFilesStep(inputId, outputId) {\n",
" const inputElement = document.getElementById(inputId);\n",
" inputElement.disabled = false;\n",
"\n",
" const outputElement = document.getElementById(outputId);\n",
" outputElement.innerHTML = '';\n",
"\n",
" const pickedPromise = new Promise((resolve) => {\n",
" inputElement.addEventListener('change', (e) => {\n",
" resolve(e.target.files);\n",
" });\n",
" });\n",
"\n",
" const cancel = document.createElement('button');\n",
" inputElement.parentElement.appendChild(cancel);\n",
" cancel.textContent = 'Cancel upload';\n",
" const cancelPromise = new Promise((resolve) => {\n",
" cancel.onclick = () => {\n",
" resolve(null);\n",
" };\n",
" });\n",
"\n",
" // Wait for the user to pick the files.\n",
" const files = yield {\n",
" promise: Promise.race([pickedPromise, cancelPromise]),\n",
" response: {\n",
" action: 'starting',\n",
" }\n",
" };\n",
"\n",
" cancel.remove();\n",
"\n",
" // Disable the input element since further picks are not allowed.\n",
" inputElement.disabled = true;\n",
"\n",
" if (!files) {\n",
" return {\n",
" response: {\n",
" action: 'complete',\n",
" }\n",
" };\n",
" }\n",
"\n",
" for (const file of files) {\n",
" const li = document.createElement('li');\n",
" li.append(span(file.name, {fontWeight: 'bold'}));\n",
" li.append(span(\n",
" `(${file.type || 'n/a'}) - ${file.size} bytes, ` +\n",
" `last modified: ${\n",
" file.lastModifiedDate ? file.lastModifiedDate.toLocaleDateString() :\n",
" 'n/a'} - `));\n",
" const percent = span('0% done');\n",
" li.appendChild(percent);\n",
"\n",
" outputElement.appendChild(li);\n",
"\n",
" const fileDataPromise = new Promise((resolve) => {\n",
" const reader = new FileReader();\n",
" reader.onload = (e) => {\n",
" resolve(e.target.result);\n",
" };\n",
" reader.readAsArrayBuffer(file);\n",
" });\n",
" // Wait for the data to be ready.\n",
" let fileData = yield {\n",
" promise: fileDataPromise,\n",
" response: {\n",
" action: 'continue',\n",
" }\n",
" };\n",
"\n",
" // Use a chunked sending to avoid message size limits. See b/62115660.\n",
" let position = 0;\n",
" do {\n",
" const length = Math.min(fileData.byteLength - position, MAX_PAYLOAD_SIZE);\n",
" const chunk = new Uint8Array(fileData, position, length);\n",
" position += length;\n",
"\n",
" const base64 = btoa(String.fromCharCode.apply(null, chunk));\n",
" yield {\n",
" response: {\n",
" action: 'append',\n",
" file: file.name,\n",
" data: base64,\n",
" },\n",
" };\n",
"\n",
" let percentDone = fileData.byteLength === 0 ?\n",
" 100 :\n",
" Math.round((position / fileData.byteLength) * 100);\n",
" percent.textContent = `${percentDone}% done`;\n",
"\n",
" } while (position < fileData.byteLength);\n",
" }\n",
"\n",
" // All done.\n",
" yield {\n",
" response: {\n",
" action: 'complete',\n",
" }\n",
" };\n",
"}\n",
"\n",
"scope.google = scope.google || {};\n",
"scope.google.colab = scope.google.colab || {};\n",
"scope.google.colab._files = {\n",
" _uploadFiles,\n",
" _uploadFilesContinue,\n",
"};\n",
"})(self);\n",
"</script> "
]
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stdout",
"text": [
"Saving ASD meta abundance.csv to ASD meta abundance.csv\n",
"Saving GSE113690_Autism_16S_rRNA_OTU_assignment_and_abundance.csv to GSE113690_Autism_16S_rRNA_OTU_assignment_and_abundance.csv\n"
]
}
],
"source": [
"###Importing of excel data\n",
"from google.colab import files\n",
"uploaded = files.upload()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"id": "LAMyfe2VaTG0",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 706
},
"outputId": "addbaa08-0548-4b17-9d48-c221a63c79ba"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" Taxonomy A3 A5 A6 A9 \\\n",
"0 g__Faecalibacterium;s__Faecalibacterium prausn... 4988 5060 2905 5745 \n",
"1 g__Hungatella;s__Hungatella hathewayi 5803 5612 4109 1432 \n",
"2 g__Clostridium;s__uncultured Clostridium sp. 3793 2795 1355 5558 \n",
"3 g__Butyricimonas;s__Butyricimonas virosa 64 1385 725 1553 \n",
"4 g__Alistipes;s__Alistipes indistinctus 15 20 723 620 \n",
"5 g__Unclassified;s__Firmicutes bacterium CAG:176 100 29 11 1320 \n",
"6 g__Clostridium;s__Clostridium sp. CAG:7 2119 1230 1322 2675 \n",
"7 g__Unclassified;s__Firmicutes bacterium CAG:882 12 24 1 44 \n",
"8 g__Lachnoclostridium;s__[Clostridium] asparagi... 453 691 2278 107 \n",
"9 g__Butyricicoccus;s__uncultured Butyricicoccus... 1266 1682 43 1726 \n",
"10 g__Unclassified;s__Firmicutes bacterium CAG:95 17 119 9 1938 \n",
"11 g__Oscillibacter;s__Oscillibacter sp. ER4 524 2018 101 2023 \n",
"12 g__Desulfovibrio;s__Desulfovibrio piger 7 714 19 150 \n",
"13 g__Fusobacterium;s__Fusobacterium mortiferum 1 0 0 1 \n",
"14 g__Clostridium;s__Clostridium sp. GD3 1466 1412 937 2138 \n",
"15 g__Unclassified;s__Firmicutes bacterium CAG:124 42 65 36 2213 \n",
"16 g__Unclassified;s__Burkholderiales bacterium YL45 1 25 26 41 \n",
"17 g__Ruminococcus;s__Ruminococcus callidus 16 21 7 1359 \n",
"18 g__Flavonifractor;s__uncultured Flavonifractor... 2000 444 1987 626 \n",
"19 g__Subdoligranulum;s__Subdoligranulum variabile 724 1712 244 1930 \n",
"\n",
" A31 A51 A52 A53 A54 ... B120 B127 B132 B141 B142 B143 \\\n",
"0 4822 3889 4646 6337 5064 ... 4471 5868 6561 4910 4492 2812 \n",
"1 2652 4175 3891 894 4903 ... 2126 4429 2598 4222 4925 5753 \n",
"2 5383 3505 5541 4429 4121 ... 4085 6041 6188 3960 4403 2841 \n",
"3 40 53 33 175 58 ... 2065 21 27 55 35 8 \n",
"4 3261 43 83 37 43 ... 90 22 30 1027 2641 4 \n",
"5 51 45 52 64 60 ... 829 136 159 22 41 10 \n",
"6 1470 2262 2984 2004 1904 ... 2475 1649 2018 1999 2027 180 \n",
"7 26 9 25 19 17 ... 15 1711 1456 11 9 46 \n",
"8 342 1304 1400 1207 2034 ... 1555 554 389 548 1815 1508 \n",
"9 1804 1441 2691 1886 919 ... 1099 2072 1868 1853 2277 1069 \n",
"10 49 46 44 42 48 ... 411 500 1383 28 77 18 \n",
"11 415 292 200 1226 394 ... 1949 1420 1444 265 179 52 \n",
"12 17 11 8 10 3 ... 1 2 2 3 29 3 \n",
"13 9 12 6 597 2 ... 1 2 0 1 0 0 \n",
"14 1256 84 74 1084 1449 ... 1140 1518 583 1532 1467 1013 \n",
"15 81 154 71 460 84 ... 2320 1655 1757 386 210 42 \n",
"16 24 23 4 10 19 ... 28 12 14 15 29 4 \n",
"17 180 67 67 1864 272 ... 424 471 443 405 100 29 \n",
"18 1892 1662 235 316 1244 ... 468 637 443 1768 1859 1655 \n",
"19 1734 365 353 1786 1656 ... 2150 2015 2231 1926 1800 131 \n",
"\n",
" B152 B156 B158 B164 \n",
"0 5303 4205 3430 4563 \n",
"1 1261 1822 2478 4868 \n",
"2 2746 3808 3856 3211 \n",
"3 884 13 3 218 \n",
"4 1587 2223 6 1473 \n",
"5 28 38 15 64 \n",
"6 2134 1134 1487 1797 \n",
"7 19 25 47 8 \n",
"8 1169 321 2169 159 \n",
"9 1226 1601 839 1278 \n",
"10 18 19 35 12 \n",
"11 539 1257 94 732 \n",
"12 0 2 1 9 \n",
"13 0 1 1 2 \n",
"14 321 394 71 685 \n",
"15 96 609 79 40 \n",
"16 13 20 19 46 \n",
"17 117 16 2063 28 \n",
"18 1842 585 1772 167 \n",
"19 1733 1176 734 1913 \n",
"\n",
"[20 rows x 61 columns]"
],
"text/html": [
"\n",
" <div id=\"df-9780d9ec-ded4-4e34-b517-b89f7ceb33c1\" class=\"colab-df-container\">\n",
" <div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Taxonomy</th>\n",
" <th>A3</th>\n",
" <th>A5</th>\n",
" <th>A6</th>\n",
" <th>A9</th>\n",
" <th>A31</th>\n",
" <th>A51</th>\n",
" <th>A52</th>\n",
" <th>A53</th>\n",
" <th>A54</th>\n",
" <th>...</th>\n",
" <th>B120</th>\n",
" <th>B127</th>\n",
" <th>B132</th>\n",
" <th>B141</th>\n",
" <th>B142</th>\n",
" <th>B143</th>\n",
" <th>B152</th>\n",
" <th>B156</th>\n",
" <th>B158</th>\n",
" <th>B164</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>g__Faecalibacterium;s__Faecalibacterium prausn...</td>\n",
" <td>4988</td>\n",
" <td>5060</td>\n",
" <td>2905</td>\n",
" <td>5745</td>\n",
" <td>4822</td>\n",
" <td>3889</td>\n",
" <td>4646</td>\n",
" <td>6337</td>\n",
" <td>5064</td>\n",
" <td>...</td>\n",
" <td>4471</td>\n",
" <td>5868</td>\n",
" <td>6561</td>\n",
" <td>4910</td>\n",
" <td>4492</td>\n",
" <td>2812</td>\n",
" <td>5303</td>\n",
" <td>4205</td>\n",
" <td>3430</td>\n",
" <td>4563</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>g__Hungatella;s__Hungatella hathewayi</td>\n",
" <td>5803</td>\n",
" <td>5612</td>\n",
" <td>4109</td>\n",
" <td>1432</td>\n",
" <td>2652</td>\n",
" <td>4175</td>\n",
" <td>3891</td>\n",
" <td>894</td>\n",
" <td>4903</td>\n",
" <td>...</td>\n",
" <td>2126</td>\n",
" <td>4429</td>\n",
" <td>2598</td>\n",
" <td>4222</td>\n",
" <td>4925</td>\n",
" <td>5753</td>\n",
" <td>1261</td>\n",
" <td>1822</td>\n",
" <td>2478</td>\n",
" <td>4868</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>g__Clostridium;s__uncultured Clostridium sp.</td>\n",
" <td>3793</td>\n",
" <td>2795</td>\n",
" <td>1355</td>\n",
" <td>5558</td>\n",
" <td>5383</td>\n",
" <td>3505</td>\n",
" <td>5541</td>\n",
" <td>4429</td>\n",
" <td>4121</td>\n",
" <td>...</td>\n",
" <td>4085</td>\n",
" <td>6041</td>\n",
" <td>6188</td>\n",
" <td>3960</td>\n",
" <td>4403</td>\n",
" <td>2841</td>\n",
" <td>2746</td>\n",
" <td>3808</td>\n",
" <td>3856</td>\n",
" <td>3211</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>g__Butyricimonas;s__Butyricimonas virosa</td>\n",
" <td>64</td>\n",
" <td>1385</td>\n",
" <td>725</td>\n",
" <td>1553</td>\n",
" <td>40</td>\n",
" <td>53</td>\n",
" <td>33</td>\n",
" <td>175</td>\n",
" <td>58</td>\n",
" <td>...</td>\n",
" <td>2065</td>\n",
" <td>21</td>\n",
" <td>27</td>\n",
" <td>55</td>\n",
" <td>35</td>\n",
" <td>8</td>\n",
" <td>884</td>\n",
" <td>13</td>\n",
" <td>3</td>\n",
" <td>218</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>g__Alistipes;s__Alistipes indistinctus</td>\n",
" <td>15</td>\n",
" <td>20</td>\n",
" <td>723</td>\n",
" <td>620</td>\n",
" <td>3261</td>\n",
" <td>43</td>\n",
" <td>83</td>\n",
" <td>37</td>\n",
" <td>43</td>\n",
" <td>...</td>\n",
" <td>90</td>\n",
" <td>22</td>\n",
" <td>30</td>\n",
" <td>1027</td>\n",
" <td>2641</td>\n",
" <td>4</td>\n",
" <td>1587</td>\n",
" <td>2223</td>\n",
" <td>6</td>\n",
" <td>1473</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>g__Unclassified;s__Firmicutes bacterium CAG:176</td>\n",
" <td>100</td>\n",
" <td>29</td>\n",
" <td>11</td>\n",
" <td>1320</td>\n",
" <td>51</td>\n",
" <td>45</td>\n",
" <td>52</td>\n",
" <td>64</td>\n",
" <td>60</td>\n",
" <td>...</td>\n",
" <td>829</td>\n",
" <td>136</td>\n",
" <td>159</td>\n",
" <td>22</td>\n",
" <td>41</td>\n",
" <td>10</td>\n",
" <td>28</td>\n",
" <td>38</td>\n",
" <td>15</td>\n",
" <td>64</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>g__Clostridium;s__Clostridium sp. CAG:7</td>\n",
" <td>2119</td>\n",
" <td>1230</td>\n",
" <td>1322</td>\n",
" <td>2675</td>\n",
" <td>1470</td>\n",
" <td>2262</td>\n",
" <td>2984</td>\n",
" <td>2004</td>\n",
" <td>1904</td>\n",
" <td>...</td>\n",
" <td>2475</td>\n",
" <td>1649</td>\n",
" <td>2018</td>\n",
" <td>1999</td>\n",
" <td>2027</td>\n",
" <td>180</td>\n",
" <td>2134</td>\n",
" <td>1134</td>\n",
" <td>1487</td>\n",
" <td>1797</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>g__Unclassified;s__Firmicutes bacterium CAG:882</td>\n",
" <td>12</td>\n",
" <td>24</td>\n",
" <td>1</td>\n",
" <td>44</td>\n",
" <td>26</td>\n",
" <td>9</td>\n",
" <td>25</td>\n",
" <td>19</td>\n",
" <td>17</td>\n",
" <td>...</td>\n",
" <td>15</td>\n",
" <td>1711</td>\n",
" <td>1456</td>\n",
" <td>11</td>\n",
" <td>9</td>\n",
" <td>46</td>\n",
" <td>19</td>\n",
" <td>25</td>\n",
" <td>47</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>g__Lachnoclostridium;s__[Clostridium] asparagi...</td>\n",
" <td>453</td>\n",
" <td>691</td>\n",
" <td>2278</td>\n",
" <td>107</td>\n",
" <td>342</td>\n",
" <td>1304</td>\n",
" <td>1400</td>\n",
" <td>1207</td>\n",
" <td>2034</td>\n",
" <td>...</td>\n",
" <td>1555</td>\n",
" <td>554</td>\n",
" <td>389</td>\n",
" <td>548</td>\n",
" <td>1815</td>\n",
" <td>1508</td>\n",
" <td>1169</td>\n",
" <td>321</td>\n",
" <td>2169</td>\n",
" <td>159</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>g__Butyricicoccus;s__uncultured Butyricicoccus...</td>\n",
" <td>1266</td>\n",
" <td>1682</td>\n",
" <td>43</td>\n",
" <td>1726</td>\n",
" <td>1804</td>\n",
" <td>1441</td>\n",
" <td>2691</td>\n",
" <td>1886</td>\n",
" <td>919</td>\n",
" <td>...</td>\n",
" <td>1099</td>\n",
" <td>2072</td>\n",
" <td>1868</td>\n",
" <td>1853</td>\n",
" <td>2277</td>\n",
" <td>1069</td>\n",
" <td>1226</td>\n",
" <td>1601</td>\n",
" <td>839</td>\n",
" <td>1278</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>g__Unclassified;s__Firmicutes bacterium CAG:95</td>\n",
" <td>17</td>\n",
" <td>119</td>\n",
" <td>9</td>\n",
" <td>1938</td>\n",
" <td>49</td>\n",
" <td>46</td>\n",
" <td>44</td>\n",
" <td>42</td>\n",
" <td>48</td>\n",
" <td>...</td>\n",
" <td>411</td>\n",
" <td>500</td>\n",
" <td>1383</td>\n",
" <td>28</td>\n",
" <td>77</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" <td>19</td>\n",
" <td>35</td>\n",
" <td>12</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>g__Oscillibacter;s__Oscillibacter sp. ER4</td>\n",
" <td>524</td>\n",
" <td>2018</td>\n",
" <td>101</td>\n",
" <td>2023</td>\n",
" <td>415</td>\n",
" <td>292</td>\n",
" <td>200</td>\n",
" <td>1226</td>\n",
" <td>394</td>\n",
" <td>...</td>\n",
" <td>1949</td>\n",
" <td>1420</td>\n",
" <td>1444</td>\n",
" <td>265</td>\n",
" <td>179</td>\n",
" <td>52</td>\n",
" <td>539</td>\n",
" <td>1257</td>\n",
" <td>94</td>\n",
" <td>732</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>g__Desulfovibrio;s__Desulfovibrio piger</td>\n",
" <td>7</td>\n",
" <td>714</td>\n",
" <td>19</td>\n",
" <td>150</td>\n",
" <td>17</td>\n",
" <td>11</td>\n",
" <td>8</td>\n",
" <td>10</td>\n",
" <td>3</td>\n",
" <td>...</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>29</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>g__Fusobacterium;s__Fusobacterium mortiferum</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>9</td>\n",
" <td>12</td>\n",
" <td>6</td>\n",
" <td>597</td>\n",
" <td>2</td>\n",
" <td>...</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>g__Clostridium;s__Clostridium sp. GD3</td>\n",
" <td>1466</td>\n",
" <td>1412</td>\n",
" <td>937</td>\n",
" <td>2138</td>\n",
" <td>1256</td>\n",
" <td>84</td>\n",
" <td>74</td>\n",
" <td>1084</td>\n",
" <td>1449</td>\n",
" <td>...</td>\n",
" <td>1140</td>\n",
" <td>1518</td>\n",
" <td>583</td>\n",
" <td>1532</td>\n",
" <td>1467</td>\n",
" <td>1013</td>\n",
" <td>321</td>\n",
" <td>394</td>\n",
" <td>71</td>\n",
" <td>685</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>g__Unclassified;s__Firmicutes bacterium CAG:124</td>\n",
" <td>42</td>\n",
" <td>65</td>\n",
" <td>36</td>\n",
" <td>2213</td>\n",
" <td>81</td>\n",
" <td>154</td>\n",
" <td>71</td>\n",
" <td>460</td>\n",
" <td>84</td>\n",
" <td>...</td>\n",
" <td>2320</td>\n",
" <td>1655</td>\n",
" <td>1757</td>\n",
" <td>386</td>\n",
" <td>210</td>\n",
" <td>42</td>\n",
" <td>96</td>\n",
" <td>609</td>\n",
" <td>79</td>\n",
" <td>40</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>g__Unclassified;s__Burkholderiales bacterium YL45</td>\n",
" <td>1</td>\n",
" <td>25</td>\n",
" <td>26</td>\n",
" <td>41</td>\n",
" <td>24</td>\n",
" <td>23</td>\n",
" <td>4</td>\n",
" <td>10</td>\n",
" <td>19</td>\n",
" <td>...</td>\n",
" <td>28</td>\n",
" <td>12</td>\n",
" <td>14</td>\n",
" <td>15</td>\n",
" <td>29</td>\n",
" <td>4</td>\n",
" <td>13</td>\n",
" <td>20</td>\n",
" <td>19</td>\n",
" <td>46</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>g__Ruminococcus;s__Ruminococcus callidus</td>\n",
" <td>16</td>\n",
" <td>21</td>\n",
" <td>7</td>\n",
" <td>1359</td>\n",
" <td>180</td>\n",
" <td>67</td>\n",
" <td>67</td>\n",
" <td>1864</td>\n",
" <td>272</td>\n",
" <td>...</td>\n",
" <td>424</td>\n",
" <td>471</td>\n",
" <td>443</td>\n",
" <td>405</td>\n",
" <td>100</td>\n",
" <td>29</td>\n",
" <td>117</td>\n",
" <td>16</td>\n",
" <td>2063</td>\n",
" <td>28</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>g__Flavonifractor;s__uncultured Flavonifractor...</td>\n",
" <td>2000</td>\n",
" <td>444</td>\n",
" <td>1987</td>\n",
" <td>626</td>\n",
" <td>1892</td>\n",
" <td>1662</td>\n",
" <td>235</td>\n",
" <td>316</td>\n",
" <td>1244</td>\n",
" <td>...</td>\n",
" <td>468</td>\n",
" <td>637</td>\n",
" <td>443</td>\n",
" <td>1768</td>\n",
" <td>1859</td>\n",
" <td>1655</td>\n",
" <td>1842</td>\n",
" <td>585</td>\n",
" <td>1772</td>\n",
" <td>167</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>g__Subdoligranulum;s__Subdoligranulum variabile</td>\n",
" <td>724</td>\n",
" <td>1712</td>\n",
" <td>244</td>\n",
" <td>1930</td>\n",
" <td>1734</td>\n",
" <td>365</td>\n",
" <td>353</td>\n",
" <td>1786</td>\n",
" <td>1656</td>\n",
" <td>...</td>\n",
" <td>2150</td>\n",
" <td>2015</td>\n",
" <td>2231</td>\n",
" <td>1926</td>\n",
" <td>1800</td>\n",
" <td>131</td>\n",
" <td>1733</td>\n",
" <td>1176</td>\n",
" <td>734</td>\n",
" <td>1913</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>20 rows × 61 columns</p>\n",
"</div>\n",
" <div class=\"colab-df-buttons\">\n",
"\n",
" <div class=\"colab-df-container\">\n",
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-9780d9ec-ded4-4e34-b517-b89f7ceb33c1')\"\n",
" title=\"Convert this dataframe to an interactive table.\"\n",
" style=\"display:none;\">\n",
"\n",
" <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
" <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
" </svg>\n",
" </button>\n",
"\n",
" <style>\n",
" .colab-df-container {\n",
" display:flex;\n",
" gap: 12px;\n",
" }\n",
"\n",
" .colab-df-convert {\n",
" background-color: #E8F0FE;\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: #1967D2;\n",
" height: 32px;\n",
" padding: 0 0 0 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-convert:hover {\n",
" background-color: #E2EBFA;\n",
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: #174EA6;\n",
" }\n",
"\n",
" .colab-df-buttons div {\n",
" margin-bottom: 4px;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert {\n",
" background-color: #3B4455;\n",
" fill: #D2E3FC;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert:hover {\n",
" background-color: #434B5C;\n",
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
" fill: #FFFFFF;\n",
" }\n",
" </style>\n",
"\n",
" <script>\n",
" const buttonEl =\n",
" document.querySelector('#df-9780d9ec-ded4-4e34-b517-b89f7ceb33c1 button.colab-df-convert');\n",
" buttonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"\n",
" async function convertToInteractive(key) {\n",
" const element = document.querySelector('#df-9780d9ec-ded4-4e34-b517-b89f7ceb33c1');\n",
" const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
" if (!dataTable) return;\n",
"\n",
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
" + ' to learn more about interactive tables.';\n",
" element.innerHTML = '';\n",
" dataTable['output_type'] = 'display_data';\n",
" await google.colab.output.renderOutput(dataTable, element);\n",
" const docLink = document.createElement('div');\n",
" docLink.innerHTML = docLinkHtml;\n",
" element.appendChild(docLink);\n",
" }\n",
" </script>\n",
" </div>\n",
"\n",
"\n",
"<div id=\"df-4228ca2d-a54a-4e73-9622-d974e133dab5\">\n",
" <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-4228ca2d-a54a-4e73-9622-d974e133dab5')\"\n",
" title=\"Suggest charts\"\n",
" style=\"display:none;\">\n",
"\n",
"<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
" width=\"24px\">\n",
" <g>\n",
" <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
" </g>\n",
"</svg>\n",
" </button>\n",
"\n",
"<style>\n",
" .colab-df-quickchart {\n",
" --bg-color: #E8F0FE;\n",
" --fill-color: #1967D2;\n",
" --hover-bg-color: #E2EBFA;\n",
" --hover-fill-color: #174EA6;\n",
" --disabled-fill-color: #AAA;\n",
" --disabled-bg-color: #DDD;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-quickchart {\n",
" --bg-color: #3B4455;\n",
" --fill-color: #D2E3FC;\n",
" --hover-bg-color: #434B5C;\n",
" --hover-fill-color: #FFFFFF;\n",
" --disabled-bg-color: #3B4455;\n",
" --disabled-fill-color: #666;\n",
" }\n",
"\n",
" .colab-df-quickchart {\n",
" background-color: var(--bg-color);\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: var(--fill-color);\n",
" height: 32px;\n",
" padding: 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-quickchart:hover {\n",
" background-color: var(--hover-bg-color);\n",
" box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: var(--button-hover-fill-color);\n",
" }\n",
"\n",
" .colab-df-quickchart-complete:disabled,\n",
" .colab-df-quickchart-complete:disabled:hover {\n",
" background-color: var(--disabled-bg-color);\n",
" fill: var(--disabled-fill-color);\n",
" box-shadow: none;\n",
" }\n",
"\n",
" .colab-df-spinner {\n",
" border: 2px solid var(--fill-color);\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" animation:\n",
" spin 1s steps(1) infinite;\n",
" }\n",
"\n",
" @keyframes spin {\n",
" 0% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" border-left-color: var(--fill-color);\n",
" }\n",
" 20% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 30% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 40% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 60% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 80% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" 90% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" }\n",
"</style>\n",
"\n",
" <script>\n",
" async function quickchart(key) {\n",
" const quickchartButtonEl =\n",
" document.querySelector('#' + key + ' button');\n",
" quickchartButtonEl.disabled = true; // To prevent multiple clicks.\n",
" quickchartButtonEl.classList.add('colab-df-spinner');\n",
" try {\n",
" const charts = await google.colab.kernel.invokeFunction(\n",
" 'suggestCharts', [key], {});\n",
" } catch (error) {\n",
" console.error('Error during call to suggestCharts:', error);\n",
" }\n",
" quickchartButtonEl.classList.remove('colab-df-spinner');\n",
" quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
" }\n",
" (() => {\n",
" let quickchartButtonEl =\n",
" document.querySelector('#df-4228ca2d-a54a-4e73-9622-d974e133dab5 button');\n",
" quickchartButtonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
" })();\n",
" </script>\n",
"</div>\n",
" </div>\n",
" </div>\n"
]
},
"metadata": {},
"execution_count": 4
}
],
"source": [
"import io\n",
"ASD_meta= pd.read_csv(io.BytesIO(uploaded['ASD meta abundance.csv']))\n",
"ASD_meta.head(20)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"id": "FaZlpqAEKF8i",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "21c22713-889b-483d-b25c-e80ebcf2d0cd"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"Index(['Taxonomy', 'A3', 'A5', 'A6', 'A9', 'A31', 'A51', 'A52', 'A53', 'A54',\n",
" 'A59', 'A67', 'A68', 'A69', 'A71', 'A73', 'A76', 'A78', 'A87', 'A89',\n",
" 'A93', 'A101', 'A109', 'A113', 'A114', 'A115', 'A142', 'A144', 'A149',\n",
" 'A164', 'A165', 'B1', 'B2', 'B3', 'B5', 'B6', 'B7', 'B8', 'B13', 'B14',\n",
" 'B28', 'B29', 'B36', 'B37', 'B94', 'B99', 'B103', 'B106', 'B111',\n",
" 'B114', 'B115', 'B120', 'B127', 'B132', 'B141', 'B142', 'B143', 'B152',\n",
" 'B156', 'B158', 'B164'],\n",
" dtype='object')"
]
},
"metadata": {},
"execution_count": 5
}
],
"source": [
"ASD_meta.columns ### Numbers of columns represnet number of individual which this microbiom was sampled"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "twqgFg6h_LmE"
},
"source": [
"Grouping the data set to both TD= Typical Developed Child and ASD= which are child with Autism. A group= TD and B group= ASD"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "NK-dn9gr_sFS"
},
"source": [
"TD group"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"id": "1h0v079M8mAs",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 235
},
"outputId": "12ac6732-01da-4c84-c8c8-0b1771d3c5fe"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" Taxonomy A3 A5 A6 A9 \\\n",
"0 g__Faecalibacterium;s__Faecalibacterium prausn... 4988 5060 2905 5745 \n",
"1 g__Hungatella;s__Hungatella hathewayi 5803 5612 4109 1432 \n",
"2 g__Clostridium;s__uncultured Clostridium sp. 3793 2795 1355 5558 \n",
"3 g__Butyricimonas;s__Butyricimonas virosa 64 1385 725 1553 \n",
"4 g__Alistipes;s__Alistipes indistinctus 15 20 723 620 \n",
"\n",
" A31 A51 A52 A53 A54 ... A101 A109 A113 A114 A115 A142 \\\n",
"0 4822 3889 4646 6337 5064 ... 3833 3771 5489 6762 3045 6205 \n",
"1 2652 4175 3891 894 4903 ... 6849 4390 2091 1638 4613 2601 \n",
"2 5383 3505 5541 4429 4121 ... 4586 1014 4100 4336 2301 6372 \n",
"3 40 53 33 175 58 ... 3285 30 54 1168 50 38 \n",
"4 3261 43 83 37 43 ... 3159 61 2606 2821 21 2276 \n",
"\n",
" A144 A149 A164 A165 \n",
"0 6048 5418 5120 8504 \n",
"1 1892 3267 2294 2978 \n",
"2 4020 3511 4328 3906 \n",
"3 49 27 1685 838 \n",
"4 3 34 2681 2103 \n",
"\n",
"[5 rows x 31 columns]"
],
"text/html": [
"\n",
" <div id=\"df-25369a1f-3772-4b8d-8b0f-f736cb46c73a\" class=\"colab-df-container\">\n",
" <div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Taxonomy</th>\n",
" <th>A3</th>\n",
" <th>A5</th>\n",
" <th>A6</th>\n",
" <th>A9</th>\n",
" <th>A31</th>\n",
" <th>A51</th>\n",
" <th>A52</th>\n",
" <th>A53</th>\n",
" <th>A54</th>\n",
" <th>...</th>\n",
" <th>A101</th>\n",
" <th>A109</th>\n",
" <th>A113</th>\n",
" <th>A114</th>\n",
" <th>A115</th>\n",
" <th>A142</th>\n",
" <th>A144</th>\n",
" <th>A149</th>\n",
" <th>A164</th>\n",
" <th>A165</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>g__Faecalibacterium;s__Faecalibacterium prausn...</td>\n",
" <td>4988</td>\n",
" <td>5060</td>\n",
" <td>2905</td>\n",
" <td>5745</td>\n",
" <td>4822</td>\n",
" <td>3889</td>\n",
" <td>4646</td>\n",
" <td>6337</td>\n",
" <td>5064</td>\n",
" <td>...</td>\n",
" <td>3833</td>\n",
" <td>3771</td>\n",
" <td>5489</td>\n",
" <td>6762</td>\n",
" <td>3045</td>\n",
" <td>6205</td>\n",
" <td>6048</td>\n",
" <td>5418</td>\n",
" <td>5120</td>\n",
" <td>8504</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>g__Hungatella;s__Hungatella hathewayi</td>\n",
" <td>5803</td>\n",
" <td>5612</td>\n",
" <td>4109</td>\n",
" <td>1432</td>\n",
" <td>2652</td>\n",
" <td>4175</td>\n",
" <td>3891</td>\n",
" <td>894</td>\n",
" <td>4903</td>\n",
" <td>...</td>\n",
" <td>6849</td>\n",
" <td>4390</td>\n",
" <td>2091</td>\n",
" <td>1638</td>\n",
" <td>4613</td>\n",
" <td>2601</td>\n",
" <td>1892</td>\n",
" <td>3267</td>\n",
" <td>2294</td>\n",
" <td>2978</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>g__Clostridium;s__uncultured Clostridium sp.</td>\n",
" <td>3793</td>\n",
" <td>2795</td>\n",
" <td>1355</td>\n",
" <td>5558</td>\n",
" <td>5383</td>\n",
" <td>3505</td>\n",
" <td>5541</td>\n",
" <td>4429</td>\n",
" <td>4121</td>\n",
" <td>...</td>\n",
" <td>4586</td>\n",
" <td>1014</td>\n",
" <td>4100</td>\n",
" <td>4336</td>\n",
" <td>2301</td>\n",
" <td>6372</td>\n",
" <td>4020</td>\n",
" <td>3511</td>\n",
" <td>4328</td>\n",
" <td>3906</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>g__Butyricimonas;s__Butyricimonas virosa</td>\n",
" <td>64</td>\n",
" <td>1385</td>\n",
" <td>725</td>\n",
" <td>1553</td>\n",
" <td>40</td>\n",
" <td>53</td>\n",
" <td>33</td>\n",
" <td>175</td>\n",
" <td>58</td>\n",
" <td>...</td>\n",
" <td>3285</td>\n",
" <td>30</td>\n",
" <td>54</td>\n",
" <td>1168</td>\n",
" <td>50</td>\n",
" <td>38</td>\n",
" <td>49</td>\n",
" <td>27</td>\n",
" <td>1685</td>\n",
" <td>838</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>g__Alistipes;s__Alistipes indistinctus</td>\n",
" <td>15</td>\n",
" <td>20</td>\n",
" <td>723</td>\n",
" <td>620</td>\n",
" <td>3261</td>\n",
" <td>43</td>\n",
" <td>83</td>\n",
" <td>37</td>\n",
" <td>43</td>\n",
" <td>...</td>\n",
" <td>3159</td>\n",
" <td>61</td>\n",
" <td>2606</td>\n",
" <td>2821</td>\n",
" <td>21</td>\n",
" <td>2276</td>\n",
" <td>3</td>\n",
" <td>34</td>\n",
" <td>2681</td>\n",
" <td>2103</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 31 columns</p>\n",
"</div>\n",
" <div class=\"colab-df-buttons\">\n",
"\n",
" <div class=\"colab-df-container\">\n",
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-25369a1f-3772-4b8d-8b0f-f736cb46c73a')\"\n",
" title=\"Convert this dataframe to an interactive table.\"\n",
" style=\"display:none;\">\n",
"\n",
" <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
" <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
" </svg>\n",
" </button>\n",
"\n",
" <style>\n",
" .colab-df-container {\n",
" display:flex;\n",
" gap: 12px;\n",
" }\n",
"\n",
" .colab-df-convert {\n",
" background-color: #E8F0FE;\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: #1967D2;\n",
" height: 32px;\n",
" padding: 0 0 0 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-convert:hover {\n",
" background-color: #E2EBFA;\n",
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: #174EA6;\n",
" }\n",
"\n",
" .colab-df-buttons div {\n",
" margin-bottom: 4px;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert {\n",
" background-color: #3B4455;\n",
" fill: #D2E3FC;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert:hover {\n",
" background-color: #434B5C;\n",
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
" fill: #FFFFFF;\n",
" }\n",
" </style>\n",
"\n",
" <script>\n",
" const buttonEl =\n",
" document.querySelector('#df-25369a1f-3772-4b8d-8b0f-f736cb46c73a button.colab-df-convert');\n",
" buttonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"\n",
" async function convertToInteractive(key) {\n",
" const element = document.querySelector('#df-25369a1f-3772-4b8d-8b0f-f736cb46c73a');\n",
" const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
" if (!dataTable) return;\n",
"\n",
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
" + ' to learn more about interactive tables.';\n",
" element.innerHTML = '';\n",
" dataTable['output_type'] = 'display_data';\n",
" await google.colab.output.renderOutput(dataTable, element);\n",
" const docLink = document.createElement('div');\n",
" docLink.innerHTML = docLinkHtml;\n",
" element.appendChild(docLink);\n",
" }\n",
" </script>\n",
" </div>\n",
"\n",
"\n",
"<div id=\"df-4f8133bf-7c3d-4ad4-a59d-2b73ff670cf6\">\n",
" <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-4f8133bf-7c3d-4ad4-a59d-2b73ff670cf6')\"\n",
" title=\"Suggest charts\"\n",
" style=\"display:none;\">\n",
"\n",
"<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
" width=\"24px\">\n",
" <g>\n",
" <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
" </g>\n",
"</svg>\n",
" </button>\n",
"\n",
"<style>\n",
" .colab-df-quickchart {\n",
" --bg-color: #E8F0FE;\n",
" --fill-color: #1967D2;\n",
" --hover-bg-color: #E2EBFA;\n",
" --hover-fill-color: #174EA6;\n",
" --disabled-fill-color: #AAA;\n",
" --disabled-bg-color: #DDD;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-quickchart {\n",
" --bg-color: #3B4455;\n",
" --fill-color: #D2E3FC;\n",
" --hover-bg-color: #434B5C;\n",
" --hover-fill-color: #FFFFFF;\n",
" --disabled-bg-color: #3B4455;\n",
" --disabled-fill-color: #666;\n",
" }\n",
"\n",
" .colab-df-quickchart {\n",
" background-color: var(--bg-color);\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: var(--fill-color);\n",
" height: 32px;\n",
" padding: 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-quickchart:hover {\n",
" background-color: var(--hover-bg-color);\n",
" box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: var(--button-hover-fill-color);\n",
" }\n",
"\n",
" .colab-df-quickchart-complete:disabled,\n",
" .colab-df-quickchart-complete:disabled:hover {\n",
" background-color: var(--disabled-bg-color);\n",
" fill: var(--disabled-fill-color);\n",
" box-shadow: none;\n",
" }\n",
"\n",
" .colab-df-spinner {\n",
" border: 2px solid var(--fill-color);\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" animation:\n",
" spin 1s steps(1) infinite;\n",
" }\n",
"\n",
" @keyframes spin {\n",
" 0% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" border-left-color: var(--fill-color);\n",
" }\n",
" 20% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 30% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 40% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 60% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 80% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" 90% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" }\n",
"</style>\n",
"\n",
" <script>\n",
" async function quickchart(key) {\n",
" const quickchartButtonEl =\n",
" document.querySelector('#' + key + ' button');\n",
" quickchartButtonEl.disabled = true; // To prevent multiple clicks.\n",
" quickchartButtonEl.classList.add('colab-df-spinner');\n",
" try {\n",
" const charts = await google.colab.kernel.invokeFunction(\n",
" 'suggestCharts', [key], {});\n",
" } catch (error) {\n",
" console.error('Error during call to suggestCharts:', error);\n",
" }\n",
" quickchartButtonEl.classList.remove('colab-df-spinner');\n",
" quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
" }\n",
" (() => {\n",
" let quickchartButtonEl =\n",
" document.querySelector('#df-4f8133bf-7c3d-4ad4-a59d-2b73ff670cf6 button');\n",
" quickchartButtonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
" })();\n",
" </script>\n",
"</div>\n",
" </div>\n",
" </div>\n"
]
},
"metadata": {},
"execution_count": 6
}
],
"source": [
"TD_column=['Taxonomy', 'A3', 'A5', 'A6', 'A9', 'A31', 'A51', 'A52', 'A53', 'A54',\n",
" 'A59', 'A67', 'A68', 'A69', 'A71', 'A73', 'A76', 'A78', 'A87', 'A89',\n",
" 'A93', 'A101', 'A109', 'A113', 'A114', 'A115', 'A142', 'A144', 'A149',\n",
" 'A164', 'A165']\n",
"TD_individual= ASD_meta[TD_column]\n",
"TD_individual.head()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "FYj83wxQ_uXL"
},
"source": [
"ASD group"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"id": "0sGwYuA-8l9D",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 235
},
"outputId": "c3bef8d5-f90b-42b8-b1be-63ea80880410"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" Taxonomy B1 B2 B3 B5 \\\n",
"0 g__Faecalibacterium;s__Faecalibacterium prausn... 4269 4397 4499 6126 \n",
"1 g__Hungatella;s__Hungatella hathewayi 1217 6238 2325 5004 \n",
"2 g__Clostridium;s__uncultured Clostridium sp. 3853 4624 3842 4399 \n",
"3 g__Butyricimonas;s__Butyricimonas virosa 1624 1 703 43 \n",
"4 g__Alistipes;s__Alistipes indistinctus 2452 3 819 2761 \n",
"\n",
" B6 B7 B8 B13 B14 ... B120 B127 B132 B141 B142 B143 \\\n",
"0 7020 5404 4404 5811 3360 ... 4471 5868 6561 4910 4492 2812 \n",
"1 2829 2192 2921 4303 2793 ... 2126 4429 2598 4222 4925 5753 \n",
"2 3916 3355 5165 4453 1999 ... 4085 6041 6188 3960 4403 2841 \n",
"3 46 1505 32 1474 2 ... 2065 21 27 55 35 8 \n",
"4 691 2768 25 1095 13 ... 90 22 30 1027 2641 4 \n",
"\n",
" B152 B156 B158 B164 \n",
"0 5303 4205 3430 4563 \n",
"1 1261 1822 2478 4868 \n",
"2 2746 3808 3856 3211 \n",
"3 884 13 3 218 \n",
"4 1587 2223 6 1473 \n",
"\n",
"[5 rows x 31 columns]"
],
"text/html": [
"\n",
" <div id=\"df-5dff869f-d65f-4de3-87c5-e8d03e2fe3d1\" class=\"colab-df-container\">\n",
" <div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Taxonomy</th>\n",
" <th>B1</th>\n",
" <th>B2</th>\n",
" <th>B3</th>\n",
" <th>B5</th>\n",
" <th>B6</th>\n",
" <th>B7</th>\n",
" <th>B8</th>\n",
" <th>B13</th>\n",
" <th>B14</th>\n",
" <th>...</th>\n",
" <th>B120</th>\n",
" <th>B127</th>\n",
" <th>B132</th>\n",
" <th>B141</th>\n",
" <th>B142</th>\n",
" <th>B143</th>\n",
" <th>B152</th>\n",
" <th>B156</th>\n",
" <th>B158</th>\n",
" <th>B164</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>g__Faecalibacterium;s__Faecalibacterium prausn...</td>\n",
" <td>4269</td>\n",
" <td>4397</td>\n",
" <td>4499</td>\n",
" <td>6126</td>\n",
" <td>7020</td>\n",
" <td>5404</td>\n",
" <td>4404</td>\n",
" <td>5811</td>\n",
" <td>3360</td>\n",
" <td>...</td>\n",
" <td>4471</td>\n",
" <td>5868</td>\n",
" <td>6561</td>\n",
" <td>4910</td>\n",
" <td>4492</td>\n",
" <td>2812</td>\n",
" <td>5303</td>\n",
" <td>4205</td>\n",
" <td>3430</td>\n",
" <td>4563</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>g__Hungatella;s__Hungatella hathewayi</td>\n",
" <td>1217</td>\n",
" <td>6238</td>\n",
" <td>2325</td>\n",
" <td>5004</td>\n",
" <td>2829</td>\n",
" <td>2192</td>\n",
" <td>2921</td>\n",
" <td>4303</td>\n",
" <td>2793</td>\n",
" <td>...</td>\n",
" <td>2126</td>\n",
" <td>4429</td>\n",
" <td>2598</td>\n",
" <td>4222</td>\n",
" <td>4925</td>\n",
" <td>5753</td>\n",
" <td>1261</td>\n",
" <td>1822</td>\n",
" <td>2478</td>\n",
" <td>4868</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>g__Clostridium;s__uncultured Clostridium sp.</td>\n",
" <td>3853</td>\n",
" <td>4624</td>\n",
" <td>3842</td>\n",
" <td>4399</td>\n",
" <td>3916</td>\n",
" <td>3355</td>\n",
" <td>5165</td>\n",
" <td>4453</td>\n",
" <td>1999</td>\n",
" <td>...</td>\n",
" <td>4085</td>\n",
" <td>6041</td>\n",
" <td>6188</td>\n",
" <td>3960</td>\n",
" <td>4403</td>\n",
" <td>2841</td>\n",
" <td>2746</td>\n",
" <td>3808</td>\n",
" <td>3856</td>\n",
" <td>3211</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>g__Butyricimonas;s__Butyricimonas virosa</td>\n",
" <td>1624</td>\n",
" <td>1</td>\n",
" <td>703</td>\n",
" <td>43</td>\n",
" <td>46</td>\n",
" <td>1505</td>\n",
" <td>32</td>\n",
" <td>1474</td>\n",
" <td>2</td>\n",
" <td>...</td>\n",
" <td>2065</td>\n",
" <td>21</td>\n",
" <td>27</td>\n",
" <td>55</td>\n",
" <td>35</td>\n",
" <td>8</td>\n",
" <td>884</td>\n",
" <td>13</td>\n",
" <td>3</td>\n",
" <td>218</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>g__Alistipes;s__Alistipes indistinctus</td>\n",
" <td>2452</td>\n",
" <td>3</td>\n",
" <td>819</td>\n",
" <td>2761</td>\n",
" <td>691</td>\n",
" <td>2768</td>\n",
" <td>25</td>\n",
" <td>1095</td>\n",
" <td>13</td>\n",
" <td>...</td>\n",
" <td>90</td>\n",
" <td>22</td>\n",
" <td>30</td>\n",
" <td>1027</td>\n",
" <td>2641</td>\n",
" <td>4</td>\n",
" <td>1587</td>\n",
" <td>2223</td>\n",
" <td>6</td>\n",
" <td>1473</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 31 columns</p>\n",
"</div>\n",
" <div class=\"colab-df-buttons\">\n",
"\n",
" <div class=\"colab-df-container\">\n",
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-5dff869f-d65f-4de3-87c5-e8d03e2fe3d1')\"\n",
" title=\"Convert this dataframe to an interactive table.\"\n",
" style=\"display:none;\">\n",
"\n",
" <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
" <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
" </svg>\n",
" </button>\n",
"\n",
" <style>\n",
" .colab-df-container {\n",
" display:flex;\n",
" gap: 12px;\n",
" }\n",
"\n",
" .colab-df-convert {\n",
" background-color: #E8F0FE;\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: #1967D2;\n",
" height: 32px;\n",
" padding: 0 0 0 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-convert:hover {\n",
" background-color: #E2EBFA;\n",
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: #174EA6;\n",
" }\n",
"\n",
" .colab-df-buttons div {\n",
" margin-bottom: 4px;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert {\n",
" background-color: #3B4455;\n",
" fill: #D2E3FC;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert:hover {\n",
" background-color: #434B5C;\n",
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
" fill: #FFFFFF;\n",
" }\n",
" </style>\n",
"\n",
" <script>\n",
" const buttonEl =\n",
" document.querySelector('#df-5dff869f-d65f-4de3-87c5-e8d03e2fe3d1 button.colab-df-convert');\n",
" buttonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"\n",
" async function convertToInteractive(key) {\n",
" const element = document.querySelector('#df-5dff869f-d65f-4de3-87c5-e8d03e2fe3d1');\n",
" const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
" if (!dataTable) return;\n",
"\n",
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
" + ' to learn more about interactive tables.';\n",
" element.innerHTML = '';\n",
" dataTable['output_type'] = 'display_data';\n",
" await google.colab.output.renderOutput(dataTable, element);\n",
" const docLink = document.createElement('div');\n",
" docLink.innerHTML = docLinkHtml;\n",
" element.appendChild(docLink);\n",
" }\n",
" </script>\n",
" </div>\n",
"\n",
"\n",
"<div id=\"df-36d938e7-3a3d-4dd8-ac4f-68daff22e926\">\n",
" <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-36d938e7-3a3d-4dd8-ac4f-68daff22e926')\"\n",
" title=\"Suggest charts\"\n",
" style=\"display:none;\">\n",
"\n",
"<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
" width=\"24px\">\n",
" <g>\n",
" <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
" </g>\n",
"</svg>\n",
" </button>\n",
"\n",
"<style>\n",
" .colab-df-quickchart {\n",
" --bg-color: #E8F0FE;\n",
" --fill-color: #1967D2;\n",
" --hover-bg-color: #E2EBFA;\n",
" --hover-fill-color: #174EA6;\n",
" --disabled-fill-color: #AAA;\n",
" --disabled-bg-color: #DDD;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-quickchart {\n",
" --bg-color: #3B4455;\n",
" --fill-color: #D2E3FC;\n",
" --hover-bg-color: #434B5C;\n",
" --hover-fill-color: #FFFFFF;\n",
" --disabled-bg-color: #3B4455;\n",
" --disabled-fill-color: #666;\n",
" }\n",
"\n",
" .colab-df-quickchart {\n",
" background-color: var(--bg-color);\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: var(--fill-color);\n",
" height: 32px;\n",
" padding: 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-quickchart:hover {\n",
" background-color: var(--hover-bg-color);\n",
" box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: var(--button-hover-fill-color);\n",
" }\n",
"\n",
" .colab-df-quickchart-complete:disabled,\n",
" .colab-df-quickchart-complete:disabled:hover {\n",
" background-color: var(--disabled-bg-color);\n",
" fill: var(--disabled-fill-color);\n",
" box-shadow: none;\n",
" }\n",
"\n",
" .colab-df-spinner {\n",
" border: 2px solid var(--fill-color);\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" animation:\n",
" spin 1s steps(1) infinite;\n",
" }\n",
"\n",
" @keyframes spin {\n",
" 0% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" border-left-color: var(--fill-color);\n",
" }\n",
" 20% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 30% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 40% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 60% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 80% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" 90% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" }\n",
"</style>\n",
"\n",
" <script>\n",
" async function quickchart(key) {\n",
" const quickchartButtonEl =\n",
" document.querySelector('#' + key + ' button');\n",
" quickchartButtonEl.disabled = true; // To prevent multiple clicks.\n",
" quickchartButtonEl.classList.add('colab-df-spinner');\n",
" try {\n",
" const charts = await google.colab.kernel.invokeFunction(\n",
" 'suggestCharts', [key], {});\n",
" } catch (error) {\n",
" console.error('Error during call to suggestCharts:', error);\n",
" }\n",
" quickchartButtonEl.classList.remove('colab-df-spinner');\n",
" quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
" }\n",
" (() => {\n",
" let quickchartButtonEl =\n",
" document.querySelector('#df-36d938e7-3a3d-4dd8-ac4f-68daff22e926 button');\n",
" quickchartButtonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
" })();\n",
" </script>\n",
"</div>\n",
" </div>\n",
" </div>\n"
]
},
"metadata": {},
"execution_count": 7
}
],
"source": [
"ASD_column=['Taxonomy','B1', 'B2', 'B3', 'B5', 'B6', 'B7', 'B8', 'B13', 'B14',\n",
" 'B28', 'B29', 'B36', 'B37', 'B94', 'B99', 'B103', 'B106', 'B111',\n",
" 'B114', 'B115', 'B120', 'B127', 'B132', 'B141', 'B142', 'B143', 'B152',\n",
" 'B156', 'B158', 'B164']\n",
"ASD_individual= ASD_meta[ASD_column]\n",
"ASD_individual.head()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"id": "qmRGBI5QalEp",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 706
},
"outputId": "7f5c7ae3-7545-4e05-805a-187a218b6a3e"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" OTU taxonomy A1 A10 A100 \\\n",
"0 OTU1 d__Bacteria;_k__norank;_p__Firmicutes;_c__Clos... 0 0 0 \n",
"1 OTU2 d__Bacteria;_k__norank;_p__Proteobacteria;_c__... 0 0 0 \n",
"2 OTU3 d__Bacteria;_k__norank;_p__Firmicutes;_c__Erys... 0 0 0 \n",
"3 OTU4 d__Bacteria;_k__norank;_p__Firmicutes;_c__Baci... 0 0 0 \n",
"4 OTU5 d__Bacteria;_k__norank;_p__Tenericutes;_c__Mol... 0 0 1 \n",
"5 OTU6 d__Bacteria;_k__norank;_p__Firmicutes;_c__Nega... 1 0 0 \n",
"6 OTU7 d__Bacteria;_k__norank;_p__Firmicutes;_c__Erys... 0 0 0 \n",
"7 OTU8 d__Bacteria;_k__norank;_p__Bacteroidetes;_c__B... 0 0 485 \n",
"8 OTU9 d__Bacteria;_k__norank;_p__Firmicutes;_c__Clos... 50 10 13 \n",
"9 OTU10 d__Bacteria;_k__norank;_p__Actinobacteria;_c__... 0 2 0 \n",
"10 OTU11 d__Bacteria;_k__norank;_p__Actinobacteria;_c__... 0 1 0 \n",
"11 OTU12 d__Bacteria;_k__norank;_p__Firmicutes;_c__Nega... 0 0 0 \n",
"12 OTU14 d__Bacteria;_k__norank;_p__Bacteroidetes;_c__B... 0 0 0 \n",
"13 OTU15 d__Bacteria;_k__norank;_p__Tenericutes;_c__Mol... 0 0 0 \n",
"14 OTU16 d__Bacteria;_k__norank;_p__Actinobacteria;_c__... 0 0 0 \n",
"15 OTU17 d__Bacteria;_k__norank;_p__Firmicutes;_c__Clos... 0 0 6 \n",
"16 OTU18 d__Bacteria;_k__norank;_p__Bacteroidetes;_c__B... 0 0 0 \n",
"17 OTU19 d__Bacteria;_k__norank;_p__Firmicutes;_c__Baci... 1 0 0 \n",
"18 OTU20 d__Bacteria;_k__norank;_p__Firmicutes;_c__Clos... 0 1 3 \n",
"19 OTU21 d__Bacteria;_k__norank;_p__Gemmatimonadetes;_c... 0 0 0 \n",
"\n",
" A101 A102 A104 A105 A106 ... B52 B54 B55 B56 B57 B58 B59 B6 \\\n",
"0 0 0 0 1 0 ... 0 0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 ... 0 0 0 0 0 0 0 0 \n",
"2 0 0 0 0 2 ... 0 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 ... 0 0 0 0 0 0 0 0 \n",
"4 0 0 1 0 3 ... 0 0 0 0 0 0 0 0 \n",
"5 0 0 0 0 1 ... 0 0 0 0 0 1 0 0 \n",
"6 1 0 0 2 0 ... 0 6 1 0 4 1 0 0 \n",
"7 142 1 113 1 7685 ... 0 0 0 0 0 0 25 20 \n",
"8 17 9 15 9 5 ... 7 12 7 1 3 0 2 7 \n",
"9 0 0 0 0 0 ... 0 0 0 0 0 0 0 0 \n",
"10 0 0 0 0 0 ... 0 0 0 0 0 0 0 0 \n",
"11 0 0 0 0 0 ... 0 0 0 0 0 1 0 0 \n",
"12 0 0 0 0 0 ... 0 0 1 1 0 1 0 0 \n",
"13 0 0 0 0 0 ... 9 0 0 0 0 0 0 0 \n",
"14 0 0 0 0 0 ... 0 0 0 0 0 0 0 0 \n",
"15 2 3 10 3 5 ... 4 2 3 1 0 1 0 1 \n",
"16 0 12 0 2 2 ... 0 0 0 0 0 0 0 0 \n",
"17 0 0 0 0 0 ... 0 1 1 0 0 0 0 0 \n",
"18 4 1 2 2 7 ... 1 1 2 3 2 3 1 6 \n",
"19 0 0 0 0 0 ... 0 0 0 0 0 0 0 0 \n",
"\n",
" B60 B61 \n",
"0 0 0 \n",
"1 0 0 \n",
"2 0 0 \n",
"3 1 0 \n",
"4 0 0 \n",
"5 0 0 \n",
"6 1 2 \n",
"7 0 0 \n",
"8 13 3 \n",
"9 0 0 \n",
"10 0 0 \n",
"11 0 0 \n",
"12 1 3 \n",
"13 0 0 \n",
"14 0 0 \n",
"15 1 7 \n",
"16 0 0 \n",
"17 0 0 \n",
"18 7 0 \n",
"19 0 0 \n",
"\n",
"[20 rows x 256 columns]"
],
"text/html": [
"\n",
" <div id=\"df-efb23dd8-79ae-4af2-8ed5-05f3a2561050\" class=\"colab-df-container\">\n",
" <div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>OTU</th>\n",
" <th>taxonomy</th>\n",
" <th>A1</th>\n",
" <th>A10</th>\n",
" <th>A100</th>\n",
" <th>A101</th>\n",
" <th>A102</th>\n",
" <th>A104</th>\n",
" <th>A105</th>\n",
" <th>A106</th>\n",
" <th>...</th>\n",
" <th>B52</th>\n",
" <th>B54</th>\n",
" <th>B55</th>\n",
" <th>B56</th>\n",
" <th>B57</th>\n",
" <th>B58</th>\n",
" <th>B59</th>\n",
" <th>B6</th>\n",
" <th>B60</th>\n",
" <th>B61</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>OTU1</td>\n",
" <td>d__Bacteria;_k__norank;_p__Firmicutes;_c__Clos...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>OTU2</td>\n",
" <td>d__Bacteria;_k__norank;_p__Proteobacteria;_c__...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>OTU3</td>\n",
" <td>d__Bacteria;_k__norank;_p__Firmicutes;_c__Erys...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>OTU4</td>\n",
" <td>d__Bacteria;_k__norank;_p__Firmicutes;_c__Baci...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>OTU5</td>\n",
" <td>d__Bacteria;_k__norank;_p__Tenericutes;_c__Mol...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>OTU6</td>\n",
" <td>d__Bacteria;_k__norank;_p__Firmicutes;_c__Nega...</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>OTU7</td>\n",
" <td>d__Bacteria;_k__norank;_p__Firmicutes;_c__Erys...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>6</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>4</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>OTU8</td>\n",
" <td>d__Bacteria;_k__norank;_p__Bacteroidetes;_c__B...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>485</td>\n",
" <td>142</td>\n",
" <td>1</td>\n",
" <td>113</td>\n",
" <td>1</td>\n",
" <td>7685</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>25</td>\n",
" <td>20</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>OTU9</td>\n",
" <td>d__Bacteria;_k__norank;_p__Firmicutes;_c__Clos...</td>\n",
" <td>50</td>\n",
" <td>10</td>\n",
" <td>13</td>\n",
" <td>17</td>\n",
" <td>9</td>\n",
" <td>15</td>\n",
" <td>9</td>\n",
" <td>5</td>\n",
" <td>...</td>\n",
" <td>7</td>\n",
" <td>12</td>\n",
" <td>7</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>7</td>\n",
" <td>13</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>OTU10</td>\n",
" <td>d__Bacteria;_k__norank;_p__Actinobacteria;_c__...</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>OTU11</td>\n",
" <td>d__Bacteria;_k__norank;_p__Actinobacteria;_c__...</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>OTU12</td>\n",
" <td>d__Bacteria;_k__norank;_p__Firmicutes;_c__Nega...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>OTU14</td>\n",
" <td>d__Bacteria;_k__norank;_p__Bacteroidetes;_c__B...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>OTU15</td>\n",
" <td>d__Bacteria;_k__norank;_p__Tenericutes;_c__Mol...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>9</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>OTU16</td>\n",
" <td>d__Bacteria;_k__norank;_p__Actinobacteria;_c__...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>OTU17</td>\n",
" <td>d__Bacteria;_k__norank;_p__Firmicutes;_c__Clos...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>6</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>10</td>\n",
" <td>3</td>\n",
" <td>5</td>\n",
" <td>...</td>\n",
" <td>4</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>OTU18</td>\n",
" <td>d__Bacteria;_k__norank;_p__Bacteroidetes;_c__B...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>12</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>OTU19</td>\n",
" <td>d__Bacteria;_k__norank;_p__Firmicutes;_c__Baci...</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>OTU20</td>\n",
" <td>d__Bacteria;_k__norank;_p__Firmicutes;_c__Clos...</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>4</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>7</td>\n",
" <td>...</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>6</td>\n",
" <td>7</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>OTU21</td>\n",
" <td>d__Bacteria;_k__norank;_p__Gemmatimonadetes;_c...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>20 rows × 256 columns</p>\n",
"</div>\n",
" <div class=\"colab-df-buttons\">\n",
"\n",
" <div class=\"colab-df-container\">\n",
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-efb23dd8-79ae-4af2-8ed5-05f3a2561050')\"\n",
" title=\"Convert this dataframe to an interactive table.\"\n",
" style=\"display:none;\">\n",
"\n",
" <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
" <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
" </svg>\n",
" </button>\n",
"\n",
" <style>\n",
" .colab-df-container {\n",
" display:flex;\n",
" gap: 12px;\n",
" }\n",
"\n",
" .colab-df-convert {\n",
" background-color: #E8F0FE;\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: #1967D2;\n",
" height: 32px;\n",
" padding: 0 0 0 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-convert:hover {\n",
" background-color: #E2EBFA;\n",
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: #174EA6;\n",
" }\n",
"\n",
" .colab-df-buttons div {\n",
" margin-bottom: 4px;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert {\n",
" background-color: #3B4455;\n",
" fill: #D2E3FC;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert:hover {\n",
" background-color: #434B5C;\n",
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
" fill: #FFFFFF;\n",
" }\n",
" </style>\n",
"\n",
" <script>\n",
" const buttonEl =\n",
" document.querySelector('#df-efb23dd8-79ae-4af2-8ed5-05f3a2561050 button.colab-df-convert');\n",
" buttonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"\n",
" async function convertToInteractive(key) {\n",
" const element = document.querySelector('#df-efb23dd8-79ae-4af2-8ed5-05f3a2561050');\n",
" const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
" if (!dataTable) return;\n",
"\n",
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
" + ' to learn more about interactive tables.';\n",
" element.innerHTML = '';\n",
" dataTable['output_type'] = 'display_data';\n",
" await google.colab.output.renderOutput(dataTable, element);\n",
" const docLink = document.createElement('div');\n",
" docLink.innerHTML = docLinkHtml;\n",
" element.appendChild(docLink);\n",
" }\n",
" </script>\n",
" </div>\n",
"\n",
"\n",
"<div id=\"df-7c04af45-3234-4c93-b9da-935f6f04fbf4\">\n",
" <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-7c04af45-3234-4c93-b9da-935f6f04fbf4')\"\n",
" title=\"Suggest charts\"\n",
" style=\"display:none;\">\n",
"\n",
"<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
" width=\"24px\">\n",
" <g>\n",
" <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
" </g>\n",
"</svg>\n",
" </button>\n",
"\n",
"<style>\n",
" .colab-df-quickchart {\n",
" --bg-color: #E8F0FE;\n",
" --fill-color: #1967D2;\n",
" --hover-bg-color: #E2EBFA;\n",
" --hover-fill-color: #174EA6;\n",
" --disabled-fill-color: #AAA;\n",
" --disabled-bg-color: #DDD;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-quickchart {\n",
" --bg-color: #3B4455;\n",
" --fill-color: #D2E3FC;\n",
" --hover-bg-color: #434B5C;\n",
" --hover-fill-color: #FFFFFF;\n",
" --disabled-bg-color: #3B4455;\n",
" --disabled-fill-color: #666;\n",
" }\n",
"\n",
" .colab-df-quickchart {\n",
" background-color: var(--bg-color);\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: var(--fill-color);\n",
" height: 32px;\n",
" padding: 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-quickchart:hover {\n",
" background-color: var(--hover-bg-color);\n",
" box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: var(--button-hover-fill-color);\n",
" }\n",
"\n",
" .colab-df-quickchart-complete:disabled,\n",
" .colab-df-quickchart-complete:disabled:hover {\n",
" background-color: var(--disabled-bg-color);\n",
" fill: var(--disabled-fill-color);\n",
" box-shadow: none;\n",
" }\n",
"\n",
" .colab-df-spinner {\n",
" border: 2px solid var(--fill-color);\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" animation:\n",
" spin 1s steps(1) infinite;\n",
" }\n",
"\n",
" @keyframes spin {\n",
" 0% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" border-left-color: var(--fill-color);\n",
" }\n",
" 20% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 30% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 40% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 60% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 80% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" 90% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" }\n",
"</style>\n",
"\n",
" <script>\n",
" async function quickchart(key) {\n",
" const quickchartButtonEl =\n",
" document.querySelector('#' + key + ' button');\n",
" quickchartButtonEl.disabled = true; // To prevent multiple clicks.\n",
" quickchartButtonEl.classList.add('colab-df-spinner');\n",
" try {\n",
" const charts = await google.colab.kernel.invokeFunction(\n",
" 'suggestCharts', [key], {});\n",
" } catch (error) {\n",
" console.error('Error during call to suggestCharts:', error);\n",
" }\n",
" quickchartButtonEl.classList.remove('colab-df-spinner');\n",
" quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
" }\n",
" (() => {\n",
" let quickchartButtonEl =\n",
" document.querySelector('#df-7c04af45-3234-4c93-b9da-935f6f04fbf4 button');\n",
" quickchartButtonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
" })();\n",
" </script>\n",
"</div>\n",
" </div>\n",
" </div>\n"
]
},
"metadata": {},
"execution_count": 8
}
],
"source": [
"rRNA_OTU= pd.read_csv(io.BytesIO(uploaded['GSE113690_Autism_16S_rRNA_OTU_assignment_and_abundance.csv']))\n",
"rRNA_OTU.head(20)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"id": "y0dYLoE0IZoc"
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"id": "AGFt8_9GLMBi",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "4bc9d6f1-37e6-42a1-bed1-23039af8b85c"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"(1322, 256)"
]
},
"metadata": {},
"execution_count": 9
}
],
"source": [
"rRNA_OTU.shape"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "THImtElGbcvk"
},
"source": [
"#Informations about the DataSet"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"id": "mOmqqrZhbRTt",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 349
},
"outputId": "dd977654-b058-4427-f909-eee7c0d65d11"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" A3 A5 A6 A9 A31 \\\n",
"count 5619.000000 5619.000000 5619.000000 5619.000000 5619.000000 \n",
"mean 13.097704 15.410393 10.348639 20.897847 17.033280 \n",
"std 143.126760 144.472056 104.290974 165.674456 149.263986 \n",
"min 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"25% 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"50% 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"75% 1.000000 1.000000 1.000000 2.000000 1.000000 \n",
"max 5803.000000 5612.000000 4109.000000 5745.000000 5383.000000 \n",
"\n",
" A51 A52 A53 A54 A59 ... \\\n",
"count 5619.000000 5619.000000 5619.000000 5619.000000 5619.000000 ... \n",
"mean 11.923652 15.551878 16.712938 18.305036 18.808863 ... \n",
"std 116.726055 149.813289 143.751194 150.129719 154.606830 ... \n",
"min 0.000000 0.000000 0.000000 0.000000 0.000000 ... \n",
"25% 0.000000 0.000000 0.000000 0.000000 0.000000 ... \n",
"50% 0.000000 0.000000 0.000000 0.000000 0.000000 ... \n",
"75% 1.000000 1.000000 1.000000 1.000000 1.000000 ... \n",
"max 4175.000000 5541.000000 6337.000000 5064.000000 6359.000000 ... \n",
"\n",
" B120 B127 B132 B141 B142 \\\n",
"count 5619.000000 5619.000000 5619.000000 5619.000000 5619.000000 \n",
"mean 18.201281 20.572700 20.241146 13.412885 14.840363 \n",
"std 141.082455 174.280866 173.026801 135.541296 145.620691 \n",
"min 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"25% 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"50% 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"75% 1.000000 1.000000 1.000000 1.000000 1.000000 \n",
"max 4471.000000 6041.000000 6561.000000 4910.000000 4925.000000 \n",
"\n",
" B143 B152 B156 B158 B164 \n",
"count 5619.000000 5619.000000 5619.000000 5619.000000 5619.000000 \n",
"mean 8.746930 12.918135 13.767396 10.209290 10.017975 \n",
"std 114.043483 119.844978 120.361359 108.498075 118.393981 \n",
"min 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"25% 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"50% 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"75% 0.000000 1.000000 1.000000 0.000000 1.000000 \n",
"max 5753.000000 5303.000000 4205.000000 3856.000000 4868.000000 \n",
"\n",
"[8 rows x 60 columns]"
],
"text/html": [
"\n",
" <div id=\"df-b5ee48de-b79e-484a-b9c5-5925eb9212b9\" class=\"colab-df-container\">\n",
" <div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>A3</th>\n",
" <th>A5</th>\n",
" <th>A6</th>\n",
" <th>A9</th>\n",
" <th>A31</th>\n",
" <th>A51</th>\n",
" <th>A52</th>\n",
" <th>A53</th>\n",
" <th>A54</th>\n",
" <th>A59</th>\n",
" <th>...</th>\n",
" <th>B120</th>\n",
" <th>B127</th>\n",
" <th>B132</th>\n",
" <th>B141</th>\n",
" <th>B142</th>\n",
" <th>B143</th>\n",
" <th>B152</th>\n",
" <th>B156</th>\n",
" <th>B158</th>\n",
" <th>B164</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>5619.000000</td>\n",
" <td>5619.000000</td>\n",
" <td>5619.000000</td>\n",
" <td>5619.000000</td>\n",
" <td>5619.000000</td>\n",
" <td>5619.000000</td>\n",
" <td>5619.000000</td>\n",
" <td>5619.000000</td>\n",
" <td>5619.000000</td>\n",
" <td>5619.000000</td>\n",
" <td>...</td>\n",
" <td>5619.000000</td>\n",
" <td>5619.000000</td>\n",
" <td>5619.000000</td>\n",
" <td>5619.000000</td>\n",
" <td>5619.000000</td>\n",
" <td>5619.000000</td>\n",
" <td>5619.000000</td>\n",
" <td>5619.000000</td>\n",
" <td>5619.000000</td>\n",
" <td>5619.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>13.097704</td>\n",
" <td>15.410393</td>\n",
" <td>10.348639</td>\n",
" <td>20.897847</td>\n",
" <td>17.033280</td>\n",
" <td>11.923652</td>\n",
" <td>15.551878</td>\n",
" <td>16.712938</td>\n",
" <td>18.305036</td>\n",
" <td>18.808863</td>\n",
" <td>...</td>\n",
" <td>18.201281</td>\n",
" <td>20.572700</td>\n",
" <td>20.241146</td>\n",
" <td>13.412885</td>\n",
" <td>14.840363</td>\n",
" <td>8.746930</td>\n",
" <td>12.918135</td>\n",
" <td>13.767396</td>\n",
" <td>10.209290</td>\n",
" <td>10.017975</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>143.126760</td>\n",
" <td>144.472056</td>\n",
" <td>104.290974</td>\n",
" <td>165.674456</td>\n",
" <td>149.263986</td>\n",
" <td>116.726055</td>\n",
" <td>149.813289</td>\n",
" <td>143.751194</td>\n",
" <td>150.129719</td>\n",
" <td>154.606830</td>\n",
" <td>...</td>\n",
" <td>141.082455</td>\n",
" <td>174.280866</td>\n",
" <td>173.026801</td>\n",
" <td>135.541296</td>\n",
" <td>145.620691</td>\n",
" <td>114.043483</td>\n",
" <td>119.844978</td>\n",
" <td>120.361359</td>\n",
" <td>108.498075</td>\n",
" <td>118.393981</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>...</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>...</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>...</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>2.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>...</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>0.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>0.000000</td>\n",
" <td>1.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>5803.000000</td>\n",
" <td>5612.000000</td>\n",
" <td>4109.000000</td>\n",
" <td>5745.000000</td>\n",
" <td>5383.000000</td>\n",
" <td>4175.000000</td>\n",
" <td>5541.000000</td>\n",
" <td>6337.000000</td>\n",
" <td>5064.000000</td>\n",
" <td>6359.000000</td>\n",
" <td>...</td>\n",
" <td>4471.000000</td>\n",
" <td>6041.000000</td>\n",
" <td>6561.000000</td>\n",
" <td>4910.000000</td>\n",
" <td>4925.000000</td>\n",
" <td>5753.000000</td>\n",
" <td>5303.000000</td>\n",
" <td>4205.000000</td>\n",
" <td>3856.000000</td>\n",
" <td>4868.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>8 rows × 60 columns</p>\n",
"</div>\n",
" <div class=\"colab-df-buttons\">\n",
"\n",
" <div class=\"colab-df-container\">\n",
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-b5ee48de-b79e-484a-b9c5-5925eb9212b9')\"\n",
" title=\"Convert this dataframe to an interactive table.\"\n",
" style=\"display:none;\">\n",
"\n",
" <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
" <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
" </svg>\n",
" </button>\n",
"\n",
" <style>\n",
" .colab-df-container {\n",
" display:flex;\n",
" gap: 12px;\n",
" }\n",
"\n",
" .colab-df-convert {\n",
" background-color: #E8F0FE;\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: #1967D2;\n",
" height: 32px;\n",
" padding: 0 0 0 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-convert:hover {\n",
" background-color: #E2EBFA;\n",
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: #174EA6;\n",
" }\n",
"\n",
" .colab-df-buttons div {\n",
" margin-bottom: 4px;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert {\n",
" background-color: #3B4455;\n",
" fill: #D2E3FC;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert:hover {\n",
" background-color: #434B5C;\n",
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
" fill: #FFFFFF;\n",
" }\n",
" </style>\n",
"\n",
" <script>\n",
" const buttonEl =\n",
" document.querySelector('#df-b5ee48de-b79e-484a-b9c5-5925eb9212b9 button.colab-df-convert');\n",
" buttonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"\n",
" async function convertToInteractive(key) {\n",
" const element = document.querySelector('#df-b5ee48de-b79e-484a-b9c5-5925eb9212b9');\n",
" const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
" if (!dataTable) return;\n",
"\n",
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
" + ' to learn more about interactive tables.';\n",
" element.innerHTML = '';\n",
" dataTable['output_type'] = 'display_data';\n",
" await google.colab.output.renderOutput(dataTable, element);\n",
" const docLink = document.createElement('div');\n",
" docLink.innerHTML = docLinkHtml;\n",
" element.appendChild(docLink);\n",
" }\n",
" </script>\n",
" </div>\n",
"\n",
"\n",
"<div id=\"df-02b2decd-2fef-4c91-ad52-20217cff0525\">\n",
" <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-02b2decd-2fef-4c91-ad52-20217cff0525')\"\n",
" title=\"Suggest charts\"\n",
" style=\"display:none;\">\n",
"\n",
"<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
" width=\"24px\">\n",
" <g>\n",
" <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
" </g>\n",
"</svg>\n",
" </button>\n",
"\n",
"<style>\n",
" .colab-df-quickchart {\n",
" --bg-color: #E8F0FE;\n",
" --fill-color: #1967D2;\n",
" --hover-bg-color: #E2EBFA;\n",
" --hover-fill-color: #174EA6;\n",
" --disabled-fill-color: #AAA;\n",
" --disabled-bg-color: #DDD;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-quickchart {\n",
" --bg-color: #3B4455;\n",
" --fill-color: #D2E3FC;\n",
" --hover-bg-color: #434B5C;\n",
" --hover-fill-color: #FFFFFF;\n",
" --disabled-bg-color: #3B4455;\n",
" --disabled-fill-color: #666;\n",
" }\n",
"\n",
" .colab-df-quickchart {\n",
" background-color: var(--bg-color);\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: var(--fill-color);\n",
" height: 32px;\n",
" padding: 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-quickchart:hover {\n",
" background-color: var(--hover-bg-color);\n",
" box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: var(--button-hover-fill-color);\n",
" }\n",
"\n",
" .colab-df-quickchart-complete:disabled,\n",
" .colab-df-quickchart-complete:disabled:hover {\n",
" background-color: var(--disabled-bg-color);\n",
" fill: var(--disabled-fill-color);\n",
" box-shadow: none;\n",
" }\n",
"\n",
" .colab-df-spinner {\n",
" border: 2px solid var(--fill-color);\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" animation:\n",
" spin 1s steps(1) infinite;\n",
" }\n",
"\n",
" @keyframes spin {\n",
" 0% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" border-left-color: var(--fill-color);\n",
" }\n",
" 20% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 30% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 40% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 60% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 80% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" 90% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" }\n",
"</style>\n",
"\n",
" <script>\n",
" async function quickchart(key) {\n",
" const quickchartButtonEl =\n",
" document.querySelector('#' + key + ' button');\n",
" quickchartButtonEl.disabled = true; // To prevent multiple clicks.\n",
" quickchartButtonEl.classList.add('colab-df-spinner');\n",
" try {\n",
" const charts = await google.colab.kernel.invokeFunction(\n",
" 'suggestCharts', [key], {});\n",
" } catch (error) {\n",
" console.error('Error during call to suggestCharts:', error);\n",
" }\n",
" quickchartButtonEl.classList.remove('colab-df-spinner');\n",
" quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
" }\n",
" (() => {\n",
" let quickchartButtonEl =\n",
" document.querySelector('#df-02b2decd-2fef-4c91-ad52-20217cff0525 button');\n",
" quickchartButtonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
" })();\n",
" </script>\n",
"</div>\n",
" </div>\n",
" </div>\n"
]
},
"metadata": {},
"execution_count": 10
}
],
"source": [
"ASD_meta.describe()"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"id": "6gxttWZHbjbC",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "5ebb178f-1f1d-402c-bb13-6af7d5766ad0"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 5619 entries, 0 to 5618\n",
"Data columns (total 61 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 Taxonomy 5619 non-null object\n",
" 1 A3 5619 non-null int64 \n",
" 2 A5 5619 non-null int64 \n",
" 3 A6 5619 non-null int64 \n",
" 4 A9 5619 non-null int64 \n",
" 5 A31 5619 non-null int64 \n",
" 6 A51 5619 non-null int64 \n",
" 7 A52 5619 non-null int64 \n",
" 8 A53 5619 non-null int64 \n",
" 9 A54 5619 non-null int64 \n",
" 10 A59 5619 non-null int64 \n",
" 11 A67 5619 non-null int64 \n",
" 12 A68 5619 non-null int64 \n",
" 13 A69 5619 non-null int64 \n",
" 14 A71 5619 non-null int64 \n",
" 15 A73 5619 non-null int64 \n",
" 16 A76 5619 non-null int64 \n",
" 17 A78 5619 non-null int64 \n",
" 18 A87 5619 non-null int64 \n",
" 19 A89 5619 non-null int64 \n",
" 20 A93 5619 non-null int64 \n",
" 21 A101 5619 non-null int64 \n",
" 22 A109 5619 non-null int64 \n",
" 23 A113 5619 non-null int64 \n",
" 24 A114 5619 non-null int64 \n",
" 25 A115 5619 non-null int64 \n",
" 26 A142 5619 non-null int64 \n",
" 27 A144 5619 non-null int64 \n",
" 28 A149 5619 non-null int64 \n",
" 29 A164 5619 non-null int64 \n",
" 30 A165 5619 non-null int64 \n",
" 31 B1 5619 non-null int64 \n",
" 32 B2 5619 non-null int64 \n",
" 33 B3 5619 non-null int64 \n",
" 34 B5 5619 non-null int64 \n",
" 35 B6 5619 non-null int64 \n",
" 36 B7 5619 non-null int64 \n",
" 37 B8 5619 non-null int64 \n",
" 38 B13 5619 non-null int64 \n",
" 39 B14 5619 non-null int64 \n",
" 40 B28 5619 non-null int64 \n",
" 41 B29 5619 non-null int64 \n",
" 42 B36 5619 non-null int64 \n",
" 43 B37 5619 non-null int64 \n",
" 44 B94 5619 non-null int64 \n",
" 45 B99 5619 non-null int64 \n",
" 46 B103 5619 non-null int64 \n",
" 47 B106 5619 non-null int64 \n",
" 48 B111 5619 non-null int64 \n",
" 49 B114 5619 non-null int64 \n",
" 50 B115 5619 non-null int64 \n",
" 51 B120 5619 non-null int64 \n",
" 52 B127 5619 non-null int64 \n",
" 53 B132 5619 non-null int64 \n",
" 54 B141 5619 non-null int64 \n",
" 55 B142 5619 non-null int64 \n",
" 56 B143 5619 non-null int64 \n",
" 57 B152 5619 non-null int64 \n",
" 58 B156 5619 non-null int64 \n",
" 59 B158 5619 non-null int64 \n",
" 60 B164 5619 non-null int64 \n",
"dtypes: int64(60), object(1)\n",
"memory usage: 2.6+ MB\n"
]
}
],
"source": [
"ASD_meta.info() #### this paarticular data is clean."
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"id": "vWoT7M-jbpHT"
},
"outputs": [],
"source": [
"#taxa= rRNA_OTU[['OTU', 'taxonomy']].set_index('OTU')\n",
"#taxa"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"id": "E32xcesrjD7g",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 349
},
"outputId": "836c3e81-35fa-4a69-a4dd-e5a8f4b8b635"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" A1 A10 A100 A101 A102 \\\n",
"count 1322.000000 1322.000000 1322.000000 1322.000000 1322.000000 \n",
"mean 24.021936 24.021936 24.021936 24.021936 24.021936 \n",
"std 244.199925 189.799405 139.254461 195.813732 197.503710 \n",
"min 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"25% 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"50% 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"75% 1.000000 1.000000 1.000000 1.000000 1.000000 \n",
"max 5865.000000 4808.000000 2616.000000 5839.000000 5701.000000 \n",
"\n",
" A104 A105 A106 A108 A109 ... \\\n",
"count 1322.000000 1322.000000 1322.000000 1322.000000 1322.000000 ... \n",
"mean 24.021936 24.021936 24.021936 24.021936 24.021936 ... \n",
"std 203.391886 160.052642 247.470492 231.797150 181.762180 ... \n",
"min 0.000000 0.000000 0.000000 0.000000 0.000000 ... \n",
"25% 0.000000 0.000000 0.000000 0.000000 0.000000 ... \n",
"50% 0.000000 0.000000 0.000000 0.000000 0.000000 ... \n",
"75% 1.000000 1.000000 1.000000 1.000000 1.000000 ... \n",
"max 5758.000000 3064.000000 7685.000000 7544.000000 3742.000000 ... \n",
"\n",
" B52 B54 B55 B56 B57 \\\n",
"count 1322.000000 1322.000000 1322.000000 1322.000000 1322.000000 \n",
"mean 24.021936 24.021936 24.021936 24.021936 24.021936 \n",
"std 246.785018 229.083403 257.203478 196.741465 270.288024 \n",
"min 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"25% 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"50% 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"75% 1.000000 0.000000 0.000000 0.000000 0.000000 \n",
"max 7175.000000 6104.000000 7449.000000 4040.000000 6360.000000 \n",
"\n",
" B58 B59 B6 B60 B61 \n",
"count 1322.000000 1322.000000 1322.000000 1322.000000 1322.000000 \n",
"mean 24.021936 24.021936 24.021936 24.021936 24.021936 \n",
"std 209.475970 315.156941 187.257506 182.356615 225.963926 \n",
"min 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"25% 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"50% 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"75% 1.000000 0.000000 1.000000 0.000000 0.000000 \n",
"max 5148.000000 8602.000000 4702.000000 3696.000000 6184.000000 \n",
"\n",
"[8 rows x 254 columns]"
],
"text/html": [
"\n",
" <div id=\"df-04f74cb2-3377-40af-909c-9397ca4fd493\" class=\"colab-df-container\">\n",
" <div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>A1</th>\n",
" <th>A10</th>\n",
" <th>A100</th>\n",
" <th>A101</th>\n",
" <th>A102</th>\n",
" <th>A104</th>\n",
" <th>A105</th>\n",
" <th>A106</th>\n",
" <th>A108</th>\n",
" <th>A109</th>\n",
" <th>...</th>\n",
" <th>B52</th>\n",
" <th>B54</th>\n",
" <th>B55</th>\n",
" <th>B56</th>\n",
" <th>B57</th>\n",
" <th>B58</th>\n",
" <th>B59</th>\n",
" <th>B6</th>\n",
" <th>B60</th>\n",
" <th>B61</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>1322.000000</td>\n",
" <td>1322.000000</td>\n",
" <td>1322.000000</td>\n",
" <td>1322.000000</td>\n",
" <td>1322.000000</td>\n",
" <td>1322.000000</td>\n",
" <td>1322.000000</td>\n",
" <td>1322.000000</td>\n",
" <td>1322.000000</td>\n",
" <td>1322.000000</td>\n",
" <td>...</td>\n",
" <td>1322.000000</td>\n",
" <td>1322.000000</td>\n",
" <td>1322.000000</td>\n",
" <td>1322.000000</td>\n",
" <td>1322.000000</td>\n",
" <td>1322.000000</td>\n",
" <td>1322.000000</td>\n",
" <td>1322.000000</td>\n",
" <td>1322.000000</td>\n",
" <td>1322.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>24.021936</td>\n",
" <td>24.021936</td>\n",
" <td>24.021936</td>\n",
" <td>24.021936</td>\n",
" <td>24.021936</td>\n",
" <td>24.021936</td>\n",
" <td>24.021936</td>\n",
" <td>24.021936</td>\n",
" <td>24.021936</td>\n",
" <td>24.021936</td>\n",
" <td>...</td>\n",
" <td>24.021936</td>\n",
" <td>24.021936</td>\n",
" <td>24.021936</td>\n",
" <td>24.021936</td>\n",
" <td>24.021936</td>\n",
" <td>24.021936</td>\n",
" <td>24.021936</td>\n",
" <td>24.021936</td>\n",
" <td>24.021936</td>\n",
" <td>24.021936</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>244.199925</td>\n",
" <td>189.799405</td>\n",
" <td>139.254461</td>\n",
" <td>195.813732</td>\n",
" <td>197.503710</td>\n",
" <td>203.391886</td>\n",
" <td>160.052642</td>\n",
" <td>247.470492</td>\n",
" <td>231.797150</td>\n",
" <td>181.762180</td>\n",
" <td>...</td>\n",
" <td>246.785018</td>\n",
" <td>229.083403</td>\n",
" <td>257.203478</td>\n",
" <td>196.741465</td>\n",
" <td>270.288024</td>\n",
" <td>209.475970</td>\n",
" <td>315.156941</td>\n",
" <td>187.257506</td>\n",
" <td>182.356615</td>\n",
" <td>225.963926</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>...</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>...</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>...</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>...</td>\n",
" <td>1.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>1.000000</td>\n",
" <td>0.000000</td>\n",
" <td>1.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>5865.000000</td>\n",
" <td>4808.000000</td>\n",
" <td>2616.000000</td>\n",
" <td>5839.000000</td>\n",
" <td>5701.000000</td>\n",
" <td>5758.000000</td>\n",
" <td>3064.000000</td>\n",
" <td>7685.000000</td>\n",
" <td>7544.000000</td>\n",
" <td>3742.000000</td>\n",
" <td>...</td>\n",
" <td>7175.000000</td>\n",
" <td>6104.000000</td>\n",
" <td>7449.000000</td>\n",
" <td>4040.000000</td>\n",
" <td>6360.000000</td>\n",
" <td>5148.000000</td>\n",
" <td>8602.000000</td>\n",
" <td>4702.000000</td>\n",
" <td>3696.000000</td>\n",
" <td>6184.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>8 rows × 254 columns</p>\n",
"</div>\n",
" <div class=\"colab-df-buttons\">\n",
"\n",
" <div class=\"colab-df-container\">\n",
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-04f74cb2-3377-40af-909c-9397ca4fd493')\"\n",
" title=\"Convert this dataframe to an interactive table.\"\n",
" style=\"display:none;\">\n",
"\n",
" <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
" <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
" </svg>\n",
" </button>\n",
"\n",
" <style>\n",
" .colab-df-container {\n",
" display:flex;\n",
" gap: 12px;\n",
" }\n",
"\n",
" .colab-df-convert {\n",
" background-color: #E8F0FE;\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: #1967D2;\n",
" height: 32px;\n",
" padding: 0 0 0 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-convert:hover {\n",
" background-color: #E2EBFA;\n",
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: #174EA6;\n",
" }\n",
"\n",
" .colab-df-buttons div {\n",
" margin-bottom: 4px;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert {\n",
" background-color: #3B4455;\n",
" fill: #D2E3FC;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert:hover {\n",
" background-color: #434B5C;\n",
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
" fill: #FFFFFF;\n",
" }\n",
" </style>\n",
"\n",
" <script>\n",
" const buttonEl =\n",
" document.querySelector('#df-04f74cb2-3377-40af-909c-9397ca4fd493 button.colab-df-convert');\n",
" buttonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"\n",
" async function convertToInteractive(key) {\n",
" const element = document.querySelector('#df-04f74cb2-3377-40af-909c-9397ca4fd493');\n",
" const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
" if (!dataTable) return;\n",
"\n",
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
" + ' to learn more about interactive tables.';\n",
" element.innerHTML = '';\n",
" dataTable['output_type'] = 'display_data';\n",
" await google.colab.output.renderOutput(dataTable, element);\n",
" const docLink = document.createElement('div');\n",
" docLink.innerHTML = docLinkHtml;\n",
" element.appendChild(docLink);\n",
" }\n",
" </script>\n",
" </div>\n",
"\n",
"\n",
"<div id=\"df-7c518d10-0b92-4378-9eb6-9a22cf259d9a\">\n",
" <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-7c518d10-0b92-4378-9eb6-9a22cf259d9a')\"\n",
" title=\"Suggest charts\"\n",
" style=\"display:none;\">\n",
"\n",
"<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
" width=\"24px\">\n",
" <g>\n",
" <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
" </g>\n",
"</svg>\n",
" </button>\n",
"\n",
"<style>\n",
" .colab-df-quickchart {\n",
" --bg-color: #E8F0FE;\n",
" --fill-color: #1967D2;\n",
" --hover-bg-color: #E2EBFA;\n",
" --hover-fill-color: #174EA6;\n",
" --disabled-fill-color: #AAA;\n",
" --disabled-bg-color: #DDD;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-quickchart {\n",
" --bg-color: #3B4455;\n",
" --fill-color: #D2E3FC;\n",
" --hover-bg-color: #434B5C;\n",
" --hover-fill-color: #FFFFFF;\n",
" --disabled-bg-color: #3B4455;\n",
" --disabled-fill-color: #666;\n",
" }\n",
"\n",
" .colab-df-quickchart {\n",
" background-color: var(--bg-color);\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: var(--fill-color);\n",
" height: 32px;\n",
" padding: 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-quickchart:hover {\n",
" background-color: var(--hover-bg-color);\n",
" box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: var(--button-hover-fill-color);\n",
" }\n",
"\n",
" .colab-df-quickchart-complete:disabled,\n",
" .colab-df-quickchart-complete:disabled:hover {\n",
" background-color: var(--disabled-bg-color);\n",
" fill: var(--disabled-fill-color);\n",
" box-shadow: none;\n",
" }\n",
"\n",
" .colab-df-spinner {\n",
" border: 2px solid var(--fill-color);\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" animation:\n",
" spin 1s steps(1) infinite;\n",
" }\n",
"\n",
" @keyframes spin {\n",
" 0% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" border-left-color: var(--fill-color);\n",
" }\n",
" 20% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 30% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 40% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 60% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 80% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" 90% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" }\n",
"</style>\n",
"\n",
" <script>\n",
" async function quickchart(key) {\n",
" const quickchartButtonEl =\n",
" document.querySelector('#' + key + ' button');\n",
" quickchartButtonEl.disabled = true; // To prevent multiple clicks.\n",
" quickchartButtonEl.classList.add('colab-df-spinner');\n",
" try {\n",
" const charts = await google.colab.kernel.invokeFunction(\n",
" 'suggestCharts', [key], {});\n",
" } catch (error) {\n",
" console.error('Error during call to suggestCharts:', error);\n",
" }\n",
" quickchartButtonEl.classList.remove('colab-df-spinner');\n",
" quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
" }\n",
" (() => {\n",
" let quickchartButtonEl =\n",
" document.querySelector('#df-7c518d10-0b92-4378-9eb6-9a22cf259d9a button');\n",
" quickchartButtonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
" })();\n",
" </script>\n",
"</div>\n",
" </div>\n",
" </div>\n"
]
},
"metadata": {},
"execution_count": 13
}
],
"source": [
"rRNA_OTU.describe()\n"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"id": "ijxVkCwZJErg",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "c35ee8f9-8f90-4de3-ea74-bb30a35d72b5"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 1322 entries, 0 to 1321\n",
"Columns: 256 entries, OTU to B61\n",
"dtypes: int64(254), object(2)\n",
"memory usage: 2.6+ MB\n"
]
}
],
"source": [
"rRNA_OTU.info()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "LHrilvS8o5Sb"
},
"source": [
"#Data Cleaning"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"id": "PgV9KjbwJU_c"
},
"outputs": [],
"source": [
"### Dataset above are clean"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "d7qW7tFJsTPx"
},
"source": [
"# Exploratory Analysis, Data Manipulation and Visualization"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "ySOKHaNGLek7"
},
"source": [
"Correlation of Microbiom among the sampled individuals"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"id": "mvhdjPmAKyn3",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 778
},
"outputId": "90279eba-6585-45cb-ca5f-1003022aca61"
},
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
"<ipython-input-16-07566f3ea9aa>:2: FutureWarning: The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.\n",
" corr_matrix = ASD_meta.corr()\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 1000x800 with 2 Axes>"
],
"image/png": "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\n"
},
"metadata": {}
}
],
"source": [
"# Performing correlation Analysis and Heatmap\n",
"corr_matrix = ASD_meta.corr()\n",
"\n",
"plt.figure(figsize=(10, 8))\n",
"sns.heatmap(corr_matrix, annot= False, cmap='viridis')\n",
"#####\n",
"plt.title('Correlation of Microbiome Across Individuals')\n",
"# Display the plot\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"id": "GB_Sx3ZCMRA7",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "f3af5c07-a0e8-4c5f-a8c1-09152488d997"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
" A3 A5 A6 A9 A31 A51 A52 \\\n",
"A3 1.000000 0.856773 0.837105 0.699472 0.793624 0.914774 0.815436 \n",
"A5 0.856773 1.000000 0.785332 0.719953 0.767398 0.834205 0.791900 \n",
"A6 0.837105 0.785332 1.000000 0.553835 0.698286 0.832340 0.674888 \n",
"A9 0.699472 0.719953 0.553835 1.000000 0.765373 0.702651 0.755733 \n",
"A31 0.793624 0.767398 0.698286 0.765373 1.000000 0.816401 0.808028 \n",
"A51 0.914774 0.834205 0.832340 0.702651 0.816401 1.000000 0.855530 \n",
"A52 0.815436 0.791900 0.674888 0.755733 0.808028 0.855530 1.000000 \n",
"A53 0.742472 0.799761 0.631855 0.841303 0.823051 0.779641 0.830062 \n",
"A54 0.855911 0.808506 0.778969 0.726570 0.807974 0.866337 0.793694 \n",
"A59 0.788018 0.812237 0.713211 0.823867 0.787083 0.783417 0.801556 \n",
"A67 0.736751 0.717541 0.749598 0.603004 0.766090 0.724860 0.641827 \n",
"A68 0.755077 0.778802 0.619384 0.755013 0.829056 0.815990 0.826589 \n",
"A69 0.859728 0.803171 0.825391 0.666381 0.787230 0.832335 0.718934 \n",
"A71 0.722694 0.744973 0.566093 0.845015 0.795767 0.729957 0.779069 \n",
"A73 0.878365 0.857535 0.850039 0.617095 0.741083 0.901635 0.781589 \n",
"A76 0.736115 0.753000 0.639826 0.800887 0.819541 0.786885 0.762345 \n",
"A78 0.769185 0.806787 0.662525 0.836209 0.837892 0.791416 0.798736 \n",
"A87 0.798180 0.770404 0.754908 0.745241 0.787878 0.851043 0.816707 \n",
"A89 0.858171 0.812767 0.839713 0.683206 0.788444 0.865002 0.737606 \n",
"A93 0.848433 0.790452 0.822230 0.629094 0.723208 0.829255 0.765800 \n",
"A101 0.800609 0.787650 0.729352 0.714290 0.769004 0.803619 0.783834 \n",
"A109 0.819926 0.807170 0.847912 0.548006 0.664406 0.838156 0.715516 \n",
"A113 0.790758 0.771622 0.754004 0.779098 0.864622 0.846803 0.782526 \n",
"A114 0.663741 0.706007 0.572805 0.843061 0.776596 0.690093 0.702194 \n",
"A115 0.869639 0.808888 0.845169 0.614277 0.714689 0.870446 0.748351 \n",
"A142 0.696758 0.690586 0.570631 0.839449 0.757559 0.700398 0.734179 \n",
"A144 0.709787 0.698335 0.575374 0.802763 0.705048 0.711044 0.772390 \n",
"A149 0.868792 0.837372 0.755972 0.799750 0.846952 0.868971 0.857462 \n",
"A164 0.744599 0.799116 0.663982 0.810501 0.851107 0.764761 0.809576 \n",
"A165 0.724602 0.745395 0.625178 0.761819 0.753325 0.748912 0.691507 \n",
"B1 0.709829 0.742968 0.604959 0.823236 0.833257 0.731017 0.762766 \n",
"B2 0.864055 0.828942 0.794665 0.701959 0.772475 0.867431 0.845024 \n",
"B3 0.819241 0.779643 0.771895 0.768081 0.824648 0.814327 0.815127 \n",
"B5 0.792359 0.808025 0.688219 0.853145 0.814014 0.772275 0.764627 \n",
"B6 0.858641 0.793901 0.684929 0.792618 0.815937 0.834134 0.819675 \n",
"B7 0.739196 0.764630 0.706902 0.747410 0.816095 0.761063 0.745885 \n",
"B8 0.826008 0.827014 0.754519 0.823205 0.839965 0.847548 0.878152 \n",
"B13 0.855707 0.845216 0.774379 0.790113 0.844086 0.853416 0.834903 \n",
"B14 0.843314 0.746487 0.770147 0.632943 0.719825 0.815613 0.748949 \n",
"B28 0.895379 0.824849 0.783115 0.724161 0.826651 0.885315 0.847174 \n",
"B29 0.792287 0.797069 0.825331 0.539514 0.626199 0.777753 0.710688 \n",
"B36 0.802007 0.766173 0.713604 0.653473 0.722040 0.832335 0.884703 \n",
"B37 0.850131 0.801339 0.829628 0.684727 0.797311 0.860638 0.814135 \n",
"B94 0.887957 0.844498 0.851132 0.704231 0.836362 0.865270 0.785993 \n",
"B99 0.799189 0.787042 0.786123 0.518178 0.665382 0.787424 0.679619 \n",
"B103 0.732744 0.733230 0.614737 0.824753 0.841960 0.733392 0.751796 \n",
"B106 0.919242 0.839428 0.837755 0.705665 0.770826 0.885888 0.779794 \n",
"B111 0.718798 0.683946 0.572924 0.834816 0.817182 0.726370 0.778916 \n",
"B114 0.795088 0.794213 0.703865 0.819306 0.839459 0.798983 0.807082 \n",
"B115 0.875564 0.870149 0.747090 0.726220 0.797357 0.841557 0.819093 \n",
"B120 0.721395 0.789613 0.672239 0.841702 0.783506 0.758114 0.766351 \n",
"B127 0.806344 0.812155 0.653677 0.853280 0.811521 0.802032 0.860689 \n",
"B132 0.767670 0.777609 0.591581 0.881781 0.815368 0.779978 0.850644 \n",
"B141 0.844753 0.798595 0.740042 0.787003 0.828214 0.831391 0.785719 \n",
"B142 0.892093 0.809852 0.829521 0.729039 0.873845 0.886960 0.807540 \n",
"B143 0.872410 0.770837 0.820290 0.526528 0.654990 0.817387 0.729933 \n",
"B152 0.729494 0.760614 0.670968 0.763707 0.854744 0.760075 0.759929 \n",
"B156 0.710602 0.739026 0.592602 0.784626 0.833083 0.722492 0.814030 \n",
"B158 0.776464 0.751724 0.726095 0.732034 0.792057 0.818467 0.807573 \n",
"B164 0.846740 0.872313 0.710414 0.725912 0.827921 0.835443 0.817657 \n",
"\n",
" A53 A54 A59 ... B120 B127 B132 \\\n",
"A3 0.742472 0.855911 0.788018 ... 0.721395 0.806344 0.767670 \n",
"A5 0.799761 0.808506 0.812237 ... 0.789613 0.812155 0.777609 \n",
"A6 0.631855 0.778969 0.713211 ... 0.672239 0.653677 0.591581 \n",
"A9 0.841303 0.726570 0.823867 ... 0.841702 0.853280 0.881781 \n",
"A31 0.823051 0.807974 0.787083 ... 0.783506 0.811521 0.815368 \n",
"A51 0.779641 0.866337 0.783417 ... 0.758114 0.802032 0.779978 \n",
"A52 0.830062 0.793694 0.801556 ... 0.766351 0.860689 0.850644 \n",
"A53 1.000000 0.772320 0.828845 ... 0.839951 0.823178 0.862378 \n",
"A54 0.772320 1.000000 0.783395 ... 0.790118 0.819329 0.786641 \n",
"A59 0.828845 0.783395 1.000000 ... 0.847735 0.841999 0.845292 \n",
"A67 0.576464 0.692945 0.642044 ... 0.606675 0.655552 0.614801 \n",
"A68 0.870488 0.773772 0.758912 ... 0.772226 0.803981 0.835188 \n",
"A69 0.700200 0.863940 0.732383 ... 0.725337 0.768395 0.714109 \n",
"A71 0.822684 0.733408 0.797165 ... 0.787406 0.829019 0.867944 \n",
"A73 0.675461 0.808830 0.742578 ... 0.712761 0.727372 0.681942 \n",
"A76 0.862178 0.755850 0.789591 ... 0.789110 0.796750 0.843814 \n",
"A78 0.921431 0.809575 0.821215 ... 0.834331 0.833817 0.854284 \n",
"A87 0.823717 0.812699 0.823052 ... 0.819425 0.789707 0.803480 \n",
"A89 0.696359 0.823865 0.771002 ... 0.702478 0.770591 0.714368 \n",
"A93 0.677428 0.791244 0.767478 ... 0.695737 0.754298 0.693027 \n",
"A101 0.673509 0.748157 0.768028 ... 0.732253 0.802454 0.757628 \n",
"A109 0.657584 0.786560 0.728159 ... 0.637764 0.686054 0.637657 \n",
"A113 0.867460 0.814171 0.835517 ... 0.794619 0.787843 0.799065 \n",
"A114 0.792188 0.698116 0.827902 ... 0.800268 0.800758 0.830798 \n",
"A115 0.672269 0.805780 0.709305 ... 0.672315 0.728326 0.676012 \n",
"A142 0.749558 0.729710 0.777446 ... 0.793144 0.841757 0.864690 \n",
"A144 0.805472 0.741880 0.807144 ... 0.757224 0.832159 0.857229 \n",
"A149 0.836713 0.834848 0.857651 ... 0.788961 0.862141 0.851443 \n",
"A164 0.863039 0.768232 0.844253 ... 0.818586 0.832180 0.827379 \n",
"A165 0.808253 0.744066 0.788924 ... 0.784693 0.755147 0.785598 \n",
"B1 0.820285 0.696012 0.798147 ... 0.809205 0.825630 0.853354 \n",
"B2 0.726722 0.862560 0.783615 ... 0.756873 0.836300 0.780254 \n",
"B3 0.816411 0.798493 0.853115 ... 0.816233 0.851616 0.840774 \n",
"B5 0.768663 0.787136 0.845674 ... 0.811983 0.885400 0.857346 \n",
"B6 0.839240 0.811935 0.838705 ... 0.757297 0.831229 0.843004 \n",
"B7 0.803941 0.783686 0.844462 ... 0.748964 0.755236 0.759959 \n",
"B8 0.849907 0.821595 0.824382 ... 0.854226 0.858751 0.850271 \n",
"B13 0.812369 0.855961 0.854849 ... 0.831226 0.848747 0.825683 \n",
"B14 0.702823 0.724820 0.740411 ... 0.654646 0.716957 0.680546 \n",
"B28 0.788527 0.801687 0.746834 ... 0.765575 0.808369 0.778382 \n",
"B29 0.594817 0.767450 0.691759 ... 0.613607 0.673884 0.583542 \n",
"B36 0.711569 0.804188 0.736538 ... 0.656748 0.815935 0.758751 \n",
"B37 0.750380 0.857246 0.774050 ... 0.727930 0.789787 0.757800 \n",
"B94 0.712021 0.818294 0.777696 ... 0.740812 0.781767 0.730852 \n",
"B99 0.549385 0.750345 0.636240 ... 0.601351 0.721902 0.640729 \n",
"B103 0.846617 0.771232 0.774399 ... 0.805804 0.807882 0.822876 \n",
"B106 0.740580 0.849586 0.778378 ... 0.755484 0.808305 0.763080 \n",
"B111 0.814710 0.732356 0.797731 ... 0.775004 0.881362 0.907514 \n",
"B114 0.763613 0.795741 0.841633 ... 0.787882 0.886545 0.858502 \n",
"B115 0.740807 0.833718 0.807201 ... 0.764982 0.861729 0.814399 \n",
"B120 0.839951 0.790118 0.847735 ... 1.000000 0.826091 0.847556 \n",
"B127 0.823178 0.819329 0.841999 ... 0.826091 1.000000 0.973526 \n",
"B132 0.862378 0.786641 0.845292 ... 0.847556 0.973526 1.000000 \n",
"B141 0.770985 0.827823 0.793895 ... 0.781674 0.858149 0.824123 \n",
"B142 0.753882 0.857961 0.807435 ... 0.760629 0.819641 0.775464 \n",
"B143 0.562212 0.788564 0.691925 ... 0.577971 0.725373 0.633907 \n",
"B152 0.833141 0.768587 0.788806 ... 0.782469 0.775231 0.807622 \n",
"B156 0.789306 0.760944 0.778920 ... 0.779476 0.822979 0.832747 \n",
"B158 0.817218 0.810353 0.755123 ... 0.763503 0.784892 0.779078 \n",
"B164 0.767720 0.822154 0.780600 ... 0.764077 0.828261 0.803160 \n",
"\n",
" B141 B142 B143 B152 B156 B158 B164 \n",
"A3 0.844753 0.892093 0.872410 0.729494 0.710602 0.776464 0.846740 \n",
"A5 0.798595 0.809852 0.770837 0.760614 0.739026 0.751724 0.872313 \n",
"A6 0.740042 0.829521 0.820290 0.670968 0.592602 0.726095 0.710414 \n",
"A9 0.787003 0.729039 0.526528 0.763707 0.784626 0.732034 0.725912 \n",
"A31 0.828214 0.873845 0.654990 0.854744 0.833083 0.792057 0.827921 \n",
"A51 0.831391 0.886960 0.817387 0.760075 0.722492 0.818467 0.835443 \n",
"A52 0.785719 0.807540 0.729933 0.759929 0.814030 0.807573 0.817657 \n",
"A53 0.770985 0.753882 0.562212 0.833141 0.789306 0.817218 0.767720 \n",
"A54 0.827823 0.857961 0.788564 0.768587 0.760944 0.810353 0.822154 \n",
"A59 0.793895 0.807435 0.691925 0.788806 0.778920 0.755123 0.780600 \n",
"A67 0.745159 0.772601 0.722275 0.719152 0.655276 0.624473 0.742600 \n",
"A68 0.807344 0.765965 0.606940 0.839787 0.776379 0.750591 0.814600 \n",
"A69 0.820783 0.830473 0.838137 0.694764 0.709226 0.761948 0.794782 \n",
"A71 0.764739 0.723613 0.572467 0.781353 0.755975 0.709116 0.722155 \n",
"A73 0.795425 0.833333 0.809612 0.705172 0.653177 0.740128 0.835874 \n",
"A76 0.745325 0.752726 0.572677 0.816190 0.772403 0.747716 0.740794 \n",
"A78 0.789111 0.758353 0.595662 0.828608 0.778903 0.816547 0.798801 \n",
"A87 0.764320 0.800311 0.688810 0.800842 0.797801 0.843275 0.725515 \n",
"A89 0.833386 0.864587 0.818128 0.700769 0.689694 0.770213 0.776598 \n",
"A93 0.746055 0.801426 0.853015 0.652431 0.638632 0.807230 0.760226 \n",
"A101 0.785992 0.819440 0.750003 0.690921 0.747663 0.738866 0.807711 \n",
"A109 0.706644 0.759617 0.817131 0.632986 0.605023 0.688951 0.758343 \n",
"A113 0.805952 0.858550 0.672134 0.826948 0.797869 0.827747 0.784259 \n",
"A114 0.743131 0.730448 0.504949 0.781380 0.762809 0.661049 0.717089 \n",
"A115 0.757950 0.808938 0.824665 0.684905 0.640213 0.743281 0.753546 \n",
"A142 0.772719 0.754056 0.573831 0.720045 0.811978 0.694314 0.725499 \n",
"A144 0.733481 0.694316 0.611437 0.745882 0.804702 0.742180 0.713239 \n",
"A149 0.817709 0.813812 0.734995 0.812827 0.792481 0.780015 0.818175 \n",
"A164 0.779290 0.795922 0.613496 0.798159 0.830243 0.761404 0.778194 \n",
"A165 0.733608 0.732835 0.576369 0.759395 0.725574 0.656677 0.767382 \n",
"B1 0.779228 0.785306 0.534240 0.793073 0.794748 0.685382 0.758129 \n",
"B2 0.858234 0.869094 0.871792 0.753158 0.759159 0.867819 0.858453 \n",
"B3 0.837987 0.842500 0.738562 0.819730 0.792065 0.796668 0.768912 \n",
"B5 0.845195 0.844258 0.674836 0.755844 0.821354 0.725258 0.841434 \n",
"B6 0.858328 0.835322 0.725750 0.834188 0.786076 0.775973 0.837432 \n",
"B7 0.766755 0.809997 0.659936 0.841794 0.799962 0.828792 0.782338 \n",
"B8 0.824717 0.840370 0.725873 0.773598 0.791415 0.828448 0.801855 \n",
"B13 0.865376 0.889066 0.771444 0.829164 0.826169 0.834296 0.825926 \n",
"B14 0.758480 0.791697 0.771024 0.660235 0.609490 0.688288 0.721616 \n",
"B28 0.858119 0.861226 0.770973 0.750118 0.724964 0.786566 0.830061 \n",
"B29 0.732658 0.783087 0.846353 0.614275 0.592436 0.746903 0.767645 \n",
"B36 0.787239 0.814726 0.809793 0.698486 0.760823 0.781512 0.795885 \n",
"B37 0.813712 0.856530 0.804358 0.805713 0.762593 0.868970 0.796805 \n",
"B94 0.812684 0.875205 0.812369 0.762303 0.749478 0.761994 0.855909 \n",
"B99 0.760585 0.755299 0.865681 0.623900 0.621141 0.733783 0.787640 \n",
"B103 0.813834 0.802491 0.582542 0.810527 0.796737 0.761255 0.814168 \n",
"B106 0.848298 0.865215 0.839827 0.716206 0.683585 0.781973 0.836816 \n",
"B111 0.779323 0.755945 0.579525 0.809521 0.820546 0.742145 0.728543 \n",
"B114 0.842257 0.870926 0.709662 0.784156 0.823913 0.756762 0.839474 \n",
"B115 0.841382 0.833727 0.806355 0.758861 0.768510 0.791168 0.868899 \n",
"B120 0.781674 0.760629 0.577971 0.782469 0.779476 0.763503 0.764077 \n",
"B127 0.858149 0.819641 0.725373 0.775231 0.822979 0.784892 0.828261 \n",
"B132 0.824123 0.775464 0.633907 0.807622 0.832747 0.779078 0.803160 \n",
"B141 1.000000 0.908495 0.762878 0.803000 0.783652 0.805579 0.854063 \n",
"B142 0.908495 1.000000 0.808427 0.775358 0.772520 0.799381 0.849990 \n",
"B143 0.762878 0.808427 1.000000 0.593957 0.597177 0.728151 0.763850 \n",
"B152 0.803000 0.775358 0.593957 1.000000 0.811647 0.804894 0.807983 \n",
"B156 0.783652 0.772520 0.597177 0.811647 1.000000 0.757452 0.783094 \n",
"B158 0.805579 0.799381 0.728151 0.804894 0.757452 1.000000 0.776253 \n",
"B164 0.854063 0.849990 0.763850 0.807983 0.783094 0.776253 1.000000 \n",
"\n",
"[60 rows x 60 columns]\n"
]
}
],
"source": [
"print(corr_matrix)"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"id": "Pr-ijh0ntIlY",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 542
},
"outputId": "7d50f387-3cb7-4d07-a942-57573491c9e3"
},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/html": [
"<html>\n",
"<head><meta charset=\"utf-8\" /></head>\n",
"<body>\n",
" <div> <script src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\"></script><script type=\"text/javascript\">if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script> <script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\n",
" <script charset=\"utf-8\" src=\"https://cdn.plot.ly/plotly-2.24.1.min.js\"></script> <div id=\"416bf03a-56fc-4310-bd63-14f0d70281c9\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div> <script type=\"text/javascript\"> window.PLOTLYENV=window.PLOTLYENV || {}; if (document.getElementById(\"416bf03a-56fc-4310-bd63-14f0d70281c9\")) { Plotly.newPlot( \"416bf03a-56fc-4310-bd63-14f0d70281c9\", [{\"alignmentgroup\":\"True\",\"hovertemplate\":\"Taxonomy=%{x}\\u003cbr\\u003eA3=%{text}\\u003cextra\\u003e\\u003c\\u002fextra\\u003e\",\"legendgroup\":\"\",\"marker\":{\"color\":\"#636efa\",\"pattern\":{\"shape\":\"\"}},\"name\":\"\",\"offsetgroup\":\"\",\"orientation\":\"v\",\"showlegend\":false,\"text\":[5803.0,4988.0,3793.0,2119.0,2000.0,1915.0,1466.0,1433.0,1416.0,1383.0,1266.0,1203.0,1159.0,1138.0,1024.0,1004.0,999.0,884.0,858.0,847.0,846.0,841.0,814.0,792.0,758.0,724.0,705.0,638.0,630.0,617.0,602.0,581.0,569.0,553.0,549.0,536.0,524.0,523.0,512.0,453.0,424.0,423.0,396.0,382.0,364.0,349.0,336.0,302.0,302.0,300.0],\"textposition\":\"outside\",\"x\":[\"g__Hungatella;s__Hungatella hathewayi\",\"g__Faecalibacterium;s__Faecalibacterium prausnitzii\",\"g__Clostridium;s__uncultured Clostridium sp.\",\"g__Clostridium;s__Clostridium sp. CAG:7\",\"g__Flavonifractor;s__uncultured Flavonifractor sp.\",\"g__Phascolarctobacterium;s__Phascolarctobacterium sp. CAG:207\",\"g__Clostridium;s__Clostridium sp. GD3\",\"g__Clostridium;s__Clostridium sp. CAG:299\",\"g__Akkermansia;s__Akkermansia sp. CAG:344\",\"g__Eubacterium;s__Eubacterium sp. CAG:192\",\"g__Butyricicoccus;s__uncultured Butyricicoccus sp.\",\"g__Escherichia;s__Escherichia coli\",\"g__Bilophila;s__Bilophila wadsworthia\",\"g__Clostridium;s__Clostridium sp. CAG:43\",\"g__Lachnoclostridium;s__[Clostridium] bolteae\",\"g__Odoribacter;s__Odoribacter splanchnicus\",\"g__Bacteroides;s__Bacteroides fragilis\",\"g__Bacteroides;s__Bacteroides thetaiotaomicron\",\"g__Eubacterium;s__Eubacterium sp. CAG:248\",\"g__Parabacteroides;s__Parabacteroides merdae\",\"g__Unclassified;s__[Eubacterium] rectale\",\"g__Ruminococcus;s__uncultured Ruminococcus sp.\",\"g__Clostridium;s__Clostridium sp. AT5\",\"g__Roseburia;s__Roseburia inulinivorans\",\"g__Bacteroides;s__Bacteroides clarus CAG:160\",\"g__Subdoligranulum;s__Subdoligranulum variabile\",\"g__Bacteroides;s__Bacteroides uniformis\",\"g__Alistipes;s__Alistipes putredinis\",\"g__Flavonifractor;s__Flavonifractor plautii\",\"g__Clostridium;s__Clostridium sp. CAG:58\",\"g__Unclassified;s__Clostridia bacterium UC5.1-1D10\",\"g__Bacteroides;s__Bacteroides vulgatus\",\"g__Bacteroides;s__Bacteroides ovatus\",\"g__Fusicatenibacter;s__Fusicatenibacter saccharivorans\",\"g__Alistipes;s__Candidatus Alistipes marseilloanorexicus\",\"g__Clostridium;s__Clostridium sp. CAG:127\",\"g__Oscillibacter;s__Oscillibacter sp. ER4\",\"g__Coprococcus;s__Coprococcus comes\",\"g__Dorea;s__Dorea longicatena\",\"g__Lachnoclostridium;s__[Clostridium] asparagiforme\",\"g__Blautia;s__[Ruminococcus] gnavus\",\"g__Faecalibacterium;s__uncultured Faecalibacterium sp.\",\"g__Unclassified;s__Firmicutes bacterium CAG:83\",\"g__Bacteroides;s__Bacteroides coprocola\",\"g__Bacteroides;s__Bacteroides xylanisolvens\",\"g__Roseburia;s__Roseburia hominis\",\"g__Coprobacillus;s__Coprobacillus sp. CAG:235\",\"g__Parabacteroides;s__Parabacteroides distasonis\",\"g__Unclassified;s__butyrate-producing bacterium SS3_4\",\"g__Bacteroides;s__Bacteroides coprocola CAG:162\"],\"xaxis\":\"x\",\"y\":[5803,4988,3793,2119,2000,1915,1466,1433,1416,1383,1266,1203,1159,1138,1024,1004,999,884,858,847,846,841,814,792,758,724,705,638,630,617,602,581,569,553,549,536,524,523,512,453,424,423,396,382,364,349,336,302,302,300],\"yaxis\":\"y\",\"type\":\"bar\",\"texttemplate\":\"%{text:.2s}\"}], {\"template\":{\"data\":{\"histogram2dcontour\":[{\"type\":\"histogram2dcontour\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"choropleth\":[{\"type\":\"choropleth\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"histogram2d\":[{\"type\":\"histogram2d\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"heatmap\":[{\"type\":\"heatmap\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"heatmapgl\":[{\"type\":\"heatmapgl\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"contourcarpet\":[{\"type\":\"contourcarpet\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"contour\":[{\"type\":\"contour\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"surface\":[{\"type\":\"surface\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"mesh3d\":[{\"type\":\"mesh3d\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"scatter\":[{\"fillpattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2},\"type\":\"scatter\"}],\"parcoords\":[{\"type\":\"parcoords\",\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterpolargl\":[{\"type\":\"scatterpolargl\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"scattergeo\":[{\"type\":\"scattergeo\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterpolar\":[{\"type\":\"scatterpolar\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"scattergl\":[{\"type\":\"scattergl\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatter3d\":[{\"type\":\"scatter3d\",\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scattermapbox\":[{\"type\":\"scattermapbox\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterternary\":[{\"type\":\"scatterternary\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scattercarpet\":[{\"type\":\"scattercarpet\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}]},\"layout\":{\"autotypenumbers\":\"strict\",\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"hovermode\":\"closest\",\"hoverlabel\":{\"align\":\"left\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"bgcolor\":\"#E5ECF6\",\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"ternary\":{\"bgcolor\":\"#E5ECF6\",\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]]},\"xaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"automargin\":true,\"zerolinewidth\":2},\"yaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"automargin\":true,\"zerolinewidth\":2},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"geo\":{\"bgcolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"subunitcolor\":\"white\",\"showland\":true,\"showlakes\":true,\"lakecolor\":\"white\"},\"title\":{\"x\":0.05},\"mapbox\":{\"style\":\"light\"}}},\"xaxis\":{\"anchor\":\"y\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"Bacteria\"},\"tickangle\":-45},\"yaxis\":{\"anchor\":\"x\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"Abundance\"}},\"legend\":{\"tracegroupgap\":0},\"title\":{\"text\":\"Top 50 Bacteria Abundance in A3\"},\"barmode\":\"relative\"}, {\"responsive\": true} ).then(function(){\n",
" \n",
"var gd = document.getElementById('416bf03a-56fc-4310-bd63-14f0d70281c9');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
" console.log([gd, 'removed!']);\n",
" Plotly.purge(gd);\n",
" observer.disconnect();\n",
" }}\n",
"}});\n",
"\n",
"// Listen for the removal of the full notebook cells\n",
"var notebookContainer = gd.closest('#notebook-container');\n",
"if (notebookContainer) {{\n",
" x.observe(notebookContainer, {childList: true});\n",
"}}\n",
"\n",
"// Listen for the clearing of the current output cell\n",
"var outputEl = gd.closest('.output');\n",
"if (outputEl) {{\n",
" x.observe(outputEl, {childList: true});\n",
"}}\n",
"\n",
" }) }; </script> </div>\n",
"</body>\n",
"</html>"
]
},
"metadata": {}
}
],
"source": [
"####### Abundance Analysis\n",
"#### Live Chart\n",
"import plotly.express as px\n",
"N = 50 # vlue can be adjusted base on number you want to see\n",
"A3 = ASD_meta.sort_values(by='A3', ascending=False).head(N)\n",
"\n",
"# Create an interactive bar chart using Plotly\n",
"fig1 = px.bar(A3, x='Taxonomy', y='A3', text='A3', title='Top {} Bacteria Abundance in A3'.format(N))\n",
"fig1.update_traces(texttemplate='%{text:.2s}', textposition='outside')\n",
"fig1.update_layout(xaxis_title='Bacteria', yaxis_title='Abundance', xaxis_tickangle=-45)\n",
"fig1.show()\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"id": "nUZntJESMVEm"
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"id": "JRMp_z5uLodd",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 696
},
"outputId": "6146dbe5-7576-400f-efa3-c8997aab23d6"
},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 2000x800 with 1 Axes>"
],
"image/png": "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\n"
},
"metadata": {}
}
],
"source": [
"#############Static chart\n",
"N = 50 # value can be adjusted based on the number you want to see\n",
"A3 = ASD_meta.sort_values(by='A3', ascending=False).head(N)\n",
"\n",
"plt.figure(figsize=(20, 8))\n",
"bars = plt.bar(A3['Taxonomy'], A3['A3'])\n",
"plt.title('Top {} Bacteria Abundance in A3'.format(N))\n",
"plt.xlabel('Bacteria')\n",
"plt.ylabel('Abundance')\n",
"plt.xticks(rotation=90, ha='right')\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"id": "HfkBAq_L5Xmf",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 542
},
"outputId": "31adaa41-6dd7-47fe-dbb8-09e0b4e888be"
},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/html": [
"<html>\n",
"<head><meta charset=\"utf-8\" /></head>\n",
"<body>\n",
" <div> <script src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\"></script><script type=\"text/javascript\">if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script> <script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\n",
" <script charset=\"utf-8\" src=\"https://cdn.plot.ly/plotly-2.24.1.min.js\"></script> <div id=\"0769d28f-1ebd-4ff9-9a99-af4af024d2c9\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div> <script type=\"text/javascript\"> window.PLOTLYENV=window.PLOTLYENV || {}; if (document.getElementById(\"0769d28f-1ebd-4ff9-9a99-af4af024d2c9\")) { Plotly.newPlot( \"0769d28f-1ebd-4ff9-9a99-af4af024d2c9\", [{\"alignmentgroup\":\"True\",\"hovertemplate\":\"Taxonomy=%{x}\\u003cbr\\u003eA5=%{text}\\u003cextra\\u003e\\u003c\\u002fextra\\u003e\",\"legendgroup\":\"\",\"marker\":{\"color\":\"#636efa\",\"pattern\":{\"shape\":\"\"}},\"name\":\"\",\"offsetgroup\":\"\",\"orientation\":\"v\",\"showlegend\":false,\"text\":[5612.0,5060.0,2795.0,1230.0,444.0,1871.0,1412.0,406.0,10.0,11.0,1682.0,1147.0,1030.0,1044.0,997.0,716.0,1028.0,604.0,947.0,323.0,965.0,903.0,250.0,1037.0,14.0,1712.0,505.0,375.0,607.0,480.0,528.0,800.0,439.0,425.0,18.0,9.0,2018.0,620.0,571.0,691.0,427.0,510.0,431.0,27.0,145.0,242.0,0.0,326.0,278.0,5.0],\"textposition\":\"outside\",\"x\":[\"g__Hungatella;s__Hungatella hathewayi\",\"g__Faecalibacterium;s__Faecalibacterium prausnitzii\",\"g__Clostridium;s__uncultured Clostridium sp.\",\"g__Clostridium;s__Clostridium sp. CAG:7\",\"g__Flavonifractor;s__uncultured Flavonifractor sp.\",\"g__Phascolarctobacterium;s__Phascolarctobacterium sp. CAG:207\",\"g__Clostridium;s__Clostridium sp. GD3\",\"g__Clostridium;s__Clostridium sp. CAG:299\",\"g__Akkermansia;s__Akkermansia sp. CAG:344\",\"g__Eubacterium;s__Eubacterium sp. CAG:192\",\"g__Butyricicoccus;s__uncultured Butyricicoccus sp.\",\"g__Escherichia;s__Escherichia coli\",\"g__Bilophila;s__Bilophila wadsworthia\",\"g__Clostridium;s__Clostridium sp. CAG:43\",\"g__Lachnoclostridium;s__[Clostridium] bolteae\",\"g__Odoribacter;s__Odoribacter splanchnicus\",\"g__Bacteroides;s__Bacteroides fragilis\",\"g__Bacteroides;s__Bacteroides thetaiotaomicron\",\"g__Eubacterium;s__Eubacterium sp. CAG:248\",\"g__Parabacteroides;s__Parabacteroides merdae\",\"g__Unclassified;s__[Eubacterium] rectale\",\"g__Ruminococcus;s__uncultured Ruminococcus sp.\",\"g__Clostridium;s__Clostridium sp. AT5\",\"g__Roseburia;s__Roseburia inulinivorans\",\"g__Bacteroides;s__Bacteroides clarus CAG:160\",\"g__Subdoligranulum;s__Subdoligranulum variabile\",\"g__Bacteroides;s__Bacteroides uniformis\",\"g__Alistipes;s__Alistipes putredinis\",\"g__Flavonifractor;s__Flavonifractor plautii\",\"g__Clostridium;s__Clostridium sp. CAG:58\",\"g__Unclassified;s__Clostridia bacterium UC5.1-1D10\",\"g__Bacteroides;s__Bacteroides vulgatus\",\"g__Bacteroides;s__Bacteroides ovatus\",\"g__Fusicatenibacter;s__Fusicatenibacter saccharivorans\",\"g__Alistipes;s__Candidatus Alistipes marseilloanorexicus\",\"g__Clostridium;s__Clostridium sp. CAG:127\",\"g__Oscillibacter;s__Oscillibacter sp. ER4\",\"g__Coprococcus;s__Coprococcus comes\",\"g__Dorea;s__Dorea longicatena\",\"g__Lachnoclostridium;s__[Clostridium] asparagiforme\",\"g__Blautia;s__[Ruminococcus] gnavus\",\"g__Faecalibacterium;s__uncultured Faecalibacterium sp.\",\"g__Unclassified;s__Firmicutes bacterium CAG:83\",\"g__Bacteroides;s__Bacteroides coprocola\",\"g__Bacteroides;s__Bacteroides xylanisolvens\",\"g__Roseburia;s__Roseburia hominis\",\"g__Coprobacillus;s__Coprobacillus sp. CAG:235\",\"g__Parabacteroides;s__Parabacteroides distasonis\",\"g__Unclassified;s__butyrate-producing bacterium SS3_4\",\"g__Bacteroides;s__Bacteroides coprocola CAG:162\"],\"xaxis\":\"x\",\"y\":[5612,5060,2795,1230,444,1871,1412,406,10,11,1682,1147,1030,1044,997,716,1028,604,947,323,965,903,250,1037,14,1712,505,375,607,480,528,800,439,425,18,9,2018,620,571,691,427,510,431,27,145,242,0,326,278,5],\"yaxis\":\"y\",\"type\":\"bar\",\"texttemplate\":\"%{text:.2s}\"}], {\"template\":{\"data\":{\"histogram2dcontour\":[{\"type\":\"histogram2dcontour\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"choropleth\":[{\"type\":\"choropleth\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"histogram2d\":[{\"type\":\"histogram2d\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"heatmap\":[{\"type\":\"heatmap\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"heatmapgl\":[{\"type\":\"heatmapgl\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"contourcarpet\":[{\"type\":\"contourcarpet\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"contour\":[{\"type\":\"contour\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"surface\":[{\"type\":\"surface\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"mesh3d\":[{\"type\":\"mesh3d\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"scatter\":[{\"fillpattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2},\"type\":\"scatter\"}],\"parcoords\":[{\"type\":\"parcoords\",\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterpolargl\":[{\"type\":\"scatterpolargl\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"scattergeo\":[{\"type\":\"scattergeo\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterpolar\":[{\"type\":\"scatterpolar\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"scattergl\":[{\"type\":\"scattergl\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatter3d\":[{\"type\":\"scatter3d\",\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scattermapbox\":[{\"type\":\"scattermapbox\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterternary\":[{\"type\":\"scatterternary\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scattercarpet\":[{\"type\":\"scattercarpet\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}]},\"layout\":{\"autotypenumbers\":\"strict\",\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"hovermode\":\"closest\",\"hoverlabel\":{\"align\":\"left\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"bgcolor\":\"#E5ECF6\",\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"ternary\":{\"bgcolor\":\"#E5ECF6\",\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]]},\"xaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"automargin\":true,\"zerolinewidth\":2},\"yaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"automargin\":true,\"zerolinewidth\":2},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"geo\":{\"bgcolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"subunitcolor\":\"white\",\"showland\":true,\"showlakes\":true,\"lakecolor\":\"white\"},\"title\":{\"x\":0.05},\"mapbox\":{\"style\":\"light\"}}},\"xaxis\":{\"anchor\":\"y\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"Bacteria\"},\"tickangle\":-45},\"yaxis\":{\"anchor\":\"x\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"Abundance\"}},\"legend\":{\"tracegroupgap\":0},\"title\":{\"text\":\"Top 50 Bacteria Abundance in A\"},\"barmode\":\"relative\"}, {\"responsive\": true} ).then(function(){\n",
" \n",
"var gd = document.getElementById('0769d28f-1ebd-4ff9-9a99-af4af024d2c9');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
" console.log([gd, 'removed!']);\n",
" Plotly.purge(gd);\n",
" observer.disconnect();\n",
" }}\n",
"}});\n",
"\n",
"// Listen for the removal of the full notebook cells\n",
"var notebookContainer = gd.closest('#notebook-container');\n",
"if (notebookContainer) {{\n",
" x.observe(notebookContainer, {childList: true});\n",
"}}\n",
"\n",
"// Listen for the clearing of the current output cell\n",
"var outputEl = gd.closest('.output');\n",
"if (outputEl) {{\n",
" x.observe(outputEl, {childList: true});\n",
"}}\n",
"\n",
" }) }; </script> </div>\n",
"</body>\n",
"</html>"
]
},
"metadata": {}
}
],
"source": [
"#Life chart\n",
"N1 = 50 ######\n",
"A5 = ASD_meta.sort_values(by='A3', ascending=False).head(N1)\n",
"\n",
"#### plotely\n",
"fig2 = px.bar(A5, x='Taxonomy', y='A5', text='A5', title='Top {} Bacteria Abundance in A'.format(N1))\n",
"fig2.update_traces(texttemplate='%{text:.2s}', textposition='outside')\n",
"fig2.update_layout(xaxis_title='Bacteria', yaxis_title='Abundance', xaxis_tickangle=-45)\n",
"fig2.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"id": "3-UTx3imPzSP",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 696
},
"outputId": "46afecb1-5b44-4ab3-81d5-c15957f0053d"
},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 2000x800 with 1 Axes>"
],
"image/png": "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\n"
},
"metadata": {}
}
],
"source": [
"####Static chart\n",
"N1 = 50 ######\n",
"A5 = ASD_meta.sort_values(by='A3', ascending= False).head(N1)\n",
"plt.figure(figsize=(20, 8))\n",
"plt.bar(A5['Taxonomy'], A5['A5'] )\n",
"plt.title('Top {} Bacteria Abundance in A5'.format(N))\n",
"plt.xlabel('Bacteria')\n",
"plt.ylabel('Abundance')\n",
"plt.xticks(rotation=90, ha='right')\n",
"plt.tight_layout()\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"id": "Uz_4wgMmRWPS",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 542
},
"outputId": "e929ff24-597f-4ed1-fd54-909dca409d1b"
},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/html": [
"<html>\n",
"<head><meta charset=\"utf-8\" /></head>\n",
"<body>\n",
" <div> <script src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\"></script><script type=\"text/javascript\">if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script> <script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\n",
" <script charset=\"utf-8\" src=\"https://cdn.plot.ly/plotly-2.24.1.min.js\"></script> <div id=\"93ea20b9-7082-48f0-9e1a-69f7dc38fe8a\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div> <script type=\"text/javascript\"> window.PLOTLYENV=window.PLOTLYENV || {}; if (document.getElementById(\"93ea20b9-7082-48f0-9e1a-69f7dc38fe8a\")) { Plotly.newPlot( \"93ea20b9-7082-48f0-9e1a-69f7dc38fe8a\", [{\"alignmentgroup\":\"True\",\"hovertemplate\":\"Taxonomy=%{x}\\u003cbr\\u003eTotalAbundance=%{text}\\u003cextra\\u003e\\u003c\\u002fextra\\u003e\",\"legendgroup\":\"\",\"marker\":{\"color\":\"#636efa\",\"pattern\":{\"shape\":\"\"}},\"name\":\"\",\"offsetgroup\":\"\",\"orientation\":\"v\",\"showlegend\":false,\"text\":[287814.0,227592.0,214518.0,97486.0,87012.0,79710.0,70320.0,68311.0,64697.0,63866.0,63134.0,57406.0,57383.0,56781.0,53318.0,49279.0,48151.0,48018.0,46571.0,46106.0,42641.0,41525.0,39451.0,37937.0,37606.0,36624.0,36441.0,35909.0,35713.0,33953.0,33910.0,33853.0,32486.0,32266.0,31724.0,30937.0,30210.0,29836.0,29690.0,28925.0,28922.0,28212.0,27454.0,27163.0,26491.0,26282.0,26170.0,25496.0,25059.0,24996.0],\"textposition\":\"outside\",\"x\":[\"g__Faecalibacterium;s__Faecalibacterium prausnitzii\",\"g__Clostridium;s__uncultured Clostridium sp.\",\"g__Hungatella;s__Hungatella hathewayi\",\"g__Clostridium;s__Clostridium sp. CAG:7\",\"g__Butyricicoccus;s__uncultured Butyricicoccus sp.\",\"g__Phascolarctobacterium;s__Phascolarctobacterium sp. CAG:207\",\"g__Flavonifractor;s__uncultured Flavonifractor sp.\",\"g__Subdoligranulum;s__Subdoligranulum variabile\",\"g__Clostridium;s__Clostridium sp. GD3\",\"g__Lachnoclostridium;s__[Clostridium] asparagiforme\",\"g__Eubacterium;s__Eubacterium sp. CAG:38\",\"g__Alistipes;s__Alistipes indistinctus\",\"g__Lachnoclostridium;s__[Clostridium] bolteae\",\"g__Clostridium;s__Clostridium sp. CAG:43\",\"g__Ruminococcus;s__uncultured Ruminococcus sp.\",\"g__Bilophila;s__Bilophila wadsworthia\",\"g__Eubacterium;s__[Eubacterium] eligens\",\"g__Bacteroides;s__Bacteroides fragilis\",\"g__Oscillibacter;s__Oscillibacter sp. ER4\",\"g__Roseburia;s__Roseburia inulinivorans\",\"g__Unclassified;s__[Eubacterium] rectale\",\"g__Bacteroides;s__Bacteroides thetaiotaomicron\",\"g__Bacteroides;s__Bacteroides vulgatus\",\"g__Eubacterium;s__Eubacterium ventriosum\",\"g__Bacteroides;s__Bacteroides uniformis\",\"g__Escherichia;s__Escherichia coli\",\"g__Bacteroides;s__Bacteroides ovatus\",\"g__Ruminococcus;s__Ruminococcus lactaris\",\"g__Clostridium;s__Clostridium sp. CAG:58\",\"g__Alistipes;s__Alistipes putredinis\",\"g__Flavonifractor;s__Flavonifractor plautii\",\"g__Unclassified;s__Firmicutes bacterium CAG:124\",\"g__Ruminococcus;s__Ruminococcus callidus\",\"g__Clostridium;s__Clostridium sp. CAG:127\",\"g__Odoribacter;s__Odoribacter splanchnicus\",\"g__Faecalibacterium;s__uncultured Faecalibacterium sp.\",\"g__Roseburia;s__Roseburia intestinalis\",\"g__Clostridium;s__Clostridium sp. CAG:75\",\"g__Clostridium;s__Clostridium sp. CAG:299\",\"g__Fusicatenibacter;s__Fusicatenibacter saccharivorans\",\"g__Eubacterium;s__Eubacterium sp. CAG:192\",\"g__Blautia;s__[Ruminococcus] torques\",\"g__Butyricimonas;s__Butyricimonas virosa\",\"g__Eubacterium;s__Eubacterium sp. CAG:202\",\"g__Faecalibacterium;s__Faecalibacterium sp. CAG:82\",\"g__Unclassified;s__Firmicutes bacterium CAG:103\",\"g__Parabacteroides;s__Parabacteroides merdae\",\"g__Roseburia;s__Roseburia faecis\",\"g__Roseburia;s__Roseburia hominis\",\"g__Prevotella;s__Prevotella copri\"],\"xaxis\":\"x\",\"y\":[287814,227592,214518,97486,87012,79710,70320,68311,64697,63866,63134,57406,57383,56781,53318,49279,48151,48018,46571,46106,42641,41525,39451,37937,37606,36624,36441,35909,35713,33953,33910,33853,32486,32266,31724,30937,30210,29836,29690,28925,28922,28212,27454,27163,26491,26282,26170,25496,25059,24996],\"yaxis\":\"y\",\"type\":\"bar\",\"texttemplate\":\"%{text:.2s}\"}], {\"template\":{\"data\":{\"histogram2dcontour\":[{\"type\":\"histogram2dcontour\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"choropleth\":[{\"type\":\"choropleth\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"histogram2d\":[{\"type\":\"histogram2d\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"heatmap\":[{\"type\":\"heatmap\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"heatmapgl\":[{\"type\":\"heatmapgl\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"contourcarpet\":[{\"type\":\"contourcarpet\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"contour\":[{\"type\":\"contour\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"surface\":[{\"type\":\"surface\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"mesh3d\":[{\"type\":\"mesh3d\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"scatter\":[{\"fillpattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2},\"type\":\"scatter\"}],\"parcoords\":[{\"type\":\"parcoords\",\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterpolargl\":[{\"type\":\"scatterpolargl\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"scattergeo\":[{\"type\":\"scattergeo\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterpolar\":[{\"type\":\"scatterpolar\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"scattergl\":[{\"type\":\"scattergl\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatter3d\":[{\"type\":\"scatter3d\",\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scattermapbox\":[{\"type\":\"scattermapbox\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterternary\":[{\"type\":\"scatterternary\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scattercarpet\":[{\"type\":\"scattercarpet\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}]},\"layout\":{\"autotypenumbers\":\"strict\",\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"hovermode\":\"closest\",\"hoverlabel\":{\"align\":\"left\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"bgcolor\":\"#E5ECF6\",\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"ternary\":{\"bgcolor\":\"#E5ECF6\",\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]]},\"xaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"automargin\":true,\"zerolinewidth\":2},\"yaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"automargin\":true,\"zerolinewidth\":2},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"geo\":{\"bgcolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"subunitcolor\":\"white\",\"showland\":true,\"showlakes\":true,\"lakecolor\":\"white\"},\"title\":{\"x\":0.05},\"mapbox\":{\"style\":\"light\"}}},\"xaxis\":{\"anchor\":\"y\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"Bacteria\"},\"tickangle\":-45},\"yaxis\":{\"anchor\":\"x\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"Total Abundance\"}},\"legend\":{\"tracegroupgap\":0},\"title\":{\"text\":\"Top 20 Most Abundant Bacteria Across All Individuals\"},\"barmode\":\"relative\"}, {\"responsive\": true} ).then(function(){\n",
" \n",
"var gd = document.getElementById('93ea20b9-7082-48f0-9e1a-69f7dc38fe8a');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
" console.log([gd, 'removed!']);\n",
" Plotly.purge(gd);\n",
" observer.disconnect();\n",
" }}\n",
"}});\n",
"\n",
"// Listen for the removal of the full notebook cells\n",
"var notebookContainer = gd.closest('#notebook-container');\n",
"if (notebookContainer) {{\n",
" x.observe(notebookContainer, {childList: true});\n",
"}}\n",
"\n",
"// Listen for the clearing of the current output cell\n",
"var outputEl = gd.closest('.output');\n",
"if (outputEl) {{\n",
" x.observe(outputEl, {childList: true});\n",
"}}\n",
"\n",
" }) }; </script> </div>\n",
"</body>\n",
"</html>"
]
},
"metadata": {}
}
],
"source": [
"individual_columns = ['A3', 'A5', 'A6', 'A9', 'A31', 'A51', 'A52', 'A53', 'A54',\n",
" 'A59', 'A67', 'A68', 'A69', 'A71', 'A73', 'A76', 'A78', 'A87', 'A89',\n",
" 'A93', 'A101', 'A109', 'A113', 'A114', 'A115', 'A142', 'A144', 'A149',\n",
" 'A164', 'A165', 'B1', 'B2', 'B3', 'B5', 'B6', 'B7', 'B8', 'B13', 'B14',\n",
" 'B28', 'B29', 'B36', 'B37', 'B94', 'B99', 'B103', 'B106', 'B111',\n",
" 'B114', 'B115', 'B120', 'B127', 'B132', 'B141', 'B142', 'B143', 'B152',\n",
" 'B156', 'B158', 'B164']\n",
"\n",
"# Summing the abundance across all individuals for each bacterium\n",
"ASD_meta['TotalAbundance'] = ASD_meta[individual_columns].sum(axis=1)\n",
"\n",
"# Selecting the top 20 most abundant bacteria\n",
"df_top_50 = ASD_meta.nlargest(50, 'TotalAbundance')\n",
"\n",
"# Create an interactive bar chart using Plotly\n",
"fig3 = px.bar(df_top_50, x='Taxonomy', y='TotalAbundance', text='TotalAbundance',\n",
" title='Top 20 Most Abundant Bacteria Across All Individuals')\n",
"fig3.update_traces(texttemplate='%{text:.2s}', textposition='outside')\n",
"fig3.update_layout(xaxis_title='Bacteria', yaxis_title='Total Abundance', xaxis_tickangle=-45, )\n",
"fig3.show()"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"id": "60g9k8-vT6Ho",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 634
},
"outputId": "c9bdd5cf-bc6e-4a5f-9f27-3c3e330c28cf"
},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 2200x800 with 1 Axes>"
],
"image/png": "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\n"
},
"metadata": {}
}
],
"source": [
"##### Static chart\n",
"plt.figure(figsize=(22, 8))\n",
"plt.bar(df_top_50['Taxonomy'], df_top_50['TotalAbundance'])\n",
"\n",
"# Rotate x-axis labels for better readability\n",
"plt.xticks(rotation=90, ha='right')\n",
"\n",
"# Set plot labels and title\n",
"plt.xlabel('Bacteria')\n",
"plt.ylabel('Total Abundance')\n",
"plt.title('Top 20 Most Abundant Bacteria Across All Individuals')\n",
"\n",
"# Display the plot\n",
"plt.tight_layout()\n",
"plt.show()\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "TWmgI1ATA5m9"
},
"source": [
"Bacterial abundance for each group"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"id": "rqIib9B6EGGW",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 542
},
"outputId": "6f1d98f6-8f2d-4f91-cee6-f6883a87051a"
},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/html": [
"<html>\n",
"<head><meta charset=\"utf-8\" /></head>\n",
"<body>\n",
" <div> <script src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\"></script><script type=\"text/javascript\">if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script> <script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\n",
" <script charset=\"utf-8\" src=\"https://cdn.plot.ly/plotly-2.24.1.min.js\"></script> <div id=\"660d8b52-9562-4200-8321-e42cc4fc17ee\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div> <script type=\"text/javascript\"> window.PLOTLYENV=window.PLOTLYENV || {}; if (document.getElementById(\"660d8b52-9562-4200-8321-e42cc4fc17ee\")) { Plotly.newPlot( \"660d8b52-9562-4200-8321-e42cc4fc17ee\", [{\"alignmentgroup\":\"True\",\"hovertemplate\":\"Taxonomy=%{x}\\u003cbr\\u003eTotalAbundance1=%{text}\\u003cextra\\u003e\\u003c\\u002fextra\\u003e\",\"legendgroup\":\"\",\"marker\":{\"color\":\"#636efa\",\"pattern\":{\"shape\":\"\"}},\"name\":\"\",\"offsetgroup\":\"\",\"orientation\":\"v\",\"showlegend\":false,\"text\":[139530.0,116323.0,112922.0,49148.0,46417.0,36530.0,35155.0,33654.0,32733.0,32231.0,30897.0,30480.0,28958.0,28945.0,27592.0,23367.0,22849.0,22101.0,21292.0,21018.0,20976.0,20484.0,20014.0,18570.0,18421.0,18113.0,17553.0,17246.0,17159.0,16578.0,16403.0,15816.0,15569.0,15431.0,15248.0,15135.0,14830.0,14742.0,14560.0,14101.0,13962.0,13775.0,13403.0,13321.0,13315.0,13285.0,12694.0,12596.0,12406.0,11929.0],\"textposition\":\"outside\",\"x\":[\"g__Faecalibacterium;s__Faecalibacterium prausnitzii\",\"g__Clostridium;s__uncultured Clostridium sp.\",\"g__Hungatella;s__Hungatella hathewayi\",\"g__Clostridium;s__Clostridium sp. CAG:7\",\"g__Butyricicoccus;s__uncultured Butyricicoccus sp.\",\"g__Flavonifractor;s__uncultured Flavonifractor sp.\",\"g__Subdoligranulum;s__Subdoligranulum variabile\",\"g__Lachnoclostridium;s__[Clostridium] asparagiforme\",\"g__Clostridium;s__Clostridium sp. GD3\",\"g__Eubacterium;s__Eubacterium sp. CAG:38\",\"g__Phascolarctobacterium;s__Phascolarctobacterium sp. CAG:207\",\"g__Alistipes;s__Alistipes indistinctus\",\"g__Lachnoclostridium;s__[Clostridium] bolteae\",\"g__Clostridium;s__Clostridium sp. CAG:43\",\"g__Ruminococcus;s__uncultured Ruminococcus sp.\",\"g__Bilophila;s__Bilophila wadsworthia\",\"g__Eubacterium;s__[Eubacterium] eligens\",\"g__Bacteroides;s__Bacteroides fragilis\",\"g__Ruminococcus;s__Ruminococcus lactaris\",\"g__Escherichia;s__Escherichia coli\",\"g__Oscillibacter;s__Oscillibacter sp. ER4\",\"g__Unclassified;s__[Eubacterium] rectale\",\"g__Roseburia;s__Roseburia inulinivorans\",\"g__Eubacterium;s__Eubacterium ventriosum\",\"g__Bacteroides;s__Bacteroides thetaiotaomicron\",\"g__Clostridium;s__Clostridium sp. CAG:58\",\"g__Clostridium;s__Clostridium sp. CAG:127\",\"g__Unclassified;s__Firmicutes bacterium CAG:124\",\"g__Bacteroides;s__Bacteroides vulgatus\",\"g__Flavonifractor;s__Flavonifractor plautii\",\"g__Bacteroides;s__Bacteroides ovatus\",\"g__Roseburia;s__Roseburia intestinalis\",\"g__Fusicatenibacter;s__Fusicatenibacter saccharivorans\",\"g__Alistipes;s__Alistipes putredinis\",\"g__Faecalibacterium;s__uncultured Faecalibacterium sp.\",\"g__Bacteroides;s__Bacteroides uniformis\",\"g__Eubacterium;s__Eubacterium sp. CAG:156\",\"g__Clostridium;s__Clostridium sp. CAG:62\",\"g__Clostridium;s__Clostridium sp. CAG:75\",\"g__Faecalibacterium;s__Faecalibacterium sp. CAG:82\",\"g__Unclassified;s__Firmicutes bacterium CAG:103\",\"g__Eubacterium;s__Eubacterium sp. CAG:192\",\"g__Blautia;s__[Ruminococcus] torques\",\"g__Odoribacter;s__Odoribacter splanchnicus\",\"g__Roseburia;s__Roseburia hominis\",\"g__Ruminococcus;s__Ruminococcus callidus\",\"g__Faecalibacterium;s__Faecalibacterium sp. CAG:74\",\"g__Unclassified;s__Firmicutes bacterium CAG:83\",\"g__Roseburia;s__Roseburia faecis\",\"g__Eubacterium;s__Eubacterium sp. CAG:86\"],\"xaxis\":\"x\",\"y\":[139530,116323,112922,49148,46417,36530,35155,33654,32733,32231,30897,30480,28958,28945,27592,23367,22849,22101,21292,21018,20976,20484,20014,18570,18421,18113,17553,17246,17159,16578,16403,15816,15569,15431,15248,15135,14830,14742,14560,14101,13962,13775,13403,13321,13315,13285,12694,12596,12406,11929],\"yaxis\":\"y\",\"type\":\"bar\",\"texttemplate\":\"%{text:.2s}\"}], {\"template\":{\"data\":{\"histogram2dcontour\":[{\"type\":\"histogram2dcontour\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"choropleth\":[{\"type\":\"choropleth\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"histogram2d\":[{\"type\":\"histogram2d\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"heatmap\":[{\"type\":\"heatmap\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"heatmapgl\":[{\"type\":\"heatmapgl\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"contourcarpet\":[{\"type\":\"contourcarpet\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"contour\":[{\"type\":\"contour\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"surface\":[{\"type\":\"surface\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"mesh3d\":[{\"type\":\"mesh3d\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"scatter\":[{\"fillpattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2},\"type\":\"scatter\"}],\"parcoords\":[{\"type\":\"parcoords\",\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterpolargl\":[{\"type\":\"scatterpolargl\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"scattergeo\":[{\"type\":\"scattergeo\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterpolar\":[{\"type\":\"scatterpolar\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"scattergl\":[{\"type\":\"scattergl\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatter3d\":[{\"type\":\"scatter3d\",\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scattermapbox\":[{\"type\":\"scattermapbox\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterternary\":[{\"type\":\"scatterternary\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scattercarpet\":[{\"type\":\"scattercarpet\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}]},\"layout\":{\"autotypenumbers\":\"strict\",\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"hovermode\":\"closest\",\"hoverlabel\":{\"align\":\"left\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"bgcolor\":\"#E5ECF6\",\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"ternary\":{\"bgcolor\":\"#E5ECF6\",\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]]},\"xaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"automargin\":true,\"zerolinewidth\":2},\"yaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"automargin\":true,\"zerolinewidth\":2},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"geo\":{\"bgcolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"subunitcolor\":\"white\",\"showland\":true,\"showlakes\":true,\"lakecolor\":\"white\"},\"title\":{\"x\":0.05},\"mapbox\":{\"style\":\"light\"}}},\"xaxis\":{\"anchor\":\"y\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"Bacteria\"},\"tickangle\":-45},\"yaxis\":{\"anchor\":\"x\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"Total Abundance1\"}},\"legend\":{\"tracegroupgap\":0},\"title\":{\"text\":\"Top 50 Most Abundant Bacteria Among ASD children\"},\"barmode\":\"relative\"}, {\"responsive\": true} ).then(function(){\n",
" \n",
"var gd = document.getElementById('660d8b52-9562-4200-8321-e42cc4fc17ee');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
" console.log([gd, 'removed!']);\n",
" Plotly.purge(gd);\n",
" observer.disconnect();\n",
" }}\n",
"}});\n",
"\n",
"// Listen for the removal of the full notebook cells\n",
"var notebookContainer = gd.closest('#notebook-container');\n",
"if (notebookContainer) {{\n",
" x.observe(notebookContainer, {childList: true});\n",
"}}\n",
"\n",
"// Listen for the clearing of the current output cell\n",
"var outputEl = gd.closest('.output');\n",
"if (outputEl) {{\n",
" x.observe(outputEl, {childList: true});\n",
"}}\n",
"\n",
" }) }; </script> </div>\n",
"</body>\n",
"</html>"
]
},
"metadata": {}
}
],
"source": [
"ASD_individual_columns = ['B1', 'B2', 'B3', 'B5', 'B6', 'B7', 'B8', 'B13', 'B14',\n",
" 'B28', 'B29', 'B36', 'B37', 'B94', 'B99', 'B103', 'B106', 'B111',\n",
" 'B114', 'B115', 'B120', 'B127', 'B132', 'B141', 'B142', 'B143', 'B152',\n",
" 'B156', 'B158', 'B164']\n",
"######Live chart\n",
"# Summing the abundance across all individuals for each bacterium\n",
"ASD_meta['TotalAbundance1'] = ASD_meta[ASD_individual_columns].sum(axis=1)\n",
"\n",
"# Selecting the top 20 most abundant bacteria\n",
"ASD_top_50 = ASD_meta.nlargest(50, 'TotalAbundance1')\n",
"\n",
"# Create an interactive bar chart using Plotly\n",
"fig4 = px.bar(ASD_top_50, x='Taxonomy', y='TotalAbundance1', text='TotalAbundance1',\n",
" title='Top 50 Most Abundant Bacteria Among ASD children')\n",
"fig4.update_traces(texttemplate='%{text:.2s}', textposition='outside')\n",
"fig4.update_layout(xaxis_title='Bacteria', yaxis_title='Total Abundance1', xaxis_tickangle=-45)\n",
"fig4.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"id": "soUI5Mw8YmeX",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 956
},
"outputId": "c0568759-2f6a-4bba-a279-fc1fa0212078"
},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 2200x600 with 1 Axes>"
],
"image/png": "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\n"
},
"metadata": {}
}
],
"source": [
"######static chart\n",
"plt.figure(figsize=(22, 6))\n",
"plt.bar(ASD_top_50['Taxonomy'], ASD_top_50['TotalAbundance1'])\n",
"plt.xticks(rotation= 90, ha='right')\n",
"plt.ylabel('Taxomony abundance')\n",
"plt.xlabel('Bacterials')\n",
"plt.title('top 50 most abundant bacteria among ASD children')\n",
"plt.tight_layout\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {
"id": "P8KRIBhBFeic",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 542
},
"outputId": "8dcc07e8-0153-43d4-859d-a72717f381cf"
},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/html": [
"<html>\n",
"<head><meta charset=\"utf-8\" /></head>\n",
"<body>\n",
" <div> <script src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\"></script><script type=\"text/javascript\">if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script> <script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\n",
" <script charset=\"utf-8\" src=\"https://cdn.plot.ly/plotly-2.24.1.min.js\"></script> <div id=\"e331855e-c0e8-46ce-b84d-133a18a3ea12\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div> <script type=\"text/javascript\"> window.PLOTLYENV=window.PLOTLYENV || {}; if (document.getElementById(\"e331855e-c0e8-46ce-b84d-133a18a3ea12\")) { Plotly.newPlot( \"e331855e-c0e8-46ce-b84d-133a18a3ea12\", [{\"alignmentgroup\":\"True\",\"hovertemplate\":\"Taxonomy=%{x}\\u003cbr\\u003eTotalAbundance2=%{text}\\u003cextra\\u003e\\u003c\\u002fextra\\u003e\",\"legendgroup\":\"\",\"marker\":{\"color\":\"#636efa\",\"pattern\":{\"shape\":\"\"}},\"name\":\"\",\"offsetgroup\":\"\",\"orientation\":\"v\",\"showlegend\":false,\"text\":[148284.0,111269.0,101596.0,48813.0,48338.0,40595.0,33790.0,33156.0,31964.0,30903.0,30212.0,28425.0,27836.0,26926.0,26092.0,25917.0,25912.0,25726.0,25595.0,25302.0,23104.0,22471.0,22292.0,22157.0,20038.0,19623.0,19367.0,19201.0,18522.0,18403.0,17600.0,17332.0,17317.0,16871.0,16823.0,16607.0,16373.0,16071.0,15689.0,15606.0,15605.0,15276.0,15147.0,14834.0,14809.0,14713.0,14617.0,14394.0,13783.0,13356.0],\"textposition\":\"outside\",\"x\":[\"g__Faecalibacterium;s__Faecalibacterium prausnitzii\",\"g__Clostridium;s__uncultured Clostridium sp.\",\"g__Hungatella;s__Hungatella hathewayi\",\"g__Phascolarctobacterium;s__Phascolarctobacterium sp. CAG:207\",\"g__Clostridium;s__Clostridium sp. CAG:7\",\"g__Butyricicoccus;s__uncultured Butyricicoccus sp.\",\"g__Flavonifractor;s__uncultured Flavonifractor sp.\",\"g__Subdoligranulum;s__Subdoligranulum variabile\",\"g__Clostridium;s__Clostridium sp. GD3\",\"g__Eubacterium;s__Eubacterium sp. CAG:38\",\"g__Lachnoclostridium;s__[Clostridium] asparagiforme\",\"g__Lachnoclostridium;s__[Clostridium] bolteae\",\"g__Clostridium;s__Clostridium sp. CAG:43\",\"g__Alistipes;s__Alistipes indistinctus\",\"g__Roseburia;s__Roseburia inulinivorans\",\"g__Bacteroides;s__Bacteroides fragilis\",\"g__Bilophila;s__Bilophila wadsworthia\",\"g__Ruminococcus;s__uncultured Ruminococcus sp.\",\"g__Oscillibacter;s__Oscillibacter sp. ER4\",\"g__Eubacterium;s__[Eubacterium] eligens\",\"g__Bacteroides;s__Bacteroides thetaiotaomicron\",\"g__Bacteroides;s__Bacteroides uniformis\",\"g__Bacteroides;s__Bacteroides vulgatus\",\"g__Unclassified;s__[Eubacterium] rectale\",\"g__Bacteroides;s__Bacteroides ovatus\",\"g__Clostridium;s__Clostridium sp. CAG:299\",\"g__Eubacterium;s__Eubacterium ventriosum\",\"g__Ruminococcus;s__Ruminococcus callidus\",\"g__Alistipes;s__Alistipes putredinis\",\"g__Odoribacter;s__Odoribacter splanchnicus\",\"g__Clostridium;s__Clostridium sp. CAG:58\",\"g__Flavonifractor;s__Flavonifractor plautii\",\"g__Bacteroides;s__Bacteroides stercoris\",\"g__Butyricimonas;s__Butyricimonas virosa\",\"g__Eubacterium;s__Eubacterium sp. CAG:202\",\"g__Unclassified;s__Firmicutes bacterium CAG:124\",\"g__Eubacterium;s__Eubacterium sp. CAG:248\",\"g__Prevotella;s__Prevotella copri\",\"g__Faecalibacterium;s__uncultured Faecalibacterium sp.\",\"g__Escherichia;s__Escherichia coli\",\"g__Parabacteroides;s__Parabacteroides merdae\",\"g__Clostridium;s__Clostridium sp. CAG:75\",\"g__Eubacterium;s__Eubacterium sp. CAG:192\",\"g__Unclassified;s__Firmicutes bacterium CAG:95\",\"g__Blautia;s__[Ruminococcus] torques\",\"g__Clostridium;s__Clostridium sp. CAG:127\",\"g__Ruminococcus;s__Ruminococcus lactaris\",\"g__Roseburia;s__Roseburia intestinalis\",\"g__Clostridium;s__Clostridium sp. AT5\",\"g__Fusicatenibacter;s__Fusicatenibacter saccharivorans\"],\"xaxis\":\"x\",\"y\":[148284,111269,101596,48813,48338,40595,33790,33156,31964,30903,30212,28425,27836,26926,26092,25917,25912,25726,25595,25302,23104,22471,22292,22157,20038,19623,19367,19201,18522,18403,17600,17332,17317,16871,16823,16607,16373,16071,15689,15606,15605,15276,15147,14834,14809,14713,14617,14394,13783,13356],\"yaxis\":\"y\",\"type\":\"bar\",\"texttemplate\":\"%{text:.2s}\"}], {\"template\":{\"data\":{\"histogram2dcontour\":[{\"type\":\"histogram2dcontour\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"choropleth\":[{\"type\":\"choropleth\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"histogram2d\":[{\"type\":\"histogram2d\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"heatmap\":[{\"type\":\"heatmap\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"heatmapgl\":[{\"type\":\"heatmapgl\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"contourcarpet\":[{\"type\":\"contourcarpet\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"contour\":[{\"type\":\"contour\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"surface\":[{\"type\":\"surface\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"mesh3d\":[{\"type\":\"mesh3d\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"scatter\":[{\"fillpattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2},\"type\":\"scatter\"}],\"parcoords\":[{\"type\":\"parcoords\",\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterpolargl\":[{\"type\":\"scatterpolargl\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"scattergeo\":[{\"type\":\"scattergeo\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterpolar\":[{\"type\":\"scatterpolar\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"scattergl\":[{\"type\":\"scattergl\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatter3d\":[{\"type\":\"scatter3d\",\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scattermapbox\":[{\"type\":\"scattermapbox\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterternary\":[{\"type\":\"scatterternary\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scattercarpet\":[{\"type\":\"scattercarpet\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}]},\"layout\":{\"autotypenumbers\":\"strict\",\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"hovermode\":\"closest\",\"hoverlabel\":{\"align\":\"left\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"bgcolor\":\"#E5ECF6\",\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"ternary\":{\"bgcolor\":\"#E5ECF6\",\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]]},\"xaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"automargin\":true,\"zerolinewidth\":2},\"yaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"automargin\":true,\"zerolinewidth\":2},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"geo\":{\"bgcolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"subunitcolor\":\"white\",\"showland\":true,\"showlakes\":true,\"lakecolor\":\"white\"},\"title\":{\"x\":0.05},\"mapbox\":{\"style\":\"light\"}}},\"xaxis\":{\"anchor\":\"y\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"Bacteria\"},\"tickangle\":-45},\"yaxis\":{\"anchor\":\"x\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"Total Abundance\"}},\"legend\":{\"tracegroupgap\":0},\"title\":{\"text\":\"Top 50 Most Abundant Bacteria among Typical develop children\"},\"barmode\":\"relative\"}, {\"responsive\": true} ).then(function(){\n",
" \n",
"var gd = document.getElementById('e331855e-c0e8-46ce-b84d-133a18a3ea12');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
" console.log([gd, 'removed!']);\n",
" Plotly.purge(gd);\n",
" observer.disconnect();\n",
" }}\n",
"}});\n",
"\n",
"// Listen for the removal of the full notebook cells\n",
"var notebookContainer = gd.closest('#notebook-container');\n",
"if (notebookContainer) {{\n",
" x.observe(notebookContainer, {childList: true});\n",
"}}\n",
"\n",
"// Listen for the clearing of the current output cell\n",
"var outputEl = gd.closest('.output');\n",
"if (outputEl) {{\n",
" x.observe(outputEl, {childList: true});\n",
"}}\n",
"\n",
" }) }; </script> </div>\n",
"</body>\n",
"</html>"
]
},
"metadata": {}
}
],
"source": [
"TD_individual_columns = ['A3', 'A5', 'A6', 'A9', 'A31', 'A51', 'A52', 'A53', 'A54',\n",
" 'A59', 'A67', 'A68', 'A69', 'A71', 'A73', 'A76', 'A78', 'A87', 'A89',\n",
" 'A93', 'A101', 'A109', 'A113', 'A114', 'A115', 'A142', 'A144', 'A149',\n",
" 'A164', 'A165']\n",
"\n",
"# Summing the abundance across all individuals for each bacterium\n",
"ASD_meta['TotalAbundance2'] = ASD_meta[TD_individual_columns].sum(axis=1)\n",
"\n",
"# Selecting the top 20 most abundant bacteria\n",
"TD_top_50 = ASD_meta.nlargest(50, 'TotalAbundance2')\n",
"\n",
"\n",
"fig5 = px.bar(TD_top_50, x='Taxonomy', y='TotalAbundance2', text='TotalAbundance2',\n",
" title='Top 50 Most Abundant Bacteria among Typical develop children')\n",
"fig5.update_traces(texttemplate='%{text:.2s}', textposition='outside')\n",
"fig5.update_layout(xaxis_title='Bacteria', yaxis_title='Total Abundance', xaxis_tickangle=-45)\n",
"fig5.show()"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {
"id": "I8w4fkzggUGK",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 956
},
"outputId": "d1830871-8b62-48b0-cee1-6af1bc14bbea"
},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 2200x600 with 1 Axes>"
],
"image/png": "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\n"
},
"metadata": {}
}
],
"source": [
"######static chart\n",
"plt.figure(figsize=(22, 6))\n",
"plt.bar(TD_top_50['Taxonomy'], TD_top_50['TotalAbundance2'])\n",
"plt.xticks(rotation= 90, ha='right')\n",
"plt.ylabel('Taxomony abundance')\n",
"plt.xlabel('Bacterials')\n",
"plt.title('top 50 most abundant bacteria among TD children')\n",
"plt.tight_layout\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "al5cUpD7eAzu"
},
"source": [
"#importing essential library for more bio analysis\n",
"\n",
"> Indented block\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"id": "nALgzVGdY7sn",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "d0a5362c-fea3-420e-b08d-7c86f721cdf2"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Collecting biopython\n",
" Downloading biopython-1.82-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.1 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.1/3.1 MB\u001b[0m \u001b[31m11.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from biopython) (1.23.5)\n",
"Installing collected packages: biopython\n",
"Successfully installed biopython-1.82\n"
]
}
],
"source": [
"!pip install biopython\n",
"import Bio # Import the Biopython library\n",
"from Bio import SeqIO # Import the SeqIO module for sequence manipulation\n",
"from Bio import AlignIO # Import the AlignIO module for alignment manipulation\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "sT1WDqFudEbE",
"outputId": "6aff139f-5f3d-4e1a-dcda-01850a4ec3a0"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Collecting scikit-bio\n",
" Downloading scikit-bio-0.5.9.tar.gz (3.5 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.5/3.5 MB\u001b[0m \u001b[31m13.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
" Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
" Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
"Requirement already satisfied: requests>=2.20.0 in /usr/local/lib/python3.10/dist-packages (from scikit-bio) (2.31.0)\n",
"Requirement already satisfied: decorator>=3.4.2 in /usr/local/lib/python3.10/dist-packages (from scikit-bio) (4.4.2)\n",
"Requirement already satisfied: IPython>=3.2.0 in /usr/local/lib/python3.10/dist-packages (from scikit-bio) (7.34.0)\n",
"Requirement already satisfied: matplotlib>=1.4.3 in /usr/local/lib/python3.10/dist-packages (from scikit-bio) (3.7.1)\n",
"Requirement already satisfied: natsort>=4.0.3 in /usr/local/lib/python3.10/dist-packages (from scikit-bio) (8.4.0)\n",
"Requirement already satisfied: numpy>=1.9.2 in /usr/local/lib/python3.10/dist-packages (from scikit-bio) (1.23.5)\n",
"Requirement already satisfied: pandas>=1.5.0 in /usr/local/lib/python3.10/dist-packages (from scikit-bio) (1.5.3)\n",
"Collecting scipy<=1.10.1 (from scikit-bio)\n",
" Downloading scipy-1.10.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (34.4 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m34.4/34.4 MB\u001b[0m \u001b[31m11.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: h5py>=3.6.0 in /usr/local/lib/python3.10/dist-packages (from scikit-bio) (3.9.0)\n",
"Collecting hdmedians>=0.14.1 (from scikit-bio)\n",
" Downloading hdmedians-0.14.2.tar.gz (7.6 kB)\n",
" Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
" Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
" Installing backend dependencies ... \u001b[?25l\u001b[?25hdone\n",
" Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
"Requirement already satisfied: Cython>=0.23 in /usr/local/lib/python3.10/dist-packages (from hdmedians>=0.14.1->scikit-bio) (3.0.7)\n",
"Requirement already satisfied: setuptools>=18.5 in /usr/local/lib/python3.10/dist-packages (from IPython>=3.2.0->scikit-bio) (67.7.2)\n",
"Collecting jedi>=0.16 (from IPython>=3.2.0->scikit-bio)\n",
" Downloading jedi-0.19.1-py2.py3-none-any.whl (1.6 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.6/1.6 MB\u001b[0m \u001b[31m84.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: pickleshare in /usr/local/lib/python3.10/dist-packages (from IPython>=3.2.0->scikit-bio) (0.7.5)\n",
"Requirement already satisfied: traitlets>=4.2 in /usr/local/lib/python3.10/dist-packages (from IPython>=3.2.0->scikit-bio) (5.7.1)\n",
"Requirement already satisfied: prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from IPython>=3.2.0->scikit-bio) (3.0.43)\n",
"Requirement already satisfied: pygments in /usr/local/lib/python3.10/dist-packages (from IPython>=3.2.0->scikit-bio) (2.16.1)\n",
"Requirement already satisfied: backcall in /usr/local/lib/python3.10/dist-packages (from IPython>=3.2.0->scikit-bio) (0.2.0)\n",
"Requirement already satisfied: matplotlib-inline in /usr/local/lib/python3.10/dist-packages (from IPython>=3.2.0->scikit-bio) (0.1.6)\n",
"Requirement already satisfied: pexpect>4.3 in /usr/local/lib/python3.10/dist-packages (from IPython>=3.2.0->scikit-bio) (4.9.0)\n",
"Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=1.4.3->scikit-bio) (1.2.0)\n",
"Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=1.4.3->scikit-bio) (0.12.1)\n",
"Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=1.4.3->scikit-bio) (4.47.0)\n",
"Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=1.4.3->scikit-bio) (1.4.5)\n",
"Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=1.4.3->scikit-bio) (23.2)\n",
"Requirement already satisfied: pillow>=6.2.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=1.4.3->scikit-bio) (9.4.0)\n",
"Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=1.4.3->scikit-bio) (3.1.1)\n",
"Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=1.4.3->scikit-bio) (2.8.2)\n",
"Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas>=1.5.0->scikit-bio) (2023.3.post1)\n",
"Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests>=2.20.0->scikit-bio) (3.3.2)\n",
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.20.0->scikit-bio) (3.6)\n",
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.20.0->scikit-bio) (2.0.7)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.20.0->scikit-bio) (2023.11.17)\n",
"Requirement already satisfied: parso<0.9.0,>=0.8.3 in /usr/local/lib/python3.10/dist-packages (from jedi>=0.16->IPython>=3.2.0->scikit-bio) (0.8.3)\n",
"Requirement already satisfied: ptyprocess>=0.5 in /usr/local/lib/python3.10/dist-packages (from pexpect>4.3->IPython>=3.2.0->scikit-bio) (0.7.0)\n",
"Requirement already satisfied: wcwidth in /usr/local/lib/python3.10/dist-packages (from prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0->IPython>=3.2.0->scikit-bio) (0.2.12)\n",
"Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.7->matplotlib>=1.4.3->scikit-bio) (1.16.0)\n",
"Building wheels for collected packages: scikit-bio, hdmedians\n",
" Building wheel for scikit-bio (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for scikit-bio: filename=scikit_bio-0.5.9-cp310-cp310-linux_x86_64.whl size=2469073 sha256=c39e859b875375ffbc344b8450d8634e100e12bedfcda64960ccbd2e0808431b\n",
" Stored in directory: /root/.cache/pip/wheels/77/72/2c/993efbb4d69a86bee422bc96e4e2f1ec9af7cc596a08bb86e1\n",
" Building wheel for hdmedians (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for hdmedians: filename=hdmedians-0.14.2-cp310-cp310-linux_x86_64.whl size=677335 sha256=6ffc7e4b8797e49fba7d8839461fc15cf99974f9e6b8dd7b125b664bcf6f66c9\n",
" Stored in directory: /root/.cache/pip/wheels/82/8f/0d/0c61130cfad119482ebb95aecf8d5dfaddd0181f5680da2bec\n",
"Successfully built scikit-bio hdmedians\n",
"Installing collected packages: scipy, jedi, hdmedians, scikit-bio\n",
" Attempting uninstall: scipy\n",
" Found existing installation: scipy 1.11.4\n",
" Uninstalling scipy-1.11.4:\n",
" Successfully uninstalled scipy-1.11.4\n",
"\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
"lida 0.0.10 requires fastapi, which is not installed.\n",
"lida 0.0.10 requires kaleido, which is not installed.\n",
"lida 0.0.10 requires python-multipart, which is not installed.\n",
"lida 0.0.10 requires uvicorn, which is not installed.\u001b[0m\u001b[31m\n",
"\u001b[0mSuccessfully installed hdmedians-0.14.2 jedi-0.19.1 scikit-bio-0.5.9 scipy-1.10.1\n"
]
}
],
"source": [
"!pip install scikit-bio\n",
"import skbio"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "TY6OKhB8B6Oz",
"outputId": "08a3316e-4235-4a1c-dfdb-fc799f060534"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"0.5.9\n"
]
}
],
"source": [
"\n",
"print(skbio.__version__)"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "xPOHEY6UDjdq",
"outputId": "ef581ec1-825e-4997-8b64-1a4581f5ee51"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"1.82\n"
]
}
],
"source": [
"print(Bio.__version__)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "GVCiqKQsReaD"
},
"source": [
"Bio analysis"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "_2VrOD1reLXB"
},
"source": [
"Shanon Diversity Analysis"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 968
},
"id": "pfz9Z2AVa4YZ",
"outputId": "bcc9d3bd-6b4a-4329-ebdc-565be70327fe"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
" Shannon_Diversity\n",
"Taxonomy \n",
"g__Faecalibacterium;s__Faecalibacterium prausni... 3.872071\n",
"g__Hungatella;s__Hungatella hathewayi 3.837312\n",
"g__Clostridium;s__uncultured Clostridium sp. 3.860267\n",
"g__Butyricimonas;s__Butyricimonas virosa 3.402882\n",
"g__Alistipes;s__Alistipes indistinctus 3.524820\n",
"... ...\n",
"g__Unclassified;s__Gordonia phage GTE2 NaN\n",
"g__Alphabaculovirus;s__Hyphantria cunea nucleop... NaN\n",
"g__Potyvirus;s__Bean common mosaic virus NaN\n",
"g__Potyvirus;s__Telosma mosaic virus NaN\n",
"g__Unclassified;s__Freshwater phage uvFW-CGR-AM... NaN\n",
"\n",
"[5619 rows x 1 columns]\n"
]
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"/usr/local/lib/python3.10/dist-packages/skbio/diversity/alpha/_base.py:869: RuntimeWarning:\n",
"\n",
"invalid value encountered in divide\n",
"\n"
]
},
{
"output_type": "display_data",
"data": {
"text/html": [
"<html>\n",
"<head><meta charset=\"utf-8\" /></head>\n",
"<body>\n",
" <div> <script src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\"></script><script type=\"text/javascript\">if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script> <script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\n",
" <script charset=\"utf-8\" src=\"https://cdn.plot.ly/plotly-2.24.1.min.js\"></script> <div id=\"dd5d5c40-cdc6-4b22-887d-de206c508237\" class=\"plotly-graph-div\" style=\"height:600px; width:100%;\"></div> <script type=\"text/javascript\"> window.PLOTLYENV=window.PLOTLYENV || {}; if (document.getElementById(\"dd5d5c40-cdc6-4b22-887d-de206c508237\")) { Plotly.newPlot( \"dd5d5c40-cdc6-4b22-887d-de206c508237\", [{\"alignmentgroup\":\"True\",\"hovertemplate\":\"Taxonomy=%{x}\\u003cbr\\u003eShannon Diversity=%{marker.color}\\u003cextra\\u003e\\u003c\\u002fextra\\u003e\",\"legendgroup\":\"\",\"marker\":{\"color\":[3.872071397474532,3.837312408890709,3.860267134609956,3.402882488121218,3.5248199610909507,3.3505116873079643,3.8414724623440524,3.0557606067667997,3.738422833450428,3.8373568292877978,3.2545225975118095,3.6989140801266607,2.665873244601232,2.6399782037486657,3.752530346737757,3.518093707839785,2.765506764525514,3.474690360288409,3.792563672351905,3.760383492556798,3.4013301480767506,3.0291905118088973,3.765288795387079,3.695253787614624,3.4607859967679944,3.095903300157256,3.030939111232472,3.213483156264173,3.608095464359736,3.4131989695411384,3.8268565732821087,3.4333968257335297,3.8193914629653807,2.8657098273061803,2.6425705392104155,2.835995786376592,3.062627697791888,3.362515870532917,2.994596698007332,3.6110249509902577,3.5375790531531894,3.5549091760418414,3.1306980128722492,2.428927323278189,3.8117018442052863,2.6384908657056454,3.202055611047248,2.601101179528355,3.4913907458253925,3.581354409337561,2.6073913569829323,2.0595078290654194,2.4122103810256235,2.4277145462065324,3.579327723170246,3.7829784220544997,3.706315716880585,3.820285497025666,3.4571459226681,3.7311889140171908,2.0013817600257937,3.863596280106621,3.7480406247419213,3.8357801188773686,3.8212530062872525,2.217574800202751,2.4689986601151817,3.2175014348598725,2.6563874067500537,3.129270821457119,3.7592244337551137,3.5140656636322993,3.848650478677014,3.5436031623699153,3.7044258643583765,3.1026678181861245,3.297953264181779,3.2635666061675734,3.8691239882597848,3.7423428797262086,3.84549341605988,3.6019837944074578,3.297500968925088,3.8577116439668706,3.460743298794289,2.2536055539729576,3.7715544551614215,3.6795937183640115,3.3197359814935665,3.861092748207502,3.455126564301511,3.631494793117017,3.804672439352174,3.1141226919638925,3.648533500873239,3.7177641348712998,3.6867081236125427,3.2746702494077824,3.6045726175351707,3.1524075882874105,3.781044357278352,2.4963143532081573,3.859042339414434,3.272953565214562,3.828344698846735,3.45050700629282,3.2742071445902567,3.631902870005173,3.684556317896903,3.699569708528955,3.0937204046762425,3.5770959889917653,3.7771351254243526,3.5108413968288805,3.765130624221578,3.8772476236760407,3.375452108533022,3.8280876298493025,2.794201976856384,3.61682442859237,3.1350980547095233,3.357455419988976,3.843435104246013,3.7937933756152695,3.3682758834771875,3.785916159439037,3.493875798644347,3.4714933498262335,3.4705021181603,3.7095133086500525,3.560994896986241,2.7442470485508985,3.838644188511807,3.5651415205491803,3.429771552472893,3.7807786925261637,3.4221135216740683,3.091270256136885,3.3025746332438244,2.73661921322237,2.990643714545729,3.7211237642014034,3.3321892775607,2.407246551871759,3.681619480362964,3.777513761223592,3.4204835697799614,3.2854329156860573,2.744312531569043,3.5241436800155848,3.0141501969205624,3.487314380285871,3.6619072542413758,3.0393074235203454,2.7628272689535573,3.1493681079464935,3.8075086153977264,3.8471120424550276,3.636595274873585,3.0439083165184906,3.7553701613854416,3.817835799526571,3.8563799305470035,3.8506670619354453,3.7425133597282274,3.7979441094059947,3.721455575293986,2.6952799352656336,3.817156343605218,3.6773522952336495,3.654732743628465,3.6263085084303026,3.8382087218867973,3.0699484459000295,3.779734399860412,3.2519203745330447,3.578398007444672,3.032318428636551,3.459898988910032,3.7485809676736923,3.6526083625291865,3.2262463638032353,3.417431478406409,3.303631844959341,3.5260880963880874,3.865679164339238,3.7208124401040865,3.8194183239750132,2.325044936470006,3.8247454611333036,3.727844983910588,3.750260046808296,3.86396152233566,3.850649500496665,3.8017851176106943,3.795055946736265,3.636828942625605,2.4251961979639303,3.876647046693464,3.707433978563937,3.443704300092441,3.0996733294918064,3.815395059778343,3.66572403573423,2.796531896592771,3.328924565546739,3.8602284635054978,3.364333805030259,2.5768663089362245,3.806910916969828,3.1438568275083436,3.8038482640470446,3.5663273017455324,3.404524683865744,3.629645404976647,3.750916973049535,3.524009325846017,3.385182363899956,3.386830830295083,3.3288884144383584,3.8066179809437455,3.754443614193739,3.6285667325450683,3.5276532761302133,3.778463226062715,3.0599229255464278,3.8477576379447402,3.801029194391163,3.5992561665063496,3.841318235447514,3.8298591029281654,3.473070333063388,3.611203609653355,3.531344354487953,3.710599788961875,3.5632394252925117,3.804445820173007,3.767141543563934,3.5160596010664027,3.1907692554075617,3.3169984863551094,3.767374671798084,3.6128991529071586,3.4210821597512697,3.6810134867420774,3.766140686316381,3.8193970377594413,3.7756313965949664,2.738966486381231,3.6856361878616988,3.672975091566627,3.8045717959469276,3.4440274633099768,3.79939776155715,3.8509288815233624,3.6574095878741115,3.2303809177068485,3.4773696538454386,3.370034183852788,3.674167977637695,3.8618176618006888,3.872388537779507,3.2301267663982913,3.8313288789094377,3.7808742184061246,3.837060465951155,3.674987879936073,3.61501020820713,3.025875340994585,3.6387622106983617,3.82999825302192,3.2798235542855423,2.914010944907128,3.5468863334309417,3.733026435174789,3.7465197983472986,3.74895768386353,3.725014529669852,3.851041220594617,3.852266630461668,2.8467362107604095,3.826320173779134,3.7832522042168253,3.7667215869979476,3.69877153244164,3.8129038608219186,3.679876865668432,3.831632645285099,3.2732681573309885,3.721901509713767,3.6950957325492335,3.6011578878725135,3.8109179418786194,3.616428056389222,3.574321698280167,3.8220773460477955,3.753687998410498,3.8145495554330395,3.842151017768613,3.8768709981223317,3.6547964310984127,3.445787342269772,3.6685198109163752,3.7877404540502257,3.7037586953855044,3.4827365387417326,3.809366797344191,3.85871052485799,3.3845195564682546,3.657924822999032,2.5119563713806814,3.3880589084589947,3.608249316959783,3.8079338364726576,3.7409920304326763,3.5045898034702843,3.8348032128755025,3.4810276827071718,3.752793871258184,3.70750221837109,3.22654412066531,3.3163064086164806,3.7838029958441695,3.68152943177544,3.6784455249100394,3.6405142263103607,2.5702900940629547,3.5472721903827553,3.814093356466633,3.822538634612154,3.8581696315710414,3.722688552404061,3.843697470100103,3.707963576150604,3.6256478091444846,3.5302149306211894,3.784286882922833,3.6684381705568447,3.174744055063724,3.1976669587304385,3.688705497790179,3.8582985491637496,3.7181552675091227,3.2526071464777577,3.6917823636992275,3.8428800183952476,2.8771241232172384,3.7048437206353397,3.363612942883272,3.309822729365921,3.783198269551111,3.8123154100711236,3.745056680171612,3.8157474107255456,3.585892639768229,3.867608032783135,3.2117505449954344,3.784327580268354,3.566411329820544,3.838065575743816,3.034141137264811,3.8044224420093142,3.8607076471731077,3.7550907203895956,3.5644194060665497,3.6267516830203834,3.757119459713923,3.7858991099489256,2.608405832393756,3.8013874417318028,3.734377905547824,3.362460033688415,3.5858223705309697,3.766690254404263,3.76182462784398,3.710764166166809,3.762436047528174,3.7551936897859846,3.8506320215118457,3.5275183360889906,3.77460561898587,3.698991597636577,3.847958308945583,3.676534465928215,3.7430191270413427,3.858705250980592,3.6647941034233718,3.7496006733227314,3.6003831283507974,3.863082874674428,3.420125742074986,3.3956222503170386,2.7586842383684766,3.6767798680657076,3.7607612811382642,3.787964970462249,3.753586539321581,3.6666003251505725,3.8536565291203706,3.6950182057267,3.7354337601102494,3.3880981754125665,3.811744674666395,3.814991369424238,3.814807323682192,3.8336501205190414,3.63485095939833,3.829204415670584,3.8443751679409464,3.600521480887004,3.8223489078443396,3.764373206848855,3.85487266623602,3.728212270678064,3.820020970928091,3.6736757306070085,3.703888741958124,3.730810717547196,3.8382421580617536,3.5822244218314125,2.869926381658795,3.606310834569866,3.2060944846328887,3.8559892254022623,3.6593820426749573,3.837157874698393,3.495489834349131,3.721770557742203,3.585317020929135,3.840286983996252,3.825680846260072,3.8294125423672747,3.7585008968452134,3.0048821272311113,3.7932879412983938,3.5026150683415684,3.8333716370188005,3.665273611316514,3.7865761443967774,3.8405777531706717,3.719926444702378,3.7970196021530644,3.865664424436938,3.850877101258395,2.917259751561131,3.8482030311068995,3.836862371595147,3.4642889795798433,3.7923270062551047,3.8376678433892057,3.8281642234363282,3.819606054644857,3.849460915217275,3.562936023075902,3.4277164016101263,2.7850383514876293,3.848510251636161,3.8248941961914844,3.8505237298303236,3.6150290126774616,3.6036524047394134,3.4777388478151496,3.8256873643610665,3.849862008086937,3.8333276794257607,3.796262398432139,3.8098995919473144,3.492486352968023,3.6969092132366534,3.634632616981693,3.68014136144229,3.5432473466581826,3.636919195270802,3.842726300936858,3.625481982786401,3.7697953334920165,3.8499349252176414,3.846347223055852,3.7146302050888234,3.853957966084458,3.8105534302574884,3.1860618376667187,3.761128623268939,3.5929177490542514,3.7131964001241897,3.8447184701016677,3.6287727050905554,3.8268187567476915,3.6714012001789107,3.4667317755581277,3.83436734564419,3.6277785731693664,3.305619359225109,3.3950610250909086,3.8495519246055303,2.6136026415622506,3.549132855140654,3.4598252243230108,3.8569341114061206,3.860472640114841,3.8538154936621476,3.3373336924864283,3.7209084928241842,3.7024495226031324,3.84721719353751,3.8470357081996776,3.3416164578928833,3.8196924287619036,3.8224657885597013,3.853327154628108,3.7113576457562383,3.677808695284661,3.822206083765743,3.80115820851603,3.8441940085471105,3.675685994262535,3.843932119263713,2.7498074169961577,3.863878594909861,3.7164013472775563,3.8432998900811577,3.647843508328196,3.7859767231032504,3.7892877720524725,3.586401893983177,3.8485755653865232,3.389728556549219,3.852034309185064,3.3560250919098378,3.8267531138786075,3.8574828326049104,3.606898599057069,3.7592298490411276,3.4921813527585988,3.8155647195102973,3.77089635533948,3.843254752051596,3.198366816556205,3.8338171212143566,3.8007711027940863,3.7067662500289615,3.8330152630353203,3.2774858485316734,3.839191520314582,3.5540769164947568,3.852571982682262,3.7669051318009887,3.660566884547836,3.836977550422769,3.6185438053082697,3.7812609488869158,3.659496320155177,3.572041626318429,3.8514185028260104,3.8350327399221342,3.8133430492665483,3.8380643355326605,3.7693749251047897,3.1998317779354113,3.5418707224434307,3.802317762868361,3.8626896739525334,3.822532488944955,3.8357247361060702,3.8324737335677366,3.783199221739485,3.8362213467589887,3.805190168894763,3.83009618345995,3.804357165132137,3.5729385822513042,3.6755133681396157,3.7859478678253686,3.738363193040978,3.7951584357721404,3.016839645837024,3.8335248974712948,3.2584408218239935,3.7803148328307636,3.507834138758363,3.5237754245172903,3.511700381229963,3.305976633263168,3.6726984221950247,3.4698115261998814,3.4493237267696153,3.851787520727151,3.8518706977600408,3.841357994161199,3.683062534202259,3.641907184243894,3.5339093154496024,3.5737594200854677,3.821911145212445,3.8106980140542066,3.8359620775671,3.8116700028732113,3.731381896656369,3.6313563382299923,3.8402601360415707,3.861832347408061,3.85708916531183,3.8468931614937754,3.733322800446742,3.3109920119692844,3.712023356029533,3.7601124969835626,3.825543202765913,3.6240882161752985,3.8158555950347885,3.3839567938225774,3.85447180847801,3.8666750733955553,3.821590610788084,3.826861493116928,3.8529270071027897,3.682864422249023,3.482861525209481,3.838244444770123,3.801592505998735,3.7788618960930327,3.827241425207857,3.420196790503855,2.635927430893514,2.6602174153905627,3.2417295512210247,1.584962500721156,3.579566395869605,3.2852169839610244,3.4089693418054643,2.682615348777767,3.3613900414649898,3.8387417422581174,3.8221930001475033,3.7452124931636774,3.543671593214091,3.8452245222235146,3.7631603711526234,3.846970427049567,3.8365212056802047,3.7941409615508968,3.7243903961643885,3.863445692504641,2.81110917512406,3.578502692250854,3.7452222999242912,3.670637365667526,3.824023396124651,2.824536494765784,3.798698677890381,3.506285636259812,3.7431318921314403,3.693578895387508,3.594790387969418,3.6743570563678754,3.78878168195101,3.354536265744893,3.7892050324152167,3.8668736504812755,3.831171870869279,3.7253586507179404,3.834693841717553,3.4886333166885497,3.3642275898843765,3.1212173321125998,3.752834471065186,3.733958158275568,3.4862404362911255,3.0535322666085003,3.7858981503686824,3.77307613592069,3.823339668344545,3.80619942032304,3.737265284216509,3.5894025139276224,3.7999708949574833,3.8230927162216535,3.771844831259556,3.8316259358744476,3.329240146569364,3.5838106177899003,3.5576503021117527,3.8425889120111463,3.761438554522775,3.728764668555236,3.583000966381994,3.2980953307905065,3.7582808964417613,3.8182261305025955,3.810842429247919,3.791733878261921,3.7798016362420874,3.8335547015765123,3.153026578114399,3.727801903772331,3.5837686921831744,3.168351408610917,3.1869496885084923,3.5306044373881553,1.9182958340544896,3.8148380616383566,3.610006595514874,3.6559971582879065,3.781727415921163,3.835813934880037,3.7169227006443006,3.399782560761039,3.473021405021518,3.759651200750356,3.83138077957582,3.83260282268959,3.809193843130047,3.7750615767302578,3.8344483725035157,3.818980922871081,3.6799903447754105,3.853749970743596,3.581414171349349,2.9141648914063674,2.847421032224671,2.8611732139286743,3.8343242560585913,3.714462058331596,3.734711972942784,3.2278629082265673,3.847376465807095,3.8442824963783253,3.8443663032531425,3.8033195595034717,3.8435950147667772,3.8347056996551845,3.8674014373690797,3.8581256384075613,3.814337830026927,3.773858712047617,3.815697966625005,3.7540076935953484,3.8472500158022696,3.8598170316040354,3.589954659945865,3.7043023032266356,3.474924560466174,3.535677378038458,3.3528329368135172,2.910134330723136,2.197252395529623,3.613643311971874,3.843443126062751,3.861191837882432,3.84217752792676,3.7311619777461655,3.4955543305150862,3.7907244354929697,3.763332078844484,3.515057979155071,3.605796691251827,3.7722505975492173,3.7106463441250086,3.7520954037386773,3.5645174255276664,3.650979327856128,3.690740357358255,3.4949490268298287,3.466804440362531,3.3444445731325967,3.7730797231854454,3.799586634885228,3.8354260894605816,3.8307509361272465,3.847459719384252,3.3491440837365114,3.028477045295748,3.7633611069538864,3.835835813187133,3.832013531385831,3.694562834718349,3.433479162031668,3.7357745256094255,3.7839400668105028,3.613382823718585,3.4278745688822796,3.7425077044500457,3.810547275657265,3.259844275325264,3.7674530972096356,3.790998321569588,3.798118469641369,3.8498376843748234,3.8265283223799993,3.8162757641103293,3.7773805345905456,3.810582078836465,3.6827444225381587,3.0203045287582024,3.2933587726093374,2.763037867273751,3.0829090747152748,3.6855235693149226,3.6452577552112264,3.184649126111851,3.5558911016861776,3.4969173353398486,3.6863111253698273,3.8063543514353446,3.7788727831847235,3.837132445468695,3.7622495252745445,3.8199625041129344,3.7818958688260387,3.7877713643440867,3.803425544526052,3.7799424542904316,3.7564455280112004,3.8461979208145785,3.765914129723952,3.7970321980065154,3.7496965590584246,3.7213925401726065,3.7845973637062147,3.6718376720895844,3.7986221361431802,3.272372711598902,2.9759793739750493,3.7859290350984933,3.8181936470349327,3.6472256032185046,2.8644817253484365,3.583294826505578,3.495711463841128,3.8013283164554115,3.551910138631602,3.7925241994931356,3.7952824141942614,3.8202968410981017,3.8190946730419673,3.5534087861004973,3.6822196589732057,3.7560281775710505,3.76264132910339,3.7822031704239842,3.7932589637749223,3.745871536617274,3.700232693479869,3.653852433628692,3.2436115100487606,3.5702657937235522,3.4952400779485426,3.5983922718685903,3.7649245224708237,3.6009986095788067,3.6671442896735207,3.7091806425631773,3.6115952718545876,3.634049315101633,3.5995233854100555,3.637387473858678,3.652290376304005,3.2523452787935456,3.617998362031119,3.794983762683908,3.797524148080229,3.1173450904750895,3.3054521722178243,3.830650567429427,3.801650807031506,3.804574106159394,3.7277927043668577,3.812323392652228,3.815121294216875,3.7454051093090936,3.5238731593725823,3.796602108683074,3.8182076040735553,3.8014733816924937,3.6967134166557085,3.8021143620494975,2.7695158002773197,3.7630239307323796,3.5847585742369894,3.625534020675738,3.820016008501283,3.761080507190726,3.6582202502771803,3.8023059933652146,3.8497529931193797,3.731174835280552,3.7370446075974244,3.7818425733298024,3.7720695955906733,3.782076018698608,3.7987103739926447,3.8382817161156852,3.7032326056464506,3.7648360549728705,3.793102125298333,3.7503345279892364,3.715301476697755,3.7472655425653123,3.7970272084389083,3.4534637277299574,3.7874380147688944,3.800344698095475,3.6700761673241904,3.530066601357461,3.834511293991299,3.630347629841251,2.581277943702962,3.6519130290836617,3.80394524224721,2.9474672793890506,2.692462367587893,3.5802718571623706,3.0382939329295446,3.392852369079776,3.7889642693323324,3.746257019095271,3.69162814831389,3.71384513571687,3.8146460661883808,3.150402331151222,3.7771139028031278,3.779342431633006,3.7337851221495555,3.700409723752291,3.821539064490162,3.8279942890474694,3.8321714769172766,3.616524675984399,3.7688907422149036,3.7964778512291795,3.7223291145327586,3.7500636633525892,3.570611842048058,3.4567178781578036,3.755353162800511,3.8670707179217123,3.618748112534864,3.64367460226261,3.6874837331535537,3.753014833792568,3.5549530244378205,3.5870037859811785,3.731664983003021,3.2311375007173897,3.591143248691228,3.45923396722489,3.7904008317672178,3.3723567414475424,3.539890312037677,3.4753607511711717,3.6699767358878628,3.638547037553146,3.753052552648718,3.8351152100167134,2.8353125297841926,3.847047612858354,3.787573931352439,3.3495266438648224,3.195896465718403,3.738476183057405,3.8332651600835908,3.771856638855868,3.784403724995453,3.782302630930595,3.666011411733253,3.7795412801126305,3.7421084707954795,3.8247020079910254,3.749080334613451,3.796822067396309,3.716529895243478,3.7731630331451917,3.7548164306650285,3.772676753015722,3.72052319835284,3.2996274136452795,3.796369531337697,3.7999948389456266,3.6530293512994128,3.7099699850439993,3.72565673009501,2.864696246649594,2.9603342791916707,3.696023515175211,3.610935129383782,3.706484131827102,3.6904023445684095,3.8452995495962847,3.4936927775851596,3.779485063044045,3.5992185587212706,3.660034934509958,3.6825812611558155,3.641860503723677,3.656793469092517,3.303053306617242,3.756688258351205,3.7956039039975744,3.829519903149374,3.8035758870743823,3.4759801777621986,3.7225893807303345,3.8386408131465233,3.776142540108659,3.827437852357959,3.832605791660272,3.7957195947697873,3.823113873022833,3.634950404957659,3.666835520521396,3.4228944832006922,3.6524263330672535,3.7581363794058302,3.781451534064275,3.741768756498178,3.6984422907005206,3.8180879722948156,3.4558381769947055,3.3220836919331402,2.6754404823128772,2.4223844580064577,3.54074329247236,3.48565552111342,3.5550610605364357,3.7446419654720264,2.966876090570221,2.7609859496938305,3.680784982848069,3.15447183404667,3.4105920720342535,3.6502125726831682,3.647194078675281,3.803494259943908,3.7884507156606557,3.7438579314520846,1.7314614963616608,3.7111726965181924,3.701740819560486,3.7798450830632015,3.7511142192280738,3.8160358830569616,3.827633225554324,3.4002685479466326,3.7895216809387313,3.7797438338882183,3.7644894337193295,3.761378677816073,3.724544081257878,3.722707385743677,3.691871689783965,3.7918701782476316,3.502116315194843,3.829317305525621,3.685034152269691,3.793570883278477,3.7716281018983855,3.7666499850456323,3.671482805119253,3.753400300508436,3.8053690232428914,3.73535524909586,3.7551449487995683,3.717908925832932,3.6181781347291873,3.707464735554265,3.6837475754889115,2.8561868724307704,3.0095618253874266,3.6230245644234103,3.378623981859152,3.768634832857773,3.390506980496592,3.3942116696919564,2.3378896247999945,3.38075594918818,3.4618044653800717,3.708172780127287,2.8085720706533697,3.6545434473744587,3.6179961347830747,3.6197173995613117,3.5818987203810346,3.6013462514164187,3.587807842478601,3.4106000177365803,3.5070620276076587,3.4674089461023914,3.572930583556284,3.7530703290366056,3.6305231726377607,3.809202400679802,3.3818304640501373,3.705502287073548,3.6815447226960774,3.7675066312931293,3.690504142576941,3.782114044653553,3.618399212431331,3.7813075540662555,3.783833233983797,3.7289889676759227,3.8013242046747475,3.793700092242385,3.767549232026906,3.713612937388732,3.726030112488741,3.7186658532462986,3.7966182410916565,3.7272375188215006,3.7822002090210733,3.8062300576939165,3.669001788576667,3.7445003780898016,3.721673966447247,3.804394885417434,3.6867465372137294,3.5582748326553597,3.696924314893874,3.6532155132395645,3.621402911944658,3.761874230765529,3.7509651214364728,3.688160736345599,3.4448996007911905,3.138862982568223,1.897626229780677,3.548054477490071,3.645541388980145,3.6425286483319184,3.170083850620414,2.6567231377156544,1.9182958340544896,3.462980309044543,3.7459585489936216,3.696952968989928,3.558580875766394,3.248292548959884,3.7407392714777683,3.12280361349235,3.8721311514427432,3.6194506780687865,3.1131143725365944,3.2521815692304665,3.3724121647002345,3.2799839998913067,3.5854364771314446,2.945239900401477,3.659069505040538,3.1759679672104695,3.8255377940173565,3.760699037032057,3.736780138587028,3.7878097538653765,3.596975485425551,3.5967241478710563,3.730553582146603,3.742636508820762,3.6876554350597925,3.836209772270822,3.5957445218067856,3.791109359456389,3.7146331096088794,3.787603597043697,3.6753541339445115,3.6844706228396524,3.7050350333867765,3.7251940698365584,3.7249499470551273,3.6737025326287385,3.793456171157682,3.7189083630735245,3.6562934065754895,3.5767450188597754,3.746165630438048,3.5965953236206074,3.5963313145734066,3.7027485932373003,3.7678539422179087,3.782212700432241,3.613899992984236,3.506468340420864,3.5057733010072294,3.6205917015235953,3.609328586286972,3.7532713040064314,3.7483953282387996,3.18792359557334,3.628404207207303,3.6627359021191297,2.4994729465710517,3.29821546717886,3.6177525773019044,2.4370983680602207,2.919801735173722,3.296357402740696,3.719811886502919,3.628043429447822,3.07927944964137,3.440290491246364,3.522570928180388,3.676891857415727,3.71508575503848,3.5943815480548937,3.505630956052285,3.4723702934868954,3.4869099016801988,3.530253812117106,3.139191191311881,3.6204642011721777,3.5459998676161772,3.6017976325115253,3.6559021950201376,3.39389636429726,3.5733277793787477,3.6451777690109464,3.7173930001626547,3.6070661236035066,3.653741246440884,3.714766523171929,3.7532062783947127,3.4562117279654916,3.832125439334168,3.6530946697803555,3.4934645116039498,3.581495895578005,3.6630809954587873,3.7004376842173783,3.607464204668884,3.6065525547685344,3.732996336465034,3.8233978302513143,3.7152957303335143,3.6617627302372293,3.649116492403269,3.6825294984970096,3.6862529737902765,3.578562001139068,3.7713745263800247,3.7299596980203362,3.5491467416290545,3.782649016523725,3.613651454670662,3.7836526274878812,3.613903897615965,3.6321428897490193,3.753918160299509,3.7487438217886195,3.726013734344479,3.6058730620126074,3.8305943962881432,3.7143472099729147,3.6839827653500414,3.7910207839619052,3.6639655191871414,3.7843527715463323,3.7995440250482595,3.052255602919531,3.692953045885585,3.7002954104328643,2.6419005050010655,3.1042056224176227,2.1450183402538907,2.842163724216226,1.9705557172035024,3.4131425882204667,3.61761491558304,3.5738097911526587,3.670358870210642,3.6518084489290676,2.822591707893877,2.806674437033433,3.3811002552299736,3.214335157077055,3.19312672837553,3.251883658790928,3.018898682735815,3.446296851568183,3.7276957257943435,3.6180598973887155,3.3286265589537507,2.9764031295438875,3.5319329366568266,2.8907114457193472,2.4792719574145954,3.340983889657689,3.424836223848143,3.4307298988019572,3.005990591728861,3.406576472734096,3.63396383003046,3.6190286991922282,3.530902048818176,3.2774606799864023,3.2996709863878997,3.504397038270582,3.504590753011568,3.4869217399241554,3.654875680880371,3.7674299474877735,3.708460757755897,3.6570568022802155,3.453164111787781,3.7256403595666803,3.4440719953109022,3.747514016998003,3.6440830332233336,3.726065056238721,3.6133853423584097,3.7813697238080417,3.6363074864106966,3.4004039273650153,3.410894289111128,3.663946653799228,3.776914099176135,3.5226797774442233,3.6513435397183116,3.6903825542748523,3.734313882957897,3.696040677994359,3.6652839703763966,3.604333437045205,3.6034283563587812,3.709668557820485,3.699043529124752,3.6939377782209464,3.739216264814258,3.6757600341431673,3.635472361034723,3.7707884606849444,3.662772920334131,3.715411837617464,3.6873955316861466,3.6492814475902255,3.7618592647632614,3.508071635047914,3.6261233044166516,3.6941608278299323,3.586154894969835,3.777748980922805,3.7129267113716016,3.2933736993046208,3.3736115930698,3.783841422307832,3.6400731721464217,3.537729943307374,3.7498136457640903,3.4363510575576868,3.3527760271515095,3.7615659963036774,3.8151295075264495,3.5207939384757236,3.6043880806247146,3.745224070114061,3.8067168856733895,3.3037039962760497,3.5665715949615904,3.3990440358054954,3.261489329849066,2.5318408990429324,2.3435748358352444,2.6285925132830603,2.878177688726993,2.4582455252848567,2.7857335390159346,2.474194415617821,3.1816129637600143,3.118251710647035,3.8276782725329506,2.6931413760905962,3.814683781555863,1.9794110197760413,3.760477601502613,3.437953863720354,3.7369303966132423,3.368061317464421,3.715682242670455,3.2836975481823925,3.5035389257092677,3.0989241152201807,3.8079671807969038,3.2748629341236546,2.3105467485441604,3.2374346557992646,3.72963049282175,3.3928344904882515,2.508437847883282,3.638535662349768,3.721420986964747,3.483365659028254,3.546325747726536,3.7338336327606787,3.6082161039276244,3.6818418906081907,3.6873285809722276,2.8840983739547967,3.705273214660934,3.4041176771546007,3.4043107351601436,3.3524970289436387,3.7487770431319074,3.6139177853534847,3.5066510390513823,1.584962500721156,3.394590000298611,3.339728438829546,3.172588825989687,3.545451837519981,3.507351748042263,2.71314374451023,3.5944388510573124,3.602768426896363,3.3037824838289276,3.676298253777337,3.415770409503539,3.472219563090603,3.46621962975876,3.2750700557580545,3.647776835587141,2.702341014023458,3.8287603054955346,3.457596818255887,3.252723656122884,3.0532079459713675,2.7415892201030245,3.2125306186687133,2.9621367062201545,3.519001988468525,3.643100352864905,3.491148098052255,3.365766816339446,3.4663464404983557,3.63467268272186,3.7496255454762255,3.7135287861409787,3.7470435857334956,3.6595889270362667,3.202625000103023,3.5371038175372567,3.45939905027009,3.6828920504190865,3.6814454304111544,3.772929378905931,3.651911470608422,3.6244531982120987,3.7670437391379945,3.5653361291880645,3.7743724850554807,3.5731534112483514,3.740651199353441,3.6564393437310594,3.5701621200963465,3.695801180390034,3.865577155376025,3.6946647536968134,3.675462710029313,3.7141161316745173,3.524461018248418,3.518952611585661,3.3147130551171773,3.604054603043246,3.6961114147723353,3.6534358113629173,3.730076636799546,3.656520265177121,3.6591425857243514,3.655448962964437,3.668841793294176,3.491086766648659,3.757816328937213,3.631595930971023,3.6890461208971677,3.688651778906997,3.742405083452643,3.4891584313387445,3.4917134739572377,3.545563894179379,3.5792676144378794,3.7660583073157037,3.6943027764960927,3.427046196890797,3.5121599232132614,3.71661262568429,3.6756585881839268,3.6315950331290443,3.568730845696581,3.604595274246125,3.7710847851704,3.7370965771826614,3.362191528396637,3.597528163563161,3.5459816419536647,3.607355861883667,3.3669738898458363,3.466656547593812,3.6326023195973796,3.5220629432683754,3.5115101635673236,3.701386071866114,3.7617332478230603,2.792456772363378,2.9212234913566557,2.843820548212001,3.354137987091238,3.357193904646355,3.5042990046695874,2.1934975670601378,3.4072559940365736,3.0326005888405048,3.4304099271846176,3.326032496855088,3.320490452103807,3.0651608804172388,3.494948211133245,3.11575296587948,1.8726693569100332,3.64878527575883,3.682367259879128,3.2464395381472224,2.419372148594611,2.9061574405878496,3.296563944316255,3.624726635556181,3.7181956069004127,3.541670539111418,2.7224606170491215,3.100868709439583,3.0923689056999732,3.0384405837041806,3.0778615384449903,2.9676598329040833,3.707728631957201,3.1399831072521596,1.8016366412706077,1.584962500721156,3.4333573025558604,3.113604074295859,3.4818292094418215,2.3494839817876882,3.1103114527441686,3.7251438903577854,3.5469424088570864,3.8351758653200827,2.824044653687415,3.375377190908903,3.7011737652655166,3.4676368417199845,3.352566822670352,2.935004959761579,3.8564352984863497,3.6184261078525273,3.5915342133942776,3.380403830564134,3.446372700249991,3.4708684877168987,3.272255949334974,3.5650824542106294,3.460937979056071,2.9266913106088253,3.6114750447219754,3.1941622104582765,3.5035846402812756,3.3184961045088883,2.9562408260663298,3.2626213843116165,3.2725982646701413,2.251629167387823,3.2792804182343787,2.7504238254926165,3.5752999143023922,3.846483300382639,3.1565300170128796,3.3502654405443657,3.4929478217156666,3.411001791129784,3.2977540093432425,3.340783447815912,3.563596496611808,3.3461906506945844,3.385695429579575,3.2967350740325587,3.783163045496747,2.9387218755408675,2.3868421881310113,3.493024643876107,3.3402411822268228,3.6523620962462413,3.1048246156465664,3.261564474875703,3.5189470064157486,3.6674141469611317,3.585620839678857,3.3847647672996564,3.616078542339969,3.559398222342369,3.594230483731345,3.3687657559069533,3.058564668188449,3.330585964080745,3.7591954438185295,3.5603692771031694,3.4303652499332555,3.019294010583332,3.4962352709760274,3.5430880010161414,3.3521450340481564,3.627001165283633,3.708339350769763,3.2743750498875626,3.784957407364914,3.4279361183501913,3.793537281623735,3.5366515532990803,3.506295136853464,3.5806081079491436,3.7078598604120856,3.319028762912908,3.704082303158043,2.9943991570210335,3.6270850811396684,3.3000264220366753,3.4963570508002717,3.1602239289418517,3.2389480276703266,2.9016998556927383,3.489976815535482,3.370505616505269,3.3713826161257625,3.5087060511731503,3.7320399672339164,3.441999089200556,3.6128948814124118,2.9969379509308336,3.562715986017595,3.6906792097516607,3.380293054751943,3.432734769540927,3.3588410026775195,3.5405626547070748,3.5491229437848455,3.2418771237635653,3.513970294612125,3.599527367847069,3.6229466944889546,3.7510006009941645,3.770342106048233,3.3444689376716146,3.5334967452918025,3.5613413181242493,3.541801312912868,3.5233693913192816,3.7345216752657344,3.349737209297139,3.478100492614918,3.7127280402926197,3.611492841359166,3.8026623324229156,3.7606830738030874,3.531471605226492,3.690378262032335,3.2634228687415705,3.536962290463103,3.413114393307026,3.5782604329197323,3.560100660098295,3.6484318362032013,3.611032189501944,3.690868620826757,3.5974849493521805,3.652505534138249,3.8193830473568617,3.369221052438607,3.4756514968858894,3.6204495149497076,3.659922097258914,3.427358858162822,3.36577375375084,3.578595456710416,3.3143830130858323,3.6071422937312287,3.438422673599486,3.4416891193885646,3.2481342788938345,3.2697035825677236,3.6196570732572146,3.355479762591367,3.641209012151783,3.5343642512033213,3.4286225095645477,3.533058090570162,2.701248421937603,2.8826976687451964,2.336953705306273,3.1033406054657755,3.1605020475754566,3.1671671659124203,2.854481719754395,3.257533683954501,2.8082708345352607,3.401132052002844,3.2538013905715872,3.4138838907066424,3.527424714662737,3.562715986017595,3.120230678958019,3.4378647352967686,2.913924587933629,2.586766155339786,2.760139409026082,3.4910382274855025,2.790480818972962,3.7043852742664103,1.9182958340544896,3.7025248068628827,3.4147004336074303,3.7387304242467674,3.7381616677048797,3.4371579548615503,3.277570324033385,3.3540101243783504,2.6896901114974385,3.466100020160157,3.230954613740553,3.604811795211526,3.291146489729121,3.4324232826846512,2.9513114737863773,3.5354489947162846,2.8817951752496156,3.490387897739814,3.6020554329857877,3.6189571881544405,3.2532578887517705,3.374092480429717,2.865340186889138,2.3370193533154193,3.246048931120798,2.821027143894082,3.4305508158481803,3.6667454732467775,3.2049769572852376,3.4834916739057467,2.9900159506045942,2.7371140717562756,3.5535722452307605,2.8839093822190476,2.550376042447919,2.6501009163265743,2.6913189847734253,3.0231966836795467,3.158354341209271,2.0445569985498815,1.9182958340544896,3.265970602773329,3.6527430680298023,3.476830195158546,1.584962500721156,3.110615225310155,3.217596589486708,3.5423202787675536,2.9274676195830307,3.417882725405507,3.598752205848374,2.3991303913908,3.0542978537695333,3.5198606206451526,3.5449877286706992,2.3991303913908,3.4763205019176793,2.5492553971685,3.635262626236989,3.3677606158999573,2.506866543182522,3.2905468384215806,3.3927941815164804,3.8301949326903637,3.690742555538375,3.2959142359379654,3.12874010678494,2.4915485198790637,3.6030655886997787,3.3097280817398484,3.524275326327909,3.5934048467207975,3.1395696972769898,3.8232705537753113,3.670121406624799,3.311906829789636,3.393657368583733,2.6193057479630792,3.3119104235486083,3.2065581604734272,3.401727678869736,3.455159294885554,3.099371054162089,3.060475446522975,3.2129671263860327,3.0618579278790876,3.534595935899938,3.4879833579581176,2.7907591470963844,3.4606539132224636,3.166180404192748,3.1471989149910056,3.0903050478099,3.7138590765364645,2.8788023890812156,1.9086126988727123,3.738990211776667,3.498274424695242,2.7202320588468942,2.484697002530877,2.559175927528495,3.0083585045428767,3.046069082933745,3.0462932913104823,2.6423217108953416,3.3282311415423704,3.3865852391958153,3.3830825104228097,3.166180404192748,3.4016291440575053,3.499362933409339,3.188740355446674,3.0692785795574067,2.1258145836939115,3.0419952492918862,2.694205915355059,3.2344665427912247,2.9057645846554534,2.533775615611495,3.1343166327225807,3.0941853407214834,3.3536153316771706,3.3495588236716767,3.023359466649595,3.4092878911910143,3.1831803252359365,3.0807652936305012,3.2918834480295875,3.3526730099239654,3.06754479036844,3.038161182378291,3.008075324227178,2.215316204745374,2.774418313907282,3.3744104235486088,3.658762452833563,3.4773117564327483,3.2064995954354414,3.239874226962991,2.647707761808613,3.4394649377746034,3.4954614520130853,3.1150702060648223,3.3049198909674193,2.9809570094491518,3.3282311415423704,3.525433027928459,3.486673938799109,3.3107947579307893,3.6546400236216385,2.2651253054903266,3.10713548052225,3.5145118768329344,3.372017398100392,2.7086126988727126,2.573934896284056,3.4286225095645477,3.3444689376716137,3.473625187871936,3.3415121302344293,3.312357454579346,3.372183868203879,3.230382509898332,3.4796570290523245,2.980957009449152,3.354133962011705,3.24182924068941,3.273675846094222,3.303743793702383,3.056829099810763,3.062375906546082,3.5021659425638783,3.361355838395602,3.3666911598938367,3.1863692620444155,2.959059758531438,3.72588746778694,3.2641301123736204,2.9707604180689153,3.423476140337166,3.6269112636401286,3.5937087385622912,2.5876275189443887,3.634168756232362,3.1647004336074307,3.653989134215091,3.4516492242552475,3.108286502434239,3.6593729769870293,3.2691312426156194,3.6560015218751025,3.3212845282860304,3.4152947967104472,3.321663193368381,3.721643786150181,3.5260421218631532,3.337496942815644,3.7464709526969817,3.6018225827482575,3.5510136455984935,3.372711904357903,3.4946744474357234,3.613821899024076,3.668608748447099,3.140807279095102,3.713718267468226,3.3326171267319724,3.8149328518230416,3.5510136455984935,3.6159800709957244,3.4528182609737637,3.373232145558768,3.1138997261511836,3.2925510498212573,3.262538358183017,3.55766840203851,3.24862813004378,3.5104903020356684,2.919306020932832,3.518374207257706,3.5506191219071033,3.697663816346861,3.5184771868851747,3.5243265140066025,3.3785271364051526,2.8089883775620073,3.5608845215175458,3.06754479036844,3.3132851569022077,3.6459258722743804,3.6755483185342026,3.081624456985668,3.456803830044276,3.3884371430131277,2.4885548621928453,2.5105467485441606,3.249522550969696,2.9656523646972617,3.493765654649382,3.334879469303739,3.63719196956244,2.4885548621928453,3.5236198941327466,3.1243797591060494,3.589089795053576,3.709670875953879,3.402404149493064,3.5302166750702284,3.4200072721324415,3.424665923938981,3.5264403429506817,3.308308926309633,3.406665558669786,3.7716580046087835,3.668897375291114,3.10713548052225,3.6179634810878913,3.7077185009720273,3.797029363234186,3.4038666570319296,3.5338493676316256,3.654587477305437,3.7784158730592066,3.519004363326182,3.5260421218631532,3.4122050603444016,3.6200936717530507,2.707751647240616,3.06941463209202,3.5179631089662378,3.5187130961798516,3.4273166755735636,3.503659696874211,3.77125137748432,3.5433742477302435,3.3805765634314935,3.757533683954501,3.2542447164965367,3.5695490218357673,3.3875370522330908,3.0700072721324423,3.5542831727935096,3.6049928652716923,3.5877713050992046,3.2175965894867073,3.2033406054657756,3.3904783506035794,3.6969831639378454,3.2130237406475524,3.460473492370788,1.9086126988727123,3.4071925605847873,3.582596273588859,3.391485272900923,3.387380345401073,3.8508867256479364,2.5233199707598044,3.3649988920031193,3.4242003506211676,3.1063692620444154,3.362517918191957,3.4754696508202105,3.4840572896663415,3.1802056785153443,3.1105625607228653,3.297786285894102,3.505966736947111,3.3811672029311732,3.463562527884102,3.3911777292510448,2.704986855772667,3.13311531472912,3.0807652936305012,3.5504682031297645,3.311449721312017,3.31517388665243,3.479690407314219,2.827539248688392,3.42348655082685,3.0066788061504854,1.9086126988727123,3.2746663341372617,3.5272842455635707,3.5850199672682774,3.4492425517379837,2.8574258137630513,3.4019288903729707,2.813209829505895,2.574418313907282,3.0284313650999963,2.809955011637033,2.671108958403888,1.9086126988727123,1.584962500721156,2.83709836806022,3.4436781892114476,2.396310424640968,2.9703890505169612,3.323302231917447,2.943115239013435,3.2527474064704918,3.3224645759489526,3.0160310020785306,3.0249701876475754,3.2588868073969754,3.283746471199077,2.676908169168578,3.461100766003093,3.2992237062625396,3.058564668188449,3.4795444601806906,2.9805257432031302,3.1272238005448987,3.1724720783270506,3.4471311679806202,2.9988049216718595,3.391485272900923,3.1018488468660386,3.485402266108973,2.901363669197544,3.1839816191396557,2.8428553651686697,2.2825887305018333,3.5904759184349397,3.589331654353829,3.4233668311822494,2.6614871535590305,3.2130237406475524,2.506866543182522,3.600433004782186,3.398673371449552,3.4268932718573706,3.420792470807237,3.081871529180026,3.439342252653481,2.9867512935581506,3.6053517459775697,2.9821354805222504,3.4320491598279332,3.394144765184001,3.1105625607228653,2.9366220416075057,3.241952633632409,3.5677848511310604,3.442452320311201,2.733308929091614,3.7339663001711227,3.4768618546848646,3.258827262383068,3.237193880311756,3.06754479036844,3.3280342375752814,3.5068386978312827,3.1461432881988993,3.238356775553665,3.3435745551561986,3.7257017775634216,3.000251698427829,2.9253622773603483,2.9247419908938443,3.1476516356522763,3.0758497376046976,3.2953563685577065,2.5820311165404983,3.505308190380057,2.9715865576340854,2.752422131947789,3.377167995105466,3.609185478167093,2.1258145836939115,2.790759147096385,2.369910023274066,2.842857292808498,3.6076234926196844,3.501016473182891,3.6369534725342154,2.8608288771249426,3.4961886335849286,2.0713451397302376,2.8517008946825575,2.4229950525791284,2.2516291673878226,2.974937501201927,2.961088750969709,2.8239993086347,3.6522429114886794,2.6887218755408675,3.617161769707996,1.584962500721156,3.153107168362811,3.051017364289703,3.4036502241587523,3.265447687255014,2.9193688320938413,3.4774969821743436,2.9592839585350075,1.8910611120726528,2.9392649313368078,2.829957474844326,3.477496982174343,3.4945271946157312,2.772055208874201,2.418295834054489,2.9482376562137866,3.2898633503462134,3.0362905057783762,2.8078173151210217,3.258076495560559,3.4633891713653013,3.26825915077763,2.355388542207534,2.0922718656836103,2.838071837322886,2.819773835029478,2.5304930567574826,3.1442355660428927,2.355388542207534,2.7132162356911396,1.584962500721156,3.152813337665822,2.4410685859554375,2.8736287051460163,2.2256051990169436,2.197159723424149,3.026943634583497,2.9492553971685003,2.4410685859554375,3.4620013046373446,3.024652318106759,3.2866181039405853,3.04778745489906,3.142025516273594,3.3511901751339606,3.690661898638029,3.4266408967444266,2.5227400452149484,2.897574876695887,3.2079698104840126,3.1750787988067635,3.459596779200137,3.6393040453627257,3.0872520915136796,2.9945687308864497,2.4662478973127313,3.2027015190751857,3.1782587564532343,2.834962500721156,3.0146856417317762,3.50048548792147,3.1201110026294825,2.084962500721156,3.367142293731229,2.9193688320938413,3.3632833342948754,2.6486037302133703,3.3567241827042773,3.2712337974982226,3.552702165427174,3.582260657696229,2.6416041678685938,3.250493560008033,3.170609956930516,3.1750787988067635,2.8978887804072606,2.9965054036170082,2.418295834054489,3.346533070564215,2.7860354987605076,2.5492553971685,3.3698636284866454,3.2430087485740158,2.5304930567574826,2.8238147063331858,2.799554631071942,3.339849553953618,2.9948204868923636,2.819773835029478,2.9193688320938413,3.1397950937879773,3.187985730172778,2.0922718656836103,2.9890591895934944,3.3647315008327747,2.355388542207534,3.148913532831048,3.625003825364547,2.8715082933156206,2.7843010036617546,3.1410962285935398,3.0390131753308944,3.485810828446868,3.0146856417317762,3.209962500721156,2.7132162356911396,2.625605199016944,3.3616116103568645,2.819773835029478,2.8222649292973934,2.658680662942251,2.418295834054489,2.418295834054489,1.9182958340544896,3.0775762307422188,1.584962500721156,3.0088437168198476,3.0396330438946326,3.140512641224538,3.039013175330894,2.8222649292973934,3.284463303875926,3.1948246810983063,3.083457619775339,2.4662478973127313,3.160122686387112,2.622733639029705,3.3387386190538875,3.4024722264160117,3.2623142615653102,2.8736287051460163,1.8910611120726528,2.5521796970665487,3.303627884142108,1.8910611120726528,3.0873313066920574,2.8222649292973934,3.099581230646065,3.031651423663853,3.648360035739156,2.9492553971685003,3.2439990755163866,3.1728333099775243,3.1812412025481036,3.0088437168198476,3.0088437168198476,3.1926352996677636,3.2922718656836105,1.8910611120726528,3.592122914715511,3.4128362768532297,2.6828173151210217,2.945223352334957,3.0995812306460646,3.563446589679127,2.992720414527742,2.866247897312731,2.6531071683628116,2.819773835029478,2.819773835029478,2.9719628544813346,3.286637275767884,3.433827022152802,2.8736287051460163,2.113283334294875,3.301203046821729,3.391061112072652,3.133641911566009,2.9492553971685003,3.7726089741253137,2.113283334294875,2.9592839585350075,2.584962500721156,3.0304930567574826,2.5521796970665487,3.155608994823797,3.0304930567574817,3.026943634583497,3.083457619775339,3.6850312134641263,3.206195636817322,1.8910611120726528,2.6416041678685938,3.1812412025481036,3.3881449188285377,3.111440501696144,3.164528970150655,3.1812412025481036,3.155608994823797,2.6775003129941957,2.8222649292973934,3.1152703968800375,3.441745465473431,3.099069506181111,3.3387386190538875,3.182588730501833,3.0304930567574826,3.2312221137405936,3.692154861118254,1.8910611120726528,2.617978140453044,2.8736287051460163,2.9482376562137866,2.622733639029705,2.819773835029478,2.6688388898504307,2.2516291673878226,2.5634425677041555,2.2350331890260717,1.584962500721156,2.8287951420674817,3.2430087485740158,2.557727778739319,2.772055208874201,3.34217705015318,3.4645513724343204,3.2159220638351664,3.194773835029478,3.396709633546641,3.432402839514444,2.9954618087341474,2.622733639029705,3.2682591507776304,3.014149323879262,3.4921743360108533,3.393350702865176,2.7132162356911396,3.2592600524342994,2.4159220638351666,2.5492553971685,1.8910611120726528,2.6179781404530442,3.2222230153972626,2.084962500721156,2.799581230646065,2.7539187581803466,3.0304930567574817,2.5304930567574826,3.0510173642897036,3.0362905057783762,3.0775762307422183,2.197159723424149,2.8978887804072606,3.0088437168198476,3.0510173642897036,2.9482376562137866,3.396709633546641,1.8910611120726528,2.2516291673878226,2.7799500009615414,2.622733639029705,2.9886873418533297,3.0510173642897036,3.26825915077763,3.081195636817322,3.293164214858805,3.063990902225966,2.8736287051460163,3.3632833342948754,2.748190855223319,2.7497406322591122,3.4735261430296576,2.6828173151210217,2.355388542207534,3.445382844105811,3.594904448967617,3.2079210292757696,2.819773835029478,3.1603457579647016,3.7239768780513756,2.781937063546704,3.122020675186663,3.596763194563293,3.44744465874213,3.0600246439421595,2.7539187581803466,3.133641911566009,3.5134111897456344,3.4094437377200832,3.4074082005824478,3.111440501696144,3.8134849013958645,3.0362905057783762,2.882588730501834,1.584962500721156,3.380613246022508,3.477390510207075,2.9492553971685003,2.084962500721156,3.147961449640642,2.8978887804072606,1.8910611120726528,3.6231966836795464,2.905513124873876,3.308412132140097,2.2256051990169436,2.8736287051460163,3.4281132520570377,2.6828173151210217,3.063990902225966,2.725480556997868,2.781937063546704,2.5274955437916096,2.866247897312731,2.9193688320938413,3.493209169543614,3.2222230153972626,2.6586806629422512,2.947392522926828,3.2432314287976207,3.1198904133448537,3.2229887762623135,3.2565300170128797,3.3361738624063992,3.031651423663853,3.6231966836795455,2.197159723424149,2.9589385323502766,2.1971597234241496,2.9592839585350075,3.5740748672491143,3.298517580528206,3.3930618151257184,3.6102963226608122,3.1198904133448537,2.834962500721156,2.4662478973127313,3.1664651196311078,2.355388542207534,3.0961419134643946,3.0577277787393187,3.026943634583497,3.2079210292757696,3.425509379502262,3.659258786209888,3.026943634583497,3.36647689270943,3.4735261430296576,3.3203168908254193,2.998930521405425,3.445382844105811,3.408531464932964,3.104469088386603,2.084962500721156,1.8910611120726528,3.492713510417106,2.6828173151210217,3.5112320289356242,3.0304930567574826,3.323196683679547,3.603507953224671,3.193254422633469,2.8715082933156206,3.0362905057783762,3.2159220638351664,3.206195636817322,3.258938532350277,3.468371349852937,3.194185076703557,2.8855130303998813,3.5675300937945194,3.3457316552461287,2.819773835029478,2.8222649292973934,3.5281071683628102,3.549011575276001,2.8715082933156206,2.084962500721156,3.077177622274777,3.342953685589725,2.89227186568361,3.6556482647360697,3.593202305566796,3.1948246810983063,3.230677486171947,3.241654808988993,3.04778745489906,2.9749375012019263,3.5602803504483354,3.4590226336859113,2.9589385323502766,3.1198904133448537,2.084962500721156,3.4455819737065516,3.08725209151368,3.2599288244274782,2.945223352334957,2.4662478973127313,3.2340403673728164,3.3159220638351674,3.3058630759777987,3.306105293386588,3.3640763078793414,3.4387218755408684,3.399405832611558,3.4324028395144444,3.625255078789777,3.3709800833445733,3.126629167387823,3.122862303483989,2.6586806629422512,3.4774969821743436,3.5152450809080333,3.478327587351481,3.5890368585523293,3.5370378302120775,3.375872446380974,3.279196409311132,3.547938977171248,1.584962500721156,3.444394948656537,3.1812412025481036,3.4081859965117762,3.2771197861402115,3.293164214858805,3.197159723424149,3.2898633503462134,3.2312221137405936,2.8222649292973934,2.625605199016944,2.6688388898504307,3.602770337214929,2.866247897312731,3.206195636817322,2.9920139962755843,3.2407352769864644,3.0563268462078037,3.340475627064562,3.1397950937879773,3.2872593659239957,2.992720414527742,2.7497406322591122,3.4147026136178926,3.3729663772279657,2.9647738275522104,3.2565300170128797,2.355388542207534,2.8736287051460163,2.772598264670142,3.0088437168198476,2.827025535001665,2.735282872053068,3.212159185770264,2.4662478973127313,2.781937063546704,3.2222230153972626,3.5441316156159246,3.44309102234834,2.9193688320938413,2.7132162356911396,2.8736287051460163,2.6682958340544896,3.4242815526885835,3.323196683679547,3.526587755966802,3.306105293386588,3.424281552688583,3.511974538238964,2.834962500721156,3.5264336008271617,3.4777498581861126,3.245264771497309,3.412529742644465,3.258076495560559,3.3528565765845415,3.527708559656228,3.0875725570604278,3.228182792681446,3.2407352769864644,3.0088437168198476,3.2761104043867495,3.349898095464288,3.1750787988067635,3.3967759010374894,3.1198904133448537,2.9193688320938413,2.945947084901045,3.3974013427626457,3.1348711391327275,2.9492553971685003,3.323196683679547,1.8910611120726528,3.3216770533714874,3.313985623500096,2.992720414527742,3.201519590711955,2.084962500721156,2.9321143539216816,3.425509379502262,3.147961449640642,3.5825325572540616,3.2734008407350252,3.4754795755681114,3.0600246439421595,3.1664651196311078,2.7152703968800376,2.8082708345352607,3.352566822670352,3.4581255671494606,3.599752807728938,3.3013735952750607,3.444394948656537,1.8910611120726528,3.1750787988067635,3.1397950937879773,3.234196760461186,2.987206979219409,2.658680662942251,2.8222649292973934,3.344166979660861,2.753918758180346,2.9589385323502766,3.2875783129602114,2.834962500721156,3.524249736560691,3.248626072569858,3.2015195907119542,3.2283421419317144,3.130634354362319,2.9851627711755544,2.7364405016961446,3.105388542207534,3.30318410662097,3.419523243251209,3.282588730501833,2.355388542207534,3.367724126300264,2.8736287051460163,3.170609956930516,3.2576517685215065,3.206195636817322,3.2407352769864644,2.355388542207534,2.563442567704156,2.332914563979398,2.6416041678685938,3.1664651196311078,2.7492553971684996,2.7497406322591122,2.355388542207534,2.5492553971685,2.0922718656836103,2.8222649292973934,3.063990902225966,3.3051468724810564,2.6421811268165176,3.4331810157403657,3.2898633503462134,2.355388542207534,3.5084121321400974,2.197159723424149,3.2191487716474576,3.4121284754008143,2.5521796970665487,1.9182958340544896,3.0510173642897036,1.584962500721156,2.622733639029705,2.197159723424149,1.584962500721156,2.5994839817876887,1.8910611120726528,2.9410685859554366,2.6416041678685938,3.724394445405986,3.099069506181111,2.866247897312731,2.9513114737863773,3.099069506181111,1.8910611120726528,3.155255464769938,1.584962500721156,1.584962500721156,2.084962500721156,2.8067778399516414,2.355388542207534,1.8910611120726528,2.9592839585350075,2.6486037302133703,2.944773835029478,2.661208797978994,1.584962500721156,2.6416041678685938,2.682588730501833,2.862333395507197,3.013747211832477,3.374470009963892,3.1397950937879773,2.7254805569978684,2.7684928819175183,3.1851859783602254,3.008843716819847,2.882588730501834,2.992720414527742,3.130634354362319,3.008843716819847,3.0875725570604278,2.834962500721156,3.099069506181111,2.7132162356911396,3.1750787988067635,3.258076495560559,2.758938532350277,3.8428149214795515,2.4159220638351666,2.9193688320938413,2.332914563979398,3.0396330438946326,2.5016291673878235,2.998930521405425,1.8910611120726528,3.0838725318884257,3.3881449188285377,3.2222230153972626,3.026943634583497,2.8855130303998813,2.7132162356911396,3.2099087772429615,3.1348711391327275,2.9392649313368078,1.584962500721156,2.945223352334957,2.7132162356911396,3.281328376956157,2.332914563979398,2.975661583301446,3.855879084206128,2.7497406322591122,3.3827770710534164,2.89227186568361,3.162303904437445,1.8910611120726528,1.8910611120726528,3.356356778164105,2.084962500721156,2.332914563979398,3.0686162053864012,2.998930521405425,2.6416041678685938,2.9482376562137866,2.2256051990169436,2.751629167387823,2.819773835029478,3.372597349445814,3.2682591507776304,3.4282958177093743,2.197159723424149,3.164528970150655,2.4255093795022624,2.332914563979398,3.479158027234618,2.6828173151210217,2.871056984481621,3.212159185770264,3.5740748672491143,2.084962500721156,2.8222649292973934,3.2170427091145863,2.905513124873876,1.8910611120726528,3.599326085473416,2.751629167387823,1.584962500721156,3.6318509138615394,3.1198904133448537,3.0444871515196152,3.2825887305018338,3.323196683679547,1.584962500721156,2.838071837322886,2.799554631071942,3.3256051990169437,3.508847170761848,3.130634354362319,2.799554631071942,2.8222649292973934,2.1971597234241496,3.273239586511926,2.9266913106088257,2.084962500721156,3.636035498760508,2.7132162356911396,2.5304930567574826,2.9193688320938413,3.34217705015318,3.2477083832208957,2.995461808734148,3.3097531118075105,3.177071466472018,2.753918758180346,2.8978887804072606,2.772055208874201,2.355388542207534,1.584962500721156,3.3930618151257184,3.542183228330558,2.723694943055694,2.9927204145277417,3.657863674511201,2.7492553971684996,3.4861899099178753,3.1781627454969295,3.0304930567574817,2.084962500721156,1.584962500721156,3.5516700517585873,3.1300558380319683,2.7168597161107644,3.099069506181111,2.9927204145277417,3.122544902027047,3.026943634583497,2.7132162356911396,3.374470009963892,2.799581230646065,1.9182958340544896,3.2823346243667553,3.318364135686617,2.2243944454059865,3.251782097314757,2.8218154294552926,3.850110167432648,3.282588730501833,1.8910611120726528,2.5274955437916096,3.051017364289703,3.368125635187173,3.458043865155469,3.1198904133448537,2.4662478973127313,3.4044752448993423,3.466079528095467,2.2256051990169436,1.584962500721156,3.513329288070044,2.6887218755408675,3.431305772173264,1.8910611120726528,2.4662478973127313,2.355388542207534,2.5492553971685,3.429898095464287,1.584962500721156,1.8910611120726528,2.5227400452149484,3.2320112312622795,1.584962500721156,3.4077083832208954,2.8638263900908156,3.1185612255936896,3.630055838031968,3.254872072194553,3.084962500721156,3.4094437377200824,3.04174546547343,2.6416041678685938,2.758938532350277,2.6828173151210217,2.8287951420674817,3.1948246810983063,3.3554797625913677,3.209791037518826,2.5492553971685,3.3543905900744733,3.3640763078793414,2.4410685859554375,3.308178646530613,3.26825915077763,3.189906253178593,3.04778745489906,3.162303904437445,1.9182958340544896,2.5492553971685,2.985008454496325,2.6421811268165176,1.584962500721156,3.427897514044844,1.9182958340544896,2.9589385323502766,1.584962500721156,2.862333395507197,1.8910611120726528,3.0722713657258063,3.099069506181111,2.897574876695887,2.355388542207534,2.355388542207534,1.9182958340544896,2.355388542207534,2.6828173151210217,2.0922718656836103,2.4159220638351666,2.2516291673878226,2.599581230646064,3.0533264751338023,3.0198900191410676,1.584962500721156,2.522055208874201,3.0256051990169435,2.9719628544813346,2.522055208874201,2.66329080817766,1.584962500721156,2.522055208874201,2.7799500009615414,2.903107168362811,2.4193819456463714,2.896339003371467,1.584962500721156,1.584962500721156,2.251629167387823,3.30827083453526,2.584962500721156,2.522055208874201,2.522055208874201,2.9477027792200907,1.584962500721156,2.113283334294875,1.9182958340544896,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,2.113283334294875,1.584962500721156,2.752715278979705,2.2516291673878226,2.4193819456463714,2.584962500721156,2.8491568534184415,2.682588730501833,2.522055208874201,1.9182958340544896,2.7799500009615414,1.584962500721156,1.584962500721156,3.402783110759241,2.808454330929235,2.903107168362811,2.2516291673878226,2.682588730501833,2.584962500721156,2.584962500721156,2.903107168362811,1.584962500721156,2.682588730501833,1.584962500721156,2.9719628544813346,2.4193819456463714,2.584962500721156,1.584962500721156,1.9182958340544896,2.7661506484543548,3.0256051990169435,2.986035498760508,2.7799500009615414,3.6231328850475633,1.584962500721156,2.251629167387823,1.584962500721156,2.682588730501833,3.167509460963901,2.113283334294875,2.4193819456463714,2.522055208874201,1.584962500721156,1.584962500721156,2.113283334294875,2.4466166676282084,1.584962500721156,1.9182958340544896,2.4193819456463714,2.752715278979705,1.584962500721156,2.4193819456463714,1.9182958340544896,1.584962500721156,2.2516291673878226,2.113283334294875,1.584962500721156,2.584962500721156,1.584962500721156,1.584962500721156,3.6065893869806596,1.584962500721156,3.0159220638351667,1.584962500721156,1.584962500721156,2.251629167387823,2.4193819456463714,2.918295834054489,2.584962500721156,1.584962500721156,2.4193819456463714,2.4193819456463714,1.584962500721156,3.447142293731229,1.584962500721156,2.251629167387823,2.986035498760508,3.465863075977799,2.584962500721156,3.150351557463162,2.2516291673878226,1.584962500721156,3.2799509632609745,1.584962500721156,2.522055208874201,2.584962500721156,1.584962500721156,2.7799500009615414,2.7799500009615414,3.182490186751775,1.584962500721156,2.7799500009615414,1.9182958340544896,1.584962500721156,2.2516291673878226,2.2516291673878226,3.0159220638351667,1.584962500721156,2.522055208874201,2.8491568534184415,3.182490186751775,1.584962500721156,2.113283334294875,2.4193819456463714,2.599581230646064,2.2516291673878226,1.584962500721156,1.584962500721156,2.4193819456463714,1.9182958340544896,1.584962500721156,1.9182958340544896,2.113283334294875,2.113283334294875,2.251629167387823,2.808454330929235,3.0513050676011337,2.752715278979705,2.9477027792200907,1.584962500721156,2.113283334294875,1.9182958340544896,2.251629167387823,1.584962500721156,1.9182958340544896,1.584962500721156,1.9182958340544896,2.4193819456463714,2.2516291673878226,2.522055208874201,1.584962500721156,1.584962500721156,2.251629167387823,2.2516291673878226,2.584962500721156,2.2516291673878226,3.296297089471336,1.584962500721156,1.9182958340544896,2.584962500721156,2.4193819456463714,1.9182958340544896,2.9719628544813346,2.682588730501833,2.4193819456463714,1.584962500721156,2.522055208874201,1.584962500721156,2.7799500009615414,2.4193819456463714,1.584962500721156,2.522055208874201,2.4193819456463714,1.9182958340544896,2.9661191854799362,1.584962500721156,2.113283334294875,1.584962500721156,2.4466166676282084,2.4193819456463714,2.113283334294875,3.5849625007211556,2.7799500009615414,2.918295834054489,1.584962500721156,3.2516291673878226,2.522055208874201,1.584962500721156,3.4047730402669214,2.682588730501833,2.584962500721156,3.138854608342479,3.0694497774259077,1.9182958340544896,2.584962500721156,1.584962500721156,1.584962500721156,2.7799500009615414,2.584962500721156,2.113283334294875,2.4193819456463714,1.9182958340544896,1.9182958340544896,1.9182958340544896,2.66329080817766,2.522055208874201,1.584962500721156,2.752715278979705,1.584962500721156,1.9182958340544896,2.9719628544813346,1.584962500721156,1.584962500721156,2.2516291673878226,1.584962500721156,3.6408616585652545,1.9182958340544896,1.9182958340544896,1.584962500721156,2.584962500721156,2.7799500009615414,2.522055208874201,1.584962500721156,2.918295834054489,1.9182958340544896,2.6632908081776603,3.0256051990169435,3.187414141407024,2.2516291673878226,1.584962500721156,2.682588730501833,2.903107168362811,1.9182958340544896,1.9182958340544896,1.9182958340544896,2.4193819456463714,2.8491568534184415,2.4193819456463714,1.9182958340544896,3.7028579967637105,3.5977706109996266,2.682588730501833,1.584962500721156,1.9182958340544896,2.2516291673878226,1.584962500721156,2.682588730501833,1.9182958340544896,1.584962500721156,2.9477027792200907,2.4193819456463714,1.584962500721156,3.2169752448993423,2.682588730501833,1.584962500721156,2.584962500721156,2.682588730501833,2.808454330929235,2.4193819456463714,1.584962500721156,2.752715278979705,2.682588730501833,2.2516291673878226,2.4193819456463714,2.251629167387823,2.599581230646064,2.584962500721156,3.296297089471336,2.584962500721156,2.918295834054489,2.2516291673878226,3.150351557463162,1.584962500721156,1.584962500721156,1.9182958340544896,2.7799500009615414,2.113283334294875,2.599581230646064,3.0198900191410676,3.3866598084671353,2.903107168362811,2.584962500721156,2.113283334294875,2.4193819456463714,2.584962500721156,1.584962500721156,1.9182958340544896,1.584962500721156,2.7799500009615414,1.9182958340544896,2.7799500009615414,2.7661506484543548,2.4193819456463714,2.682588730501833,1.584962500721156,1.9182958340544896,2.8486037302133704,2.584962500721156,2.4466166676282084,2.4466166676282084,2.8491568534184415,1.584962500721156,2.522055208874201,2.4193819456463714,2.682588730501833,2.2516291673878226,3.1152729535080175,3.0533264751338023,2.9966241415109924,2.6632908081776603,2.522055208874201,1.584962500721156,2.251629167387823,1.584962500721156,1.9182958340544896,1.584962500721156,2.682588730501833,3.0782256858655486,2.113283334294875,2.682588730501833,2.682588730501833,2.9661191854799362,2.9477027792200907,2.752715278979705,2.3589385323502774,1.9182958340544896,2.8963390033714673,2.113283334294875,2.682588730501833,2.2516291673878226,3.520747474740358,1.9182958340544896,2.4193819456463714,2.584962500721156,2.7661506484543548,2.918295834054489,2.584962500721156,2.918295834054489,2.584962500721156,2.522055208874201,1.584962500721156,2.7179717342678003,2.9477027792200907,2.113283334294875,2.113283334294875,2.752715278979705,3.2799509632609745,1.9182958340544896,2.682588730501833,1.584962500721156,1.584962500721156,3.1132833342948745,2.918295834054489,2.7799500009615414,2.4193819456463714,2.4193819456463714,2.584962500721156,1.9182958340544896,1.584962500721156,2.903107168362811,2.113283334294875,2.599581230646064,2.584962500721156,1.584962500721156,1.584962500721156,2.113283334294875,2.986035498760508,1.584962500721156,2.522055208874201,1.584962500721156,2.6632908081776603,2.918295834054489,3.024903138327775,1.584962500721156,2.599581230646064,2.7799500009615414,2.682588730501833,2.2516291673878226,2.2516291673878226,1.584962500721156,3.0159220638351667,2.752715278979705,2.2516291673878226,2.7179717342678003,2.599581230646064,1.9182958340544896,1.584962500721156,2.4193819456463714,2.599581230646064,2.5207474747403578,1.9182958340544896,2.7661506484543548,2.599581230646064,2.932914563979398,2.9719628544813346,2.682588730501833,2.8491568534184415,1.584962500721156,2.251629167387823,2.6632908081776603,2.599581230646064,1.9182958340544896,1.584962500721156,2.113283334294875,1.9182958340544896,2.2516291673878226,1.584962500721156,1.584962500721156,3.2195232432512086,2.113283334294875,2.113283334294875,3.0256051990169435,3.0860486123130384,1.9182958340544896,1.9182958340544896,1.584962500721156,1.584962500721156,2.7661506484543548,3.1661396132377186,2.251629167387823,2.808454330929235,2.522055208874201,2.808454330929235,3.279950963260975,1.584962500721156,1.9182958340544896,2.4193819456463714,2.4193819456463714,2.2516291673878226,2.5207474747403578,1.9182958340544896,2.4193819456463714,1.584962500721156,2.522055208874201,2.2516291673878226,2.8491568534184415,2.4193819456463714,2.4193819456463714,2.7799500009615414,2.7799500009615414,3.0198900191410676,1.584962500721156,2.682588730501833,1.584962500721156,2.9477027792200907,2.113283334294875,2.6632908081776603,2.903107168362811,1.9182958340544896,1.584962500721156,1.584962500721156,2.809356946127142,2.251629167387823,3.0159220638351667,2.4193819456463714,3.444944943690199,2.2516291673878226,1.584962500721156,2.599581230646064,2.2516291673878226,2.599581230646064,2.522055208874201,2.4193819456463714,2.6632908081776603,2.682588730501833,3.0256051990169435,2.8963390033714673,1.9182958340544896,1.584962500721156,3.1417876642625675,2.9477027792200907,3.0159220638351667,1.9182958340544896,2.2516291673878226,2.7179717342678003,2.6632908081776603,2.918295834054489,1.9182958340544896,2.918295834054489,1.584962500721156,2.808454330929235,2.682588730501833,1.584962500721156,2.903107168362811,2.948856927977939,2.903107168362811,2.522055208874201,2.584962500721156,3.0256051990169435,3.0694497774259077,2.682588730501833,2.808454330929235,1.9182958340544896,1.9182958340544896,2.2516291673878226,2.4193819456463714,3.0050458109311364,1.584962500721156,1.584962500721156,1.9182958340544896,1.9182958340544896,1.584962500721156,2.8491568534184415,2.251629167387823,1.584962500721156,1.584962500721156,2.7799500009615414,1.584962500721156,2.903107168362811,2.4193819456463714,1.584962500721156,1.584962500721156,2.9661191854799362,2.3589385323502774,1.584962500721156,3.0159220638351667,2.522055208874201,2.584962500721156,1.584962500721156,1.9182958340544896,1.584962500721156,2.682588730501833,2.584962500721156,1.9182958340544896,2.8491568534184415,1.584962500721156,3.150351557463162,1.584962500721156,1.9182958340544896,2.5207474747403578,1.584962500721156,1.584962500721156,3.1887218755408675,2.903107168362811,2.522055208874201,1.584962500721156,1.584962500721156,2.808454330929235,2.522055208874201,1.584962500721156,1.584962500721156,3.1132833342948745,2.808454330929235,2.522055208874201,2.251629167387823,2.932914563979398,2.2516291673878226,2.903107168362811,1.584962500721156,2.113283334294875,1.9182958340544896,2.7527152789797054,2.808454330929235,2.4193819456463714,1.584962500721156,3.3008529247684386,2.918295834054489,1.584962500721156,2.599581230646064,1.584962500721156,1.584962500721156,2.4193819456463714,2.4193819456463714,2.2516291673878226,2.4466166676282084,2.2516291673878226,2.113283334294875,2.584962500721156,1.584962500721156,1.9182958340544896,3.35653001701288,2.4193819456463714,2.4193819456463714,2.599581230646064,2.4193819456463714,2.4193819456463714,3.3052961878146676,2.682588730501833,1.584962500721156,2.4193819456463714,2.4193819456463714,2.7179717342678003,1.584962500721156,2.6632908081776603,2.752715278979705,1.584962500721156,2.2516291673878226,1.584962500721156,1.584962500721156,1.584962500721156,2.2516291673878226,2.855388542207534,2.599581230646064,2.4193819456463714,2.4466166676282084,2.599581230646064,3.2810361125534233,1.9182958340544896,2.584962500721156,2.2516291673878226,3.182490186751775,3.167509460963901,2.599581230646064,1.584962500721156,2.4193819456463714,2.584962500721156,2.584962500721156,2.2516291673878226,1.584962500721156,3.0503760424479194,2.4193819456463714,2.599581230646064,1.584962500721156,1.584962500721156,2.599581230646064,1.9182958340544896,2.584962500721156,1.584962500721156,2.113283334294875,2.599581230646064,1.584962500721156,2.3589385323502774,2.7527152789797054,1.584962500721156,3.0159220638351667,2.251629167387823,1.9182958340544896,1.584962500721156,2.7661506484543548,1.584962500721156,1.9182958340544896,1.584962500721156,2.4193819456463714,1.9182958340544896,2.4193819456463714,2.7799500009615414,2.682588730501833,2.2516291673878226,1.9182958340544896,2.682588730501833,2.113283334294875,1.584962500721156,2.855388542207534,1.584962500721156,2.682588730501833,2.6416041678685938,1.584962500721156,2.4193819456463714,1.584962500721156,1.9182958340544896,1.584962500721156,1.584962500721156,2.7799500009615414,3.336961217475441,2.2516291673878226,1.584962500721156,2.4193819456463714,1.9182958340544896,2.251629167387823,2.4193819456463714,2.251629167387823,2.2516291673878226,2.903107168362811,2.4193819456463714,2.4193819456463714,1.584962500721156,3.519519647926679,1.9182958340544896,2.4193819456463714,1.584962500721156,2.2516291673878226,2.8491568534184415,2.8491568534184415,2.3589385323502774,1.584962500721156,3.535045045336846,3.209825643205026,2.584962500721156,3.6676050052023514,2.4193819456463714,1.9182958340544896,1.9182958340544896,1.9182958340544896,2.8491568534184415,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,2.7661506484543548,3.0860486123130375,2.599581230646064,1.584962500721156,1.584962500721156,1.9182958340544896,2.5207474747403578,1.584962500721156,3.0159220638351667,1.9182958340544896,2.4193819456463714,2.2516291673878226,1.584962500721156,2.855388542207534,1.584962500721156,2.584962500721156,1.584962500721156,1.584962500721156,3.3282519341570502,3.0256051990169435,1.9182958340544896,3.142690279460475,2.808454330929235,2.682588730501833,3.3052961878146676,1.584962500721156,2.682588730501833,2.6632908081776603,2.918295834054489,1.584962500721156,1.9182958340544896,1.584962500721156,2.4193819456463714,2.4193819456463714,2.4193819456463714,2.808454330929235,2.682588730501833,2.4193819456463714,2.113283334294875,2.522055208874201,1.9182958340544896,1.9182958340544896,1.584962500721156,1.584962500721156,2.4193819456463714,2.113283334294875,2.682588730501833,3.0159220638351667,2.584962500721156,3.138854608342479,1.9182958340544896,2.113283334294875,2.8491568534184415,2.113283334294875,1.9182958340544896,1.584962500721156,2.113283334294875,2.251629167387823,1.584962500721156,3.150351557463162,2.4193819456463714,2.113283334294875,3.0694497774259077,2.4193819456463714,1.9182958340544896,2.113283334294875,2.8491568534184415,2.4193819456463714,2.903107168362811,1.9182958340544896,1.584962500721156,3.0860486123130384,2.2516291673878226,2.682588730501833,3.56743921076335,2.682588730501833,1.584962500721156,2.522055208874201,2.808454330929235,1.9182958340544896,2.682588730501833,3.150351557463162,2.94770277922009,2.6632908081776603,3.2109095640755525,1.584962500721156,2.2516291673878226,3.238777130513722,2.903107168362811,1.9182958340544896,1.584962500721156,3.0782256858655486,2.4193819456463714,2.8491568534184415,2.9719628544813346,2.932914563979398,2.7799500009615414,1.584962500721156,1.9182958340544896,1.9182958340544896,1.9182958340544896,3.1132833342948745,2.584962500721156,2.682588730501833,2.8491568534184415,1.584962500721156,3.333605299826451,2.7661506484543548,3.150351557463162,3.0694497774259077,2.522055208874201,2.4193819456463714,2.8491568534184415,1.9182958340544896,2.66329080817766,3.2364405016961446,2.4193819456463714,2.8491568534184415,1.584962500721156,2.855388542207534,3.3282519341570502,2.584962500721156,2.522055208874201,3.0503760424479194,2.522055208874201,3.1065729198452594,2.94770277922009,2.2516291673878226,3.182490186751775,2.808454330929235,2.113283334294875,2.4193819456463714,3.150351557463162,1.584962500721156,1.9182958340544896,2.9661191854799362,2.682588730501833,2.2516291673878226,3.0503760424479194,2.8963390033714673,1.9182958340544896,3.187414141407024,1.9182958340544896,2.4193819456463714,3.0694497774259077,2.986035498760508,1.584962500721156,2.918295834054489,2.2516291673878226,3.1065729198452594,2.522055208874201,3.0533264751338023,1.584962500721156,3.4027831107592412,3.0198900191410676,2.8963390033714673,3.138854608342479,3.150351557463162,2.808454330929235,3.0256051990169435,3.167509460963901,3.0860486123130384,2.903107168362811,1.584962500721156,1.584962500721156,2.584962500721156,2.7179717342678003,2.584962500721156,2.9719628544813346,2.8872593659239962,1.584962500721156,2.4193819456463714,2.4193819456463714,1.9182958340544896,1.9182958340544896,2.584962500721156,3.358938532350277,2.8491568534184415,2.7799500009615414,2.584962500721156,2.918295834054489,2.855388542207534,3.2596725750971243,2.599581230646064,2.682588730501833,1.584962500721156,2.2516291673878226,2.251629167387823,2.4193819456463714,1.9182958340544896,2.8491568534184415,3.3052961878146676,1.584962500721156,2.4193819456463714,1.9182958340544896,2.522055208874201,3.535045045336846,2.4193819456463714,3.167509460963901,1.9182958340544896,2.94770277922009,3.0694497774259077,3.0694497774259077,2.2516291673878226,2.8491568534184415,2.8486037302133704,2.2516291673878226,2.113283334294875,3.2195232432512086,1.584962500721156,2.9719628544813346,1.584962500721156,2.8491568534184415,2.918295834054489,2.4193819456463714,2.599581230646064,2.9719628544813346,2.8491568534184415,3.3686389359731206,2.599581230646064,3.779532433606931,1.584962500721156,3.4399062531785924,2.752715278979705,1.584962500721156,2.8846053692407603,3.150351557463162,2.8491568534184415,1.584962500721156,2.4193819456463714,2.113283334294875,2.4193819456463714,2.4193819456463714,1.9182958340544896,1.584962500721156,2.9719628544813346,2.682588730501833,1.584962500721156,2.9477027792200907,1.584962500721156,2.8491568534184415,2.2516291673878226,3.187414141407024,2.4193819456463714,3.0694497774259077,2.113283334294875,1.584962500721156,3.3686389359731206,1.9182958340544896,2.9719628544813346,2.682588730501833,2.4193819456463714,1.584962500721156,2.584962500721156,1.584962500721156,3.0159220638351667,2.113283334294875,2.2516291673878226,3.0533264751338023,3.2195232432512086,1.584962500721156,3.0860486123130384,2.4193819456463714,3.0533264751338023,2.932914563979398,2.522055208874201,3.150351557463162,3.0159220638351667,2.251629167387823,3.150351557463162,2.522055208874201,3.3282519341570502,1.9182958340544896,2.3589385323502774,2.2516291673878226,3.664935806353637,2.4193819456463714,1.9182958340544896,1.584962500721156,3.0694497774259077,3.0860486123130375,2.903107168362811,1.9182958340544896,3.0256051990169435,2.4193819456463714,2.584962500721156,2.7527152789797054,2.682588730501833,2.2516291673878226,3.422047322372095,2.682588730501833,2.7179717342678003,1.584962500721156,2.918295834054489,1.584962500721156,3.138854608342479,2.2516291673878226,2.3589385323502774,2.9719628544813346,3.0159220638351667,2.4193819456463714,2.9719628544813346,3.1715483868298153,2.2516291673878226,3.43142800193653,3.0694497774259077,1.9182958340544896,1.9182958340544896,2.9719628544813346,1.584962500721156,2.682588730501833,2.6632908081776603,2.584962500721156,3.30827083453526,2.113283334294875,2.4193819456463714,3.0256051990169435,2.2516291673878226,1.9182958340544896,1.584962500721156,3.3052961878146676,1.584962500721156,2.66329080817766,2.855388542207534,2.7799500009615414,2.682588730501833,3.465863075977799,2.2516291673878226,2.808454330929235,2.4193819456463714,3.1065729198452594,3.2109095640755525,2.2516291673878226,1.584962500721156,2.8491568534184415,1.9182958340544896,1.584962500721156,1.9182958340544896,2.113283334294875,1.584962500721156,2.8491568534184415,3.1065729198452594,3.106572919845259,3.150351557463162,2.2516291673878226,1.9182958340544896,2.682588730501833,2.682588730501833,2.9719628544813346,1.584962500721156,2.855388542207534,1.584962500721156,3.0694497774259077,1.584962500721156,3.191611641751378,2.8491568534184415,3.1065729198452594,1.584962500721156,2.522055208874201,3.2478623034839886,1.584962500721156,3.3174223436650006,1.584962500721156,1.9182958340544896,2.752715278979705,2.584962500721156,2.7527152789797054,2.584962500721156,3.2810361125534233,1.584962500721156,3.187414141407024,2.2516291673878226,3.0159220638351667,2.7799500009615414,1.584962500721156,2.4193819456463714,2.2516291673878226,2.8491568534184415,2.251629167387823,3.0256051990169435,2.2516291673878226,2.7527152789797054,1.9182958340544896,3.35653001701288,2.7799500009615414,2.682588730501833,2.682588730501833,3.0256051990169435,2.9477027792200907,2.4193819456463714,1.584962500721156,2.522055208874201,1.584962500721156,2.522055208874201,2.9719628544813346,2.2516291673878226,3.4721879416758124,3.0256051990169435,2.113283334294875,2.599581230646064,2.522055208874201,1.584962500721156,2.522055208874201,2.752715278979705,2.599581230646064,3.4565647621309536,2.584962500721156,3.333605299826451,2.113283334294875,2.2516291673878226,3.425695140793018,3.7897656297117313,2.599581230646064,1.584962500721156,1.9182958340544896,2.903107168362811,1.584962500721156,2.4193819456463714,2.113283334294875,2.522055208874201,2.682588730501833,2.682588730501833,2.4193819456463714,1.584962500721156,2.8491568534184415,2.682588730501833,2.4193819456463714,2.4193819456463714,3.0533264751338023,2.9719628544813346,2.522055208874201,2.682588730501833,1.584962500721156,1.9182958340544896,3.0159220638351667,1.584962500721156,1.9182958340544896,3.0503760424479194,2.4193819456463714,2.7799500009615414,2.522055208874201,3.0694497774259077,2.4193819456463714,2.2516291673878226,2.113283334294875,2.2516291673878226,2.522055208874201,2.4193819456463714,1.584962500721156,2.8963390033714673,1.584962500721156,2.4193819456463714,3.422047322372095,2.682588730501833,1.9182958340544896,1.584962500721156,1.584962500721156,2.682588730501833,1.584962500721156,2.584962500721156,2.4193819456463714,1.584962500721156,3.0256051990169435,2.66329080817766,2.522055208874201,2.986035498760508,2.808454330929235,2.808454330929235,1.584962500721156,2.2516291673878226,1.584962500721156,2.4193819456463714,2.2516291673878226,3.138854608342479,1.584962500721156,1.584962500721156,1.584962500721156,2.7527152789797054,2.2516291673878226,3.333605299826451,1.584962500721156,1.584962500721156,2.682588730501833,1.9182958340544896,2.4193819456463714,2.682588730501833,1.584962500721156,1.584962500721156,1.584962500721156,2.986035498760508,2.4193819456463714,3.182490186751775,2.584962500721156,2.8491568534184415,1.584962500721156,1.584962500721156,2.918295834054489,2.7799500009615414,2.682588730501833,1.584962500721156,3.278096467872261,1.584962500721156,2.599581230646064,2.2516291673878226,2.522055208874201,2.903107168362811,1.584962500721156,3.336961217475441,2.2516291673878226,2.584962500721156,2.9477027792200907,3.43142800193653,1.584962500721156,2.896339003371467,2.4193819456463714,2.903107168362811,2.4193819456463714,2.7799500009615414,2.599581230646064,3.024903138327775,2.6632908081776603,2.584962500721156,2.599581230646064,2.903107168362811,2.682588730501833,3.6065893869806596,2.4193819456463714,3.0159220638351667,3.0694497774259077,2.599581230646064,2.9719628544813346,3.462777071053416,1.9182958340544896,1.584962500721156,3.3492553971685,2.8491568534184415,2.4193819456463714,2.8491568534184415,1.584962500721156,3.1132833342948745,2.113283334294875,1.584962500721156,2.522055208874201,2.8491568534184415,1.584962500721156,2.584962500721156,2.113283334294875,3.2364405016961446,2.4193819456463714,3.2109095640755525,3.167509460963901,2.7381063736002558,2.7527152789797054,2.7799500009615414,3.0159220638351667,2.855388542207534,3.403520341945719,2.752715278979705,2.522055208874201,3.3818561991786806,2.9719628544813346,3.167509460963901,2.7527152789797054,3.0533264751338023,2.4193819456463714,3.355166919665573,1.9182958340544896,3.0694497774259077,3.2109095640755525,2.6632908081776603,3.333605299826451,1.9182958340544896,2.113283334294875,3.0159220638351667,1.584962500721156,2.8491568534184415,3.1152729535080175,2.808454330929235,3.3818561991786806,2.8846053692407603,1.584962500721156,2.2516291673878226,3.0256051990169435,2.2516291673878226,2.522055208874201,2.4193819456463714,3.3774776869921603,2.7527152789797054,1.584962500721156,1.584962500721156,2.2516291673878226,2.4193819456463714,2.9477027792200907,2.6632908081776603,1.584962500721156,3.2195232432512086,2.918295834054489,2.903107168362811,2.855388542207534,2.8491568534184415,1.584962500721156,1.584962500721156,2.682588730501833,1.9182958340544896,3.1132833342948745,1.584962500721156,3.2109095640755525,2.8491568534184415,2.8491568534184415,1.584962500721156,1.584962500721156,2.522055208874201,1.9182958340544896,1.9182958340544896,1.9182958340544896,1.584962500721156,2.903107168362811,1.9182958340544896,1.9182958340544896,2.682588730501833,2.4193819456463714,3.50292842506914,1.584962500721156,2.7381063736002558,3.0694497774259077,1.9182958340544896,2.2516291673878226,3.141787664262568,2.584962500721156,3.150351557463162,2.9477027792200907,3.138854608342479,1.584962500721156,1.584962500721156,2.9719628544813346,3.1715483868298153,2.4193819456463714,2.9477027792200907,3.0694497774259077,2.584962500721156,1.584962500721156,2.682588730501833,2.7179717342678003,1.584962500721156,2.251629167387823,1.584962500721156,2.2516291673878226,2.9719628544813346,3.024903138327775,1.584962500721156,1.584962500721156,2.4466166676282084,1.584962500721156,2.4193819456463714,3.0533264751338023,2.4193819456463714,3.150351557463162,3.3367751645029533,1.584962500721156,1.584962500721156,1.584962500721156,1.9182958340544896,2.2516291673878226,2.682588730501833,2.682588730501833,3.627860527949064,2.599581230646064,2.522055208874201,1.584962500721156,2.522055208874201,2.251629167387823,1.584962500721156,2.4193819456463714,2.7799500009615414,2.2516291673878226,1.584962500721156,1.584962500721156,2.8491568534184415,1.584962500721156,1.584962500721156,1.9182958340544896,1.9182958340544896,2.2516291673878226,1.9182958340544896,1.584962500721156,2.4193819456463714,1.9182958340544896,2.7179717342678003,2.522055208874201,1.584962500721156,2.855388542207534,2.918295834054489,2.2516291673878226,1.584962500721156,2.3589385323502774,1.9182958340544896,3.0694497774259077,1.9182958340544896,3.2478623034839886,2.903107168362811,2.2516291673878226,1.584962500721156,1.584962500721156,3.6231328850475633,2.4193819456463714,2.522055208874201,1.584962500721156,1.9182958340544896,1.584962500721156,2.584962500721156,1.584962500721156,3.711139294100744,1.584962500721156,1.9182958340544896,3.3052961878146676,2.522055208874201,1.9182958340544896,2.113283334294875,1.9182958340544896,2.522055208874201,1.584962500721156,2.2516291673878226,2.682588730501833,1.9182958340544896,1.584962500721156,2.522055208874201,1.584962500721156,2.4193819456463714,2.4193819456463714,1.9182958340544896,1.584962500721156,2.9477027792200907,2.522055208874201,2.4193819456463714,2.682588730501833,3.2109095640755525,2.4193819456463714,1.584962500721156,1.584962500721156,2.7527152789797054,1.584962500721156,2.752715278979705,2.2516291673878226,3.3967799230124602,2.682588730501833,1.9182958340544896,2.6416041678685938,1.584962500721156,3.0694497774259077,1.9182958340544896,1.584962500721156,2.522055208874201,1.584962500721156,1.9182958340544896,1.584962500721156,2.903107168362811,1.584962500721156,1.9182958340544896,3.2364405016961446,3.150351557463162,2.7799500009615414,1.584962500721156,3.0533264751338023,2.584962500721156,1.9182958340544896,1.9182958340544896,3.138854608342479,2.903107168362811,2.113283334294875,2.2516291673878226,1.9182958340544896,1.584962500721156,1.584962500721156,2.2516291673878226,2.113283334294875,1.9182958340544896,1.584962500721156,1.584962500721156,1.9182958340544896,2.522055208874201,1.584962500721156,2.113283334294875,2.7527152789797054,1.584962500721156,1.584962500721156,3.489390213421358,1.9182958340544896,3.43142800193653,3.150351557463162,3.462777071053416,2.522055208874201,2.4193819456463714,2.113283334294875,3.333605299826451,2.2516291673878226,2.113283334294875,2.584962500721156,2.2516291673878226,2.522055208874201,3.1065729198452594,2.522055208874201,3.355166919665573,1.584962500721156,2.2516291673878226,2.6632908081776603,2.682588730501833,3.0159220638351667,2.918295834054489,2.808454330929235,3.2732560536473265,1.584962500721156,2.8491568534184415,2.903107168362811,1.9182958340544896,1.584962500721156,2.2516291673878226,3.6262881048232476,1.584962500721156,2.94770277922009,1.9182958340544896,3.187414141407024,1.9182958340544896,1.9182958340544896,1.584962500721156,1.584962500721156,1.584962500721156,1.9182958340544896,2.4193819456463714,2.6632908081776603,1.584962500721156,2.682588730501833,1.9182958340544896,2.2516291673878226,2.8486037302133704,3.0533264751338023,2.903107168362811,3.3174223436650006,3.30827083453526,2.918295834054489,2.4193819456463714,2.113283334294875,2.682588730501833,1.584962500721156,2.599581230646064,3.50292842506914,2.9719628544813346,2.522055208874201,3.0198900191410676,2.7799500009615414,2.584962500721156,1.9182958340544896,3.3052961878146676,3.0159220638351667,2.113283334294875,2.251629167387823,2.599581230646064,2.2516291673878226,2.113283334294875,1.584962500721156,1.9182958340544896,1.584962500721156,1.584962500721156,2.599581230646064,2.4193819456463714,2.4193819456463714,2.3589385323502774,1.584962500721156,2.8491568534184415,1.9182958340544896,2.2516291673878226,2.584962500721156,1.584962500721156,2.2516291673878226,1.584962500721156,1.584962500721156,1.584962500721156,2.2516291673878226,1.584962500721156,1.584962500721156,1.584962500721156,2.2516291673878226,1.584962500721156,3.3174223436650006,1.9182958340544896,1.9182958340544896,2.8491568534184415,2.7799500009615414,1.9182958340544896,1.9182958340544896,2.251629167387823,1.584962500721156,2.2516291673878226,1.584962500721156,1.584962500721156,2.7799500009615414,2.4193819456463714,3.2516291673878226,1.9182958340544896,2.599581230646064,1.584962500721156,1.584962500721156,2.2516291673878226,1.9182958340544896,2.2516291673878226,1.584962500721156,1.584962500721156,1.584962500721156,3.3866598084671353,2.599581230646064,2.4466166676282084,2.4193819456463714,2.809356946127142,2.7527152789797054,1.9182958340544896,1.584962500721156,1.584962500721156,3.0159220638351667,2.7799500009615414,2.113283334294875,2.4193819456463714,1.9182958340544896,2.9719628544813346,2.8491568534184415,3.2478623034839886,2.808454330929235,2.2516291673878226,1.584962500721156,3.5442428974088855,1.584962500721156,1.584962500721156,1.9182958340544896,1.9182958340544896,1.584962500721156,2.2516291673878226,3.0694497774259077,2.2516291673878226,2.7179717342678003,2.251629167387823,1.584962500721156,2.8491568534184415,2.2516291673878226,1.9182958340544896,1.584962500721156,2.599581230646064,2.7661506484543548,1.584962500721156,2.4193819456463714,2.2516291673878226,2.251629167387823,1.9182958340544896,1.584962500721156,1.584962500721156,1.9182958340544896,2.113283334294875,1.9182958340544896,1.9182958340544896,2.752715278979705,1.584962500721156,2.251629167387823,1.584962500721156,1.9182958340544896,2.4193819456463714,2.251629167387823,2.752715278979705,1.584962500721156,3.0533264751338023,1.584962500721156,2.584962500721156,2.2516291673878226,2.113283334294875,2.113283334294875,2.682588730501833,3.1661396132377186,2.7527152789797054,1.9182958340544896,2.4193819456463714,1.584962500721156,2.7527152789797054,1.584962500721156,1.9182958340544896,2.94770277922009,2.4193819456463714,2.918295834054489,2.896339003371467,3.0533264751338023,3.30827083453526,1.9182958340544896,2.113283334294875,2.986035498760508,2.251629167387823,2.5207474747403578,2.8491568534184415,2.6632908081776603,1.584962500721156,2.2516291673878226,2.522055208874201,3.0159220638351667,3.6231328850475633,2.113283334294875,1.9182958340544896,3.333605299826451,3.2109095640755525,2.3589385323502774,2.932914563979398,1.584962500721156,1.9182958340544896,2.2516291673878226,2.113283334294875,2.752715278979705,2.4193819456463714,1.9182958340544896,2.113283334294875,2.113283334294875,2.599581230646064,2.855388542207534,2.251629167387823,2.7527152789797054,2.251629167387823,2.752715278979705,1.584962500721156,1.584962500721156,2.113283334294875,1.9182958340544896,2.4193819456463714,2.682588730501833,1.584962500721156,2.4193819456463714,2.903107168362811,1.584962500721156,2.599581230646064,2.918295834054489,1.9182958340544896,2.113283334294875,2.584962500721156,1.9182958340544896,2.113283334294875,3.0256051990169435,2.522055208874201,2.4193819456463714,3.0533264751338023,1.584962500721156,1.9182958340544896,3.2195232432512086,1.9182958340544896,1.584962500721156,2.7799500009615414,3.0860486123130384,1.584962500721156,2.918295834054489,1.584962500721156,2.9719628544813346,2.251629167387823,3.279950963260975,1.9182958340544896,2.7799500009615414,2.6632908081776603,1.9182958340544896,2.113283334294875,2.682588730501833,3.138854608342479,3.6676050052023514,2.4193819456463714,2.4193819456463714,2.113283334294875,2.9719628544813346,2.2516291673878226,2.522055208874201,1.584962500721156,2.66329080817766,2.9477027792200907,1.584962500721156,2.2516291673878226,1.9182958340544896,2.9477027792200907,1.9182958340544896,2.584962500721156,1.9182958340544896,2.522055208874201,1.9182958340544896,1.584962500721156,2.4193819456463714,2.809356946127142,1.584962500721156,1.584962500721156,3.3967799230124602,3.0860486123130384,3.2195232432512086,1.9182958340544896,1.584962500721156,2.4193819456463714,2.4193819456463714,3.0694497774259077,2.7527152789797054,1.9182958340544896,1.9182958340544896,2.522055208874201,1.584962500721156,2.7799500009615414,1.584962500721156,2.682588730501833,2.682588730501833,3.0256051990169435,2.522055208874201,1.584962500721156,3.0256051990169435,1.584962500721156,1.9182958340544896,2.113283334294875,2.932914563979398,1.9182958340544896,2.3589385323502774,2.113283334294875,1.584962500721156,2.682588730501833,2.7527152789797054,2.94770277922009,3.0694497774259077,2.4193819456463714,1.584962500721156,1.584962500721156,1.584962500721156,1.9182958340544896,2.251629167387823,3.024903138327775,1.584962500721156,2.522055208874201,2.4466166676282084,2.2516291673878226,2.584962500721156,2.682588730501833,2.113283334294875,2.6632908081776603,2.2516291673878226,2.113283334294875,1.9182958340544896,1.584962500721156,2.113283334294875,2.2516291673878226,2.855388542207534,2.522055208874201,2.4193819456463714,2.94770277922009,2.2516291673878226,3.278096467872261,1.584962500721156,1.9182958340544896,1.584962500721156,2.522055208874201,1.584962500721156,2.599581230646064,1.584962500721156,1.584962500721156,1.584962500721156,3.1661396132377186,2.584962500721156,2.4193819456463714,2.6632908081776603,2.4193819456463714,2.113283334294875,1.9182958340544896,2.752715278979705,2.2516291673878226,1.584962500721156,1.584962500721156,1.584962500721156,3.0198900191410676,2.7799500009615414,3.182490186751775,1.9182958340544896,1.584962500721156,1.9182958340544896,3.138854608342479,2.584962500721156,1.584962500721156,2.7179717342678003,2.6632908081776603,1.584962500721156,1.584962500721156,2.903107168362811,2.584962500721156,1.584962500721156,2.2516291673878226,1.584962500721156,2.808454330929235,1.584962500721156,1.584962500721156,1.9182958340544896,1.9182958340544896,2.94770277922009,2.4193819456463714,1.9182958340544896,1.9182958340544896,1.584962500721156,2.522055208874201,1.9182958340544896,1.584962500721156,2.251629167387823,2.113283334294875,3.0860486123130384,2.4193819456463714,2.113283334294875,2.7661506484543548,1.9182958340544896,2.113283334294875,2.2516291673878226,1.9182958340544896,2.599581230646064,2.4193819456463714,3.6065893869806596,1.584962500721156,1.584962500721156,2.4193819456463714,2.4193819456463714,1.584962500721156,1.584962500721156,3.355166919665573,2.2516291673878226,2.6632908081776603,1.9182958340544896,2.4193819456463714,1.9182958340544896,2.4193819456463714,2.2516291673878226,1.584962500721156,1.584962500721156,2.251629167387823,1.584962500721156,3.0256051990169435,1.9182958340544896,1.584962500721156,2.113283334294875,2.7179717342678003,2.2516291673878226,1.9182958340544896,2.522055208874201,2.7799500009615414,2.584962500721156,1.584962500721156,1.9182958340544896,2.4193819456463714,1.584962500721156,2.251629167387823,2.522055208874201,1.584962500721156,3.0694497774259077,3.0694497774259077,2.599581230646064,1.9182958340544896,1.9182958340544896,1.9182958340544896,2.682588730501833,2.918295834054489,3.6866248809885267,1.584962500721156,2.4193819456463714,1.9182958340544896,1.584962500721156,2.522055208874201,1.9182958340544896,2.752715278979705,3.355166919665573,2.9719628544813346,2.2516291673878226,3.0159220638351667,1.584962500721156,1.584962500721156,2.4193819456463714,1.9182958340544896,1.9182958340544896,2.113283334294875,2.8491568534184415,1.584962500721156,2.584962500721156,3.2596725750971234,2.903107168362811,2.3589385323502774,1.9182958340544896,2.251629167387823,2.599581230646064,1.9182958340544896,2.66329080817766,1.9182958340544896,1.584962500721156,3.106572919845259,2.4193819456463714,2.4193819456463714,3.106572919845259,2.3589385323502774,2.113283334294875,3.444944943690199,1.9182958340544896,3.3193688320938413,2.918295834054489,1.584962500721156,2.94770277922009,2.752715278979705,1.584962500721156,2.2516291673878226,2.6416041678685938,2.522055208874201,1.584962500721156,1.9182958340544896,2.584962500721156,1.584962500721156,2.4193819456463714,2.4193819456463714,3.3193688320938413,3.150351557463162,2.4193819456463714,1.584962500721156,1.584962500721156,2.584962500721156,2.522055208874201,2.682588730501833,1.584962500721156,2.522055208874201,2.752715278979705,2.4193819456463714,1.584962500721156,2.2516291673878226,3.0256051990169435,2.113283334294875,2.682588730501833,2.7527152789797054,1.9182958340544896,1.9182958340544896,3.333605299826451,2.251629167387823,3.106572919845259,2.808454330929235,2.682588730501833,1.584962500721156,2.932914563979398,1.584962500721156,2.682588730501833,2.932914563979398,1.584962500721156,1.584962500721156,1.584962500721156,2.94770277922009,1.9182958340544896,2.682588730501833,2.4193819456463714,1.584962500721156,2.9477027792200907,2.584962500721156,1.584962500721156,2.584962500721156,1.584962500721156,1.584962500721156,1.9182958340544896,1.584962500721156,2.7527152789797054,1.584962500721156,2.599581230646064,1.584962500721156,1.9182958340544896,1.584962500721156,1.9182958340544896,1.9182958340544896,1.9182958340544896,1.584962500721156,2.7179717342678003,1.584962500721156,2.2516291673878226,2.808454330929235,1.584962500721156,3.0860486123130375,2.9719628544813346,1.584962500721156,1.584962500721156,3.5995397085636025,2.682588730501833,2.9719628544813346,1.584962500721156,2.113283334294875,1.9182958340544896,2.6632908081776603,2.682588730501833,1.584962500721156,2.855388542207534,1.9182958340544896,1.584962500721156,1.584962500721156,2.113283334294875,2.2516291673878226,3.167509460963901,1.9182958340544896,2.4193819456463714,1.9182958340544896,2.4193819456463714,2.522055208874201,2.522055208874201,2.2516291673878226,1.584962500721156,2.808454330929235,1.584962500721156,3.182490186751775,2.113283334294875,2.808454330929235,2.599581230646064,2.2516291673878226,1.584962500721156,2.4193819456463714,1.584962500721156,2.2516291673878226,2.4193819456463714,2.4193819456463714,2.522055208874201,2.8491568534184415,1.584962500721156,2.682588730501833,2.113283334294875,2.2516291673878226,2.2516291673878226,3.0503760424479194,1.584962500721156,2.7527152789797054,3.30827083453526,3.0256051990169435,2.4193819456463714,2.584962500721156,2.682588730501833,1.584962500721156,2.8486037302133704,2.113283334294875,2.2516291673878226,1.584962500721156,2.584962500721156,1.584962500721156,1.9182958340544896,1.9182958340544896,2.682588730501833,2.855388542207534,2.2516291673878226,2.7799500009615414,1.584962500721156,2.8491568534184415,2.3589385323502774,1.584962500721156,3.0694497774259077,1.584962500721156,2.986035498760508,1.584962500721156,1.9182958340544896,2.251629167387823,1.584962500721156,1.9182958340544896,1.584962500721156,2.7799500009615414,2.918295834054489,2.522055208874201,1.9182958340544896,1.584962500721156,1.584962500721156,2.599581230646064,2.584962500721156,1.584962500721156,1.584962500721156,1.9182958340544896,1.9182958340544896,1.584962500721156,2.4193819456463714,1.584962500721156,1.9182958340544896,2.8872593659239962,1.584962500721156,1.584962500721156,2.522055208874201,1.584962500721156,1.584962500721156,2.2516291673878226,2.599581230646064,1.584962500721156,2.113283334294875,2.2516291673878226,1.584962500721156,2.682588730501833,3.0533264751338023,1.9182958340544896,1.584962500721156,1.584962500721156,2.809356946127142,2.7799500009615414,1.584962500721156,3.259072560751753,1.584962500721156,1.584962500721156,2.113283334294875,2.522055208874201,1.9182958340544896,3.1065729198452594,1.584962500721156,1.584962500721156,2.4193819456463714,2.986035498760508,2.599581230646064,2.4193819456463714,1.584962500721156,1.584962500721156,1.584962500721156,2.2516291673878226,2.251629167387823,1.584962500721156,1.9182958340544896,2.4193819456463714,2.986035498760508,2.599581230646064,1.584962500721156,1.9182958340544896,2.584962500721156,3.106572919845259,2.94770277922009,1.584962500721156,3.1933579772754928,1.584962500721156,1.584962500721156,2.7799500009615414,1.584962500721156,2.522055208874201,3.0694497774259077,1.9182958340544896,3.0533264751338023,2.7661506484543548,3.0533264751338023,1.9182958340544896,1.9182958340544896,1.584962500721156,2.2516291673878226,2.4193819456463714,2.4193819456463714,1.9182958340544896,2.682588730501833,2.2516291673878226,1.584962500721156,2.599581230646064,2.7799500009615414,2.918295834054489,2.584962500721156,3.5694443535153337,1.584962500721156,2.8486037302133704,2.682588730501833,1.9182958340544896,3.2195232432512086,2.113283334294875,2.7179717342678003,2.522055208874201,2.682588730501833,3.150351557463162,2.4193819456463714,2.8491568534184415,3.56743921076335,3.30827083453526,2.4193819456463714,2.4193819456463714,2.522055208874201,2.2516291673878226,1.584962500721156,2.4193819456463714,2.94770277922009,2.113283334294875,1.9182958340544896,2.682588730501833,2.6632908081776603,2.4193819456463714,1.584962500721156,2.113283334294875,3.3967799230124602,3.296297089471336,1.9182958340544896,3.0860486123130384,2.9719628544813346,1.584962500721156,1.584962500721156,2.251629167387823,3.0159220638351667,2.2516291673878226,1.584962500721156,2.8846053692407603,1.584962500721156,1.584962500721156,2.682588730501833,3.2478623034839886,2.7179717342678003,1.584962500721156,2.4193819456463714,3.425695140793018,1.584962500721156,2.932914563979398,3.138854608342479,2.986035498760508,2.251629167387823,1.584962500721156,3.0159220638351667,1.584962500721156,1.584962500721156,1.9182958340544896,2.3589385323502774,1.584962500721156,2.7799500009615414,3.3492553971684997,2.113283334294875,2.522055208874201,2.682588730501833,2.682588730501833,1.584962500721156,1.584962500721156,1.584962500721156,1.9182958340544896,3.0256051990169435,1.584962500721156,1.584962500721156,1.584962500721156,1.9182958340544896,2.251629167387823,1.584962500721156,1.584962500721156,1.584962500721156,2.9477027792200907,2.8491568534184415,2.113283334294875,2.4193819456463714,1.584962500721156,1.9182958340544896,2.584962500721156,2.4193819456463714,2.4193819456463714,1.584962500721156,1.9182958340544896,2.4466166676282084,3.563412015583419,3.8791077724598124,2.808454330929235,3.4372792271601846,2.5207474747403578,3.403571490706663,3.30827083453526,3.0159220638351667,3.2516291673878226,1.9182958340544896,2.4193819456463714,2.682588730501833,2.4193819456463714,1.584962500721156,2.522055208874201,2.4193819456463714,2.9719628544813346,2.808454330929235,2.8491568534184415,2.7799500009615414,2.7527152789797054,2.599581230646064,2.9719628544813346,1.9182958340544896,2.8491568534184415,3.0694497774259077,2.8491568534184415,2.9719628544813346,3.355166919665573,2.113283334294875,2.918295834054489,1.584962500721156,2.2516291673878226,2.2516291673878226,2.2516291673878226,1.9182958340544896,3.6262881048232476,2.855388542207534,1.584962500721156,1.584962500721156,1.9182958340544896,1.9182958340544896,2.918295834054489,1.9182958340544896,2.9477027792200907,2.113283334294875,1.584962500721156,1.584962500721156,1.9182958340544896,1.9182958340544896,1.9182958340544896,2.7527152789797054,2.8491568534184415,1.584962500721156,2.9778249169539825,1.584962500721156,2.8491568534184415,2.8491568534184415,1.584962500721156,2.113283334294875,2.522055208874201,2.599581230646064,2.7179717342678003,1.584962500721156,1.9182958340544896,1.584962500721156,2.752715278979705,2.903107168362811,1.9182958340544896,1.9182958340544896,3.7688451369148397,1.584962500721156,1.584962500721156,2.4193819456463714,1.9182958340544896,2.7799500009615414,1.584962500721156,1.9182958340544896,1.584962500721156,3.447142293731229,1.9182958340544896,1.9182958340544896,2.113283334294875,1.9182958340544896,1.9182958340544896,2.584962500721156,2.682588730501833,2.918295834054489,3.3967799230124602,1.9182958340544896,2.808454330929235,3.5002836880550534,1.9182958340544896,2.7527152789797054,3.462777071053416,3.3774776869921603,3.2288853005890776,2.599581230646064,2.7179717342678003,2.113283334294875,1.584962500721156,1.584962500721156,1.584962500721156,2.2516291673878226,1.584962500721156,1.584962500721156,2.2516291673878226,1.584962500721156,1.584962500721156,2.4193819456463714,1.9182958340544896,1.9182958340544896,2.855388542207534,2.2516291673878226,2.903107168362811,1.584962500721156,1.9182958340544896,2.2516291673878226,1.584962500721156,1.584962500721156,1.584962500721156,2.682588730501833,2.7527152789797054,2.584962500721156,2.4466166676282084,2.522055208874201,1.584962500721156,2.113283334294875,1.584962500721156,2.9719628544813346,2.2516291673878226,1.584962500721156,1.584962500721156,2.4193819456463714,1.9182958340544896,2.522055208874201,1.584962500721156,2.682588730501833,2.599581230646064,1.9182958340544896,2.113283334294875,1.584962500721156,1.9182958340544896,2.7799500009615414,2.3589385323502774,2.2516291673878226,2.584962500721156,1.584962500721156,2.855388542207534,2.3589385323502774,2.808454330929235,2.4193819456463714,1.584962500721156,2.113283334294875,1.584962500721156,1.584962500721156,3.150351557463162,2.94770277922009,3.0198900191410676,2.113283334294875,2.7799500009615414,3.0198900191410676,2.918295834054489,2.4193819456463714,2.113283334294875,1.9182958340544896,2.113283334294875,1.584962500721156,2.809356946127142,1.584962500721156,1.9182958340544896,1.9182958340544896,1.9182958340544896,1.9182958340544896,2.2516291673878226,2.5207474747403578,2.7799500009615414,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.9182958340544896,1.584962500721156,1.9182958340544896,2.113283334294875,1.584962500721156,2.4193819456463714,1.584962500721156,1.9182958340544896,1.584962500721156,1.584962500721156,2.522055208874201,1.584962500721156,3.0694497774259077,1.9182958340544896,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],\"coloraxis\":\"coloraxis\",\"pattern\":{\"shape\":\"\"}},\"name\":\"\",\"offsetgroup\":\"\",\"orientation\":\"v\",\"showlegend\":false,\"textposition\":\"auto\",\"x\":[\"g__Faecalibacterium;s__Faecalibacterium prausnitzii\",\"g__Hungatella;s__Hungatella hathewayi\",\"g__Clostridium;s__uncultured Clostridium sp.\",\"g__Butyricimonas;s__Butyricimonas virosa\",\"g__Alistipes;s__Alistipes indistinctus\",\"g__Unclassified;s__Firmicutes bacterium CAG:176\",\"g__Clostridium;s__Clostridium sp. CAG:7\",\"g__Unclassified;s__Firmicutes bacterium CAG:882\",\"g__Lachnoclostridium;s__[Clostridium] asparagiforme\",\"g__Butyricicoccus;s__uncultured Butyricicoccus sp.\",\"g__Unclassified;s__Firmicutes bacterium CAG:95\",\"g__Oscillibacter;s__Oscillibacter sp. ER4\",\"g__Desulfovibrio;s__Desulfovibrio piger\",\"g__Fusobacterium;s__Fusobacterium mortiferum\",\"g__Clostridium;s__Clostridium sp. GD3\",\"g__Unclassified;s__Firmicutes bacterium CAG:124\",\"g__Unclassified;s__Burkholderiales bacterium YL45\",\"g__Ruminococcus;s__Ruminococcus callidus\",\"g__Flavonifractor;s__uncultured Flavonifractor sp.\",\"g__Subdoligranulum;s__Subdoligranulum variabile\",\"g__Clostridium;s__Clostridium sp. CAG:127\",\"g__Clostridium;s__Clostridium sp. CAG:510\",\"g__Phascolarctobacterium;s__Phascolarctobacterium sp. CAG:207\",\"g__Eubacterium;s__Eubacterium sp. CAG:38\",\"g__Eubacterium;s__Eubacterium sp. CAG:192\",\"g__Clostridium;s__Clostridium sp. CAG:242\",\"g__Roseburia;s__Roseburia sp. CAG:380\",\"g__Ruminococcus;s__Ruminococcus sp. CAG:254\",\"g__Prevotella;s__Prevotella copri\",\"g__Unclassified;s__Firmicutes bacterium CAG:110\",\"g__Ruminococcus;s__uncultured Ruminococcus sp.\",\"g__Clostridium;s__Clostridium sp. CAG:75\",\"g__Lachnoclostridium;s__[Clostridium] bolteae\",\"g__Prevotella;s__Prevotella sp. CAG:1092\",\"g__Holdemanella;s__Holdemanella biformis\",\"g__Prevotella;s__Prevotella sp. CAG:279\",\"g__Dialister;s__Dialister succinatiphilus\",\"g__Eubacterium;s__Eubacterium sp. CAG:252\",\"g__Alistipes;s__Alistipes sp. CAG:268\",\"g__Ruminococcus;s__Ruminococcus lactaris\",\"g__Eubacterium;s__Eubacterium sp. CAG:202\",\"g__Faecalibacterium;s__Faecalibacterium sp. CAG:74\",\"g__Clostridium;s__Clostridium sp. CAG:277\",\"g__Prevotella;s__Prevotella sp. CAG:1058\",\"g__Roseburia;s__Roseburia inulinivorans\",\"g__Phascolarctobacterium;s__Phascolarctobacterium sp. CAG:266\",\"g__Akkermansia;s__Akkermansia sp. CAG:344\",\"g__Prevotella;s__Prevotella sp. CAG:1031\",\"g__Eubacterium;s__Eubacterium sp. CAG:156\",\"g__Clostridium;s__Clostridium sp. CAG:299\",\"g__Sutterella;s__Sutterella parvirubra\",\"g__Mycoplasma;s__Mycoplasma sp. CAG:472\",\"g__Megasphaera;s__Megasphaera sp. DJF_B143\",\"g__Eubacterium;s__Eubacterium sp. CAG:786\",\"g__Unclassified;s__Firmicutes bacterium CAG:137\",\"g__Escherichia;s__Escherichia coli\",\"g__Unclassified;s__Firmicutes bacterium CAG:103\",\"g__Unclassified;s__[Eubacterium] rectale\",\"g__Clostridium;s__Clostridium sp. CAG:62\",\"g__Roseburia;s__Roseburia intestinalis\",\"g__Coprobacillus;s__Coprobacillus sp. CAG:605\",\"g__Bacteroides;s__Bacteroides fragilis\",\"g__Eubacterium;s__Eubacterium ventriosum\",\"g__Clostridium;s__Clostridium sp. CAG:43\",\"g__Bilophila;s__Bilophila wadsworthia\",\"g__Unclassified;s__Firmicutes bacterium CAG:313\",\"g__Ruminococcus;s__Ruminococcus sp. CAG:488\",\"g__Clostridium;s__Clostridium sp. CAG:245\",\"g__Clostridium;s__Clostridium sp. CAG:451\",\"g__Clostridium;s__Clostridium sp. CAG:269\",\"g__Clostridium;s__Clostridium sp. CAG:58\",\"g__Eubacterium;s__Eubacterium sp. CAG:86\",\"g__Eubacterium;s__[Eubacterium] eligens\",\"g__Ruminiclostridium;s__[Eubacterium] siraeum\",\"g__Faecalibacterium;s__Faecalibacterium sp. CAG:82\",\"g__Clostridium;s__Clostridium sp. CAG:417\",\"g__Roseburia;s__Roseburia sp. CAG:197\",\"g__Bifidobacterium;s__Bifidobacterium adolescentis\",\"g__Bacteroides;s__Bacteroides vulgatus\",\"g__Odoribacter;s__Odoribacter splanchnicus\",\"g__Bacteroides;s__Bacteroides uniformis\",\"g__Eubacterium;s__Eubacterium sp. CAG:248\",\"g__Phascolarctobacterium;s__Phascolarctobacterium succinatutens\",\"g__Bacteroides;s__Bacteroides thetaiotaomicron\",\"g__Clostridium;s__Clostridium sp. KLE 1755\",\"g__Unclassified;s__Firmicutes bacterium CAG:345\",\"g__Clostridium;s__Clostridium sp. AT5\",\"g__Bacteroides;s__Bacteroides stercoris\",\"g__Clostridium;s__Clostridium sp. CAG:302\",\"g__Bacteroides;s__Bacteroides ovatus\",\"g__Unclassified;s__Lachnospiraceae bacterium TF01-11\",\"g__Unclassified;s__Firmicutes bacterium CAG:129\",\"g__Blautia;s__[Ruminococcus] torques\",\"g__Sutterella;s__Sutterella sp. CAG:397\",\"g__Unclassified;s__Firmicutes bacterium CAG:170\",\"g__Parabacteroides;s__Parabacteroides merdae\",\"g__Oscillibacter;s__Oscillibacter sp. CAG:241\",\"g__Prevotella;s__Prevotella sp. KHD1\",\"g__Prevotella;s__Prevotella copri CAG:164\",\"g__Clostridium;s__Clostridium sp. CAG:343\",\"g__Dorea;s__Dorea longicatena\",\"g__Unclassified;s__Firmicutes bacterium CAG:460\",\"g__Faecalibacterium;s__uncultured Faecalibacterium sp.\",\"g__Bacteroides;s__Bacteroides salyersiae\",\"g__Alistipes;s__Alistipes putredinis\",\"g__Clostridium;s__Clostridium sp. CAG:226\",\"g__Bacteroides;s__Bacteroides sp. CAG:754\",\"g__Unclassified;s__Firmicutes bacterium CAG:102\",\"g__Eubacterium;s__Eubacterium sp. CAG:180\",\"g__Coprococcus;s__Coprococcus comes\",\"g__Clostridium;s__Clostridium sp. CAG:253\",\"g__Bacteroides;s__Bacteroides plebeius\",\"g__Roseburia;s__Roseburia hominis\",\"g__Bacteroides;s__Bacteroides intestinalis CAG:315\",\"g__Intestinimonas;s__Intestinimonas butyriciproducens\",\"g__Flavonifractor;s__Flavonifractor plautii\",\"g__Paraprevotella;s__Paraprevotella xylaniphila\",\"g__Blautia;s__Blautia obeum\",\"g__Clostridium;s__Clostridium sp. CAG:798\",\"g__Bacteroides;s__Bacteroides cellulosilyticus\",\"g__Unclassified;s__Firmicutes bacterium CAG:321\",\"g__Bacteroides;s__Bacteroides clarus CAG:160\",\"g__Fusicatenibacter;s__Fusicatenibacter saccharivorans\",\"g__Roseburia;s__Roseburia faecis\",\"g__Sutterella;s__Sutterella wadsworthensis\",\"g__Eubacterium;s__uncultured Eubacterium sp.\",\"g__Bacteroides;s__Bacteroides coprophilus\",\"g__Clostridium;s__Clostridium sp. CAG:217\",\"g__Megamonas;s__Megamonas funiformis\",\"g__Bacteroides;s__Bacteroides finegoldii\",\"g__Coprococcus;s__Coprococcus eutactus\",\"g__Clostridium;s__Clostridium sp. CAG:508\",\"g__Unclassified;s__Firmicutes bacterium CAG:83\",\"g__Bacteroides;s__Bacteroides plebeius CAG:211\",\"g__Alistipes;s__Candidatus Alistipes marseilloanorexicus\",\"g__Alistipes;s__Alistipes finegoldii\",\"g__Streptococcus;s__Streptococcus thermophilus\",\"g__Unclassified;s__Firmicutes bacterium CAG:341\",\"g__Prevotella;s__Prevotella stercorea\",\"g__Unclassified;s__Lentisphaerae bacterium GWF2_44_16\",\"g__Azospirillum;s__Azospirillum sp. CAG:260\",\"g__Odoribacter;s__Odoribacter splanchnicus CAG:14\",\"g__Unclassified;s__Clostridia bacterium UC5.1-1D10\",\"g__Alloprevotella;s__Alloprevotella tannerae\",\"g__Coprobacillus;s__Coprobacillus sp. CAG:235\",\"g__Bacteroides;s__Bacteroides caccae\",\"g__Clostridium;s__Clostridium sp. CAG:138\",\"g__Eubacterium;s__Eubacterium sp. CAG:274\",\"g__Dialister;s__Dialister sp. CAG:357\",\"g__Parabacteroides;s__Parabacteroides goldsteinii\",\"g__Clostridium;s__Clostridium sp. CAG:440\",\"g__Ruminococcus;s__Ruminococcus sp. CAG:177\",\"g__Bacteroides;s__Bacteroides coprocola\",\"g__Sutterella;s__Sutterella sp. KLE1602\",\"g__Unclassified;s__Lentisphaerae bacterium GWF2_45_14\",\"g__Sutterella;s__Sutterella sp. CAG:521\",\"g__Anaerotruncus;s__Anaerotruncus colihominis\",\"g__Parabacteroides;s__Parabacteroides distasonis\",\"g__Collinsella;s__Collinsella aerofaciens\",\"g__Eubacterium;s__Eubacterium sp. CAG:115\",\"g__Bacteroides;s__uncultured Bacteroides sp.\",\"g__Blautia;s__[Ruminococcus] gnavus\",\"g__Oscillibacter;s__uncultured Oscillibacter sp.\",\"g__Bacteroides;s__Bacteroides dorei\",\"g__Alistipes;s__Alistipes shahii\",\"g__Oscillibacter;s__Oscillibacter sp. 1-3\",\"g__Ruminiclostridium;s__[Clostridium] leptum\",\"g__Prevotella;s__Prevotella sp. CAG:487\",\"g__Tyzzerella;s__Tyzzerella nexilis\",\"g__Bacteroides;s__Bacteroides intestinalis\",\"g__Bacteroides;s__Bacteroides oleiciplenus\",\"g__Dialister;s__Dialister invisus\",\"g__Bacteroides;s__Bacteroides xylanisolvens\",\"g__Prevotella;s__Prevotella sp. 109\",\"g__Clostridium;s__Clostridium sp. M62_1\",\"g__Prevotella;s__Prevotella sp. CAG:5226\",\"g__Bacteroides;s__Bacteroides clarus\",\"g__Prevotella;s__Prevotella sp. CAG:255\",\"g__Unclassified;s__Prevotellaceae bacterium Marseille-P2831\",\"g__Unclassified;s__Clostridia bacterium UC5.1-2F7\",\"g__Alistipes;s__Alistipes senegalensis\",\"g__Prevotella;s__Prevotella sp. CAG:520\",\"g__Butyricimonas;s__Butyricimonas synergistica\",\"g__Paraprevotella;s__Paraprevotella clara CAG:116\",\"g__Clostridium;s__Clostridium sp. SN17\",\"g__Blautia;s__Blautia wexlerae\",\"g__Alistipes;s__Alistipes sp. CAG:53\",\"g__Anaerostipes;s__Anaerostipes hadrus\",\"g__Clostridium;s__Clostridium sp. CAG:594\",\"g__Eisenbergiella;s__Eisenbergiella tayi\",\"g__Lachnospira;s__Lachnospira pectinoschiza\",\"g__Unclassified;s__Clostridiales bacterium VE202-15\",\"g__Blautia;s__uncultured Blautia sp.\",\"g__Unclassified;s__butyrate-producing bacterium SS3_4\",\"g__Bilophila;s__Bilophila sp. 4_1_30\",\"g__Unclassified;s__Firmicutes bacterium CAG:65\",\"g__Blautia;s__Blautia sp. CAG:237\",\"g__Mitsuokella;s__Mitsuokella multacida\",\"g__Lachnoclostridium;s__[Clostridium] clostridioforme\",\"g__Bacteroides;s__Bacteroides eggerthii\",\"g__Barnesiella;s__Barnesiella intestinihominis\",\"g__Prevotella;s__Prevotella multisaccharivorax\",\"g__Lachnoclostridium;s__[Clostridium] lavalense\",\"g__Eubacterium;s__Eubacterium sp. CAG:161\",\"g__Unclassified;s__Lentisphaerae bacterium GWF2_52_8\",\"g__Clostridium;s__Clostridium sp. CAG:122\",\"g__Ruthenibacterium;s__Ruthenibacterium lactatiformans\",\"g__Paraprevotella;s__Paraprevotella clara\",\"g__Alistipes;s__Alistipes sp. CAG:157\",\"g__Bacteroides;s__Bacteroides sp. D2\",\"g__Alistipes;s__Alistipes inops\",\"g__Unclassified;s__Clostridiales bacterium 1_7_47FAA\",\"g__Bacteroides;s__Bacteroides coprocola CAG:162\",\"g__Bacteroides;s__Bacteroides acidifaciens\",\"g__Alistipes;s__Alistipes sp. HGB5\",\"g__Bifidobacterium;s__Bifidobacterium longum\",\"g__Unclassified;s__Clostridiales bacterium VE202-27\",\"g__Eubacterium;s__Eubacterium sp. CAG:251\",\"g__Candidatus Stoquefichus;s__Candidatus Stoquefichus sp. KLE1796\",\"g__Bacteroides;s__Bacteroides sp. CAG:927\",\"g__Bacteroides;s__Bacteroides sp. 3_1_13\",\"g__Bifidobacterium;s__Bifidobacterium pseudocatenulatum\",\"g__Bacteroides;s__Bacteroides sp. HMSC067B03\",\"g__Prevotella;s__Prevotella sp. CAG:386\",\"g__Parasutterella;s__Parasutterella excrementihominis\",\"g__Clostridium;s__Clostridium sp. CAG:465\",\"g__Unclassified;s__uncultured bacterium\",\"g__Unclassified;s__Firmicutes bacterium CAG:41\",\"g__Alistipes;s__Alistipes obesi\",\"g__Unclassified;s__Lachnospiraceae bacterium 7_1_58FAA\",\"g__Lachnoclostridium;s__[Clostridium] symbiosum\",\"g__Clostridium;s__Clostridium sp. CAG:448\",\"g__Clostridium;s__Clostridium sp. CAG:678\",\"g__Prevotella;s__Prevotella sp. CAG:604\",\"g__Clostridium;s__Clostridium sp. L2-50\",\"g__Prevotella;s__Prevotella sp. CAG:732\",\"g__Oscillibacter;s__Oscillibacter sp. CAG:155\",\"g__Bacteroides;s__Bacteroides massiliensis\",\"g__Veillonella;s__Veillonella sp. oral taxon 158\",\"g__Prevotella;s__Prevotella sp. AGR2160\",\"g__Bifidobacterium;s__Bifidobacterium bifidum\",\"g__Holdemania;s__Holdemania filiformis\",\"g__Dialister;s__Dialister invisus CAG:218\",\"g__Bacteroides;s__Bacteroides sp. CAG:20\",\"g__Coprococcus;s__uncultured Coprococcus sp.\",\"g__Lachnospira;s__uncultured Lachnospira sp.\",\"g__Ruminococcus;s__Ruminococcus bromii\",\"g__Unclassified;s__Burkholderiales bacterium 1_1_47\",\"g__Unclassified;s__Lentisphaerae bacterium GWF2_50_93\",\"g__Unclassified;s__Proteobacteria bacterium CAG:139\",\"g__Eubacterium;s__Eubacterium sp. CAG:76\",\"g__Alistipes;s__Alistipes putredinis CAG:67\",\"g__Roseburia;s__Roseburia sp. CAG:303\",\"g__Unclassified;s__Clostridiales bacterium KLE1615\",\"g__Unclassified;s__Ruminococcaceae bacterium D16\",\"g__Bacteroides;s__Candidatus Bacteroides timonensis\",\"g__Prevotella;s__Prevotella stercorea CAG:629\",\"g__Unclassified;s__Firmicutes bacterium CAG:466\",\"g__Allisonella;s__Allisonella histaminiformans\",\"g__Bacteroides;s__Bacteroides nordii\",\"g__Unclassified;s__Clostridiales bacterium VE202-03\",\"g__Clostridium;s__Clostridium sp. ATCC BAA-442\",\"g__Acidiphilium;s__Acidiphilium sp. CAG:727\",\"g__Subdoligranulum;s__Subdoligranulum sp. 4_3_54A2FAA\",\"g__Parabacteroides;s__Parabacteroides johnsonii\",\"g__Clostridium;s__Clostridium sp. CAG:91\",\"g__Haemophilus;s__Haemophilus parainfluenzae\",\"g__Butyricimonas;s__Butyricimonas sp. Marseille-P2440\",\"g__Azospirillum;s__Azospirillum sp. CAG:239\",\"g__Akkermansia;s__Akkermansia muciniphila\",\"g__Unclassified;s__Ruminococcaceae bacterium AM2\",\"g__Clostridium;s__Clostridium sp. CAG:567\",\"g__Prevotella;s__Prevotella sp. CAG:755\",\"g__Klebsiella;s__Klebsiella pneumoniae\",\"g__Clostridium;s__Clostridium hathewayi CAG:224\",\"g__Intestinimonas;s__Intestinimonas sp. GD2\",\"g__Bacteroides;s__Bacteroides pyogenes\",\"g__Chlamydia;s__Chlamydia trachomatis\",\"g__Lachnoclostridium;s__[Clostridium] saccharolyticum\",\"g__Clostridium;s__Clostridium sp. CAG:81\",\"g__Unclassified;s__Lentisphaerae bacterium GWF2_49_21\",\"g__Lachnoclostridium;s__[Clostridium] citroniae\",\"g__Roseburia;s__uncultured Roseburia sp.\",\"g__Ruminococcus;s__Ruminococcus sp. CAG:108\",\"g__Veillonella;s__Veillonella parvula\",\"g__Unclassified;s__Firmicutes bacterium ASF500\",\"g__Bacteroides;s__Bacteroides sp. Marseille-P3108\",\"g__Butyricicoccus;s__Butyricicoccus pullicaecorum\",\"g__Clostridium;s__Clostridium sp. CAG:264\",\"g__Anaerotruncus;s__Anaerotruncus sp. CAG:390\",\"g__Bacteroides;s__Bacteroides sp. HPS0048\",\"g__Clostridium;s__Clostridium sp. CAG:1013\",\"g__Oscillibacter;s__Oscillibacter valericigenes\",\"g__Bacteroides;s__Bacteroides cellulosilyticus CAG:158\",\"g__Clostridium;s__Clostridium sp. CAG:1024\",\"g__Unclassified;s__Clostridiales bacterium VE202-28\",\"g__Parasutterella;s__Parasutterella excrementihominis CAG:233\",\"g__Oscillibacter;s__Oscillibacter ruminantium\",\"g__Pseudoflavonifractor;s__Pseudoflavonifractor capillosus\",\"g__Clostridioides;s__Clostridioides difficile\",\"g__Anaerotruncus;s__Anaerotruncus sp. CAG:528\",\"g__Fusobacterium;s__Fusobacterium ulcerans\",\"g__Unclassified;s__Firmicutes bacterium CAG:272\",\"g__Eubacterium;s__Eubacterium desmolans\",\"g__Ruminococcus;s__Ruminococcus bicirculans\",\"g__Megamonas;s__Megamonas rupellensis\",\"g__Bacteroides;s__Bacteroides sp. 3_1_19\",\"g__Eubacterium;s__Eubacterium ramulus\",\"g__Parabacteroides;s__Parabacteroides sp. YL27\",\"g__Roseburia;s__Roseburia sp. CAG:45\",\"g__Mycoplasma;s__Mycoplasma sp. CAG:611\",\"g__Ruminococcus;s__Ruminococcus sp. CAG:563\",\"g__Candidatus Stoquefichus;s__Candidatus Stoquefichus sp. SB1\",\"g__Tyzzerella;s__Tyzzerella sp. Marseille-P3062\",\"g__Intestinibacter;s__Intestinibacter bartlettii\",\"g__Bacteroides;s__Bacteroides sp. CAG:443\",\"g__Unclassified;s__Ruminococcaceae bacterium cv2\",\"g__Megasphaera;s__Megasphaera elsdenii\",\"g__Ruminococcus;s__Ruminococcus faecis\",\"g__Clostridium;s__Clostridium sp. 1_1_41A1FAA\",\"g__Bacteroides;s__Bacteroides coprophilus CAG:333\",\"g__Candidatus Stoquefichus;s__Candidatus Stoquefichus massiliensis\",\"g__Unclassified;s__Firmicutes bacterium CAG:24\",\"g__Bacteroides;s__Bacteroides stercoris CAG:120\",\"g__Unclassified;s__Firmicutes bacterium CAG:94\",\"g__Pyramidobacter;s__Pyramidobacter piscolens\",\"g__Collinsella;s__Collinsella intestinalis\",\"g__Coprococcus;s__Coprococcus eutactus CAG:665\",\"g__Ruminococcus;s__Ruminococcus flavefaciens\",\"g__Parabacteroides;s__Parabacteroides sp. D26\",\"g__Unclassified;s__Oscillospiraceae bacterium VE202-24\",\"g__Ruminiclostridium;s__Ruminiclostridium sp. KB18\",\"g__Ruminococcus;s__Ruminococcus sp. JC304\",\"g__Bacteroides;s__Bacteroides stercorirosoris\",\"g__Veillonella;s__Veillonella sp. CAG:933\",\"g__Alistipes;s__Alistipes finegoldii CAG:68\",\"g__Clostridium;s__Clostridium sp. ASF356\",\"g__Parabacteroides;s__Parabacteroides merdae CAG:48\",\"g__Prevotella;s__Prevotella sp. CAG:617\",\"g__Unclassified;s__Bacteroidales bacterium KA00344\",\"g__Clostridium;s__Clostridium sp. CAG:169\",\"g__Marvinbryantia;s__Marvinbryantia formatexigens\",\"g__Alistipes;s__Alistipes sp. Marseille-P2431\",\"g__Prevotella;s__Prevotella sp. CAG:891\",\"g__Alistipes;s__Alistipes sp. CHKCI003\",\"g__Eubacterium;s__Eubacterium eligens CAG:72\",\"g__Unclassified;s__Opitutaceae bacterium TAV1\",\"g__Unclassified;s__uncultured phage crAssphage\",\"g__Clostridium;s__Clostridium sp. CAG:505\",\"g__Prevotella;s__Prevotella sp. CAG:1185\",\"g__Roseburia;s__Roseburia sp. CAG:18\",\"g__Unclassified;s__Lachnospiraceae bacterium 10-1\",\"g__Alistipes;s__Alistipes timonensis\",\"g__Ruminococcus;s__Ruminococcus albus\",\"g__Bacteroides;s__Bacteroides sp. CAG:1076\",\"g__Dorea;s__Dorea formicigenerans\",\"g__Clostridium;s__Clostridium sp. CAG:273\",\"g__Clostridium;s__Clostridium sp. CAG:413\",\"g__Akkermansia;s__Akkermansia muciniphila CAG:154\",\"g__Coprococcus;s__Coprococcus catus\",\"g__Unclassified;s__Veillonellaceae bacterium DNF00626\",\"g__Alistipes;s__Alistipes onderdonkii\",\"g__Blautia;s__Blautia producta\",\"g__Unclassified;s__Firmicutes bacterium CAG:240\",\"g__Bacteroides;s__Bacteroides sp. CAG:98\",\"g__Prevotella;s__Prevotella bryantii\",\"g__Holdemania;s__Holdemania massiliensis\",\"g__Bacteroides;s__Bacteroides gallinarum\",\"g__Clostridium;s__Clostridium sp. CAG:609\",\"g__Anaerotruncus;s__Anaerotruncus sp. MT15\",\"g__Bacteroides;s__Bacteroides salanitronis\",\"g__Bacteroides;s__Bacteroides sp. CAG:189\",\"g__Parabacteroides;s__Parabacteroides sp. HGS0025\",\"g__Unclassified;s__Eubacteriaceae bacterium CHKCI005\",\"g__Unclassified;s__Firmicutes bacterium CAG:555\",\"g__Unclassified;s__Lachnospiraceae bacterium 2_1_58FAA\",\"g__Alistipes;s__Alistipes sp. CAG:29\",\"g__Bacteroides;s__Bacteroides fluxus\",\"g__Bacteroides;s__Bacteroides sp. 2_2_4\",\"g__Bacteroides;s__Bacteroides sp. CAG:702\",\"g__Streptococcus;s__Streptococcus salivarius\",\"g__Veillonella;s__Veillonella dispar\",\"g__Unclassified;s__Clostridiales bacterium VE202-21\",\"g__Ruminococcus;s__Ruminococcus sp. CAG:403\",\"g__Clostridium;s__Clostridium sp. CAG:149\",\"g__Parabacteroides;s__Parabacteroides sp. D13\",\"g__Roseburia;s__Roseburia intestinalis CAG:13\",\"g__Ruminococcus;s__Ruminococcus gnavus CAG:126\",\"g__Eubacterium;s__Eubacterium siraeum CAG:80\",\"g__Unclassified;s__Lachnospiraceae bacterium A4\",\"g__Clostridium;s__Clostridium sp. CAG:780\",\"g__Desulfovibrio;s__Desulfovibrio desulfuricans\",\"g__Unclassified;s__Opitutaceae bacterium TAV5\",\"g__Bacteroides;s__Bacteroides finegoldii CAG:203\",\"g__Parabacteroides;s__Parabacteroides gordonii\",\"g__Hydrogenoanaerobacterium;s__Hydrogenoanaerobacterium saccharovorans\",\"g__Bacteroides;s__Bacteroides caccae CAG:21\",\"g__Bacteroides;s__Bacteroides sp. 14(A)\",\"g__Clostridium;s__Clostridium sp. 7_3_54FAA\",\"g__Unclassified;s__Firmicutes bacterium CAG:534\",\"g__Alistipes;s__Alistipes sp. AL-1\",\"g__Clostridium;s__Clostridium sp. CAG:389\",\"g__Unclassified;s__Clostridiales bacterium CHKCI006\",\"g__Unclassified;s__Clostridia bacterium UC5.1-2H11\",\"g__Unclassified;s__Clostridiales bacterium NK3B98\",\"g__Bacteroides;s__Bacteroides sp. D20\",\"g__Barnesiella;s__Barnesiella viscericola\",\"g__Blautia;s__Blautia sp. KLE 1732\",\"g__Acetivibrio;s__Acetivibrio ethanolgignens\",\"g__Unclassified;s__Firmicutes bacterium CAG:56\",\"g__Unclassified;s__Firmicutes bacterium CAG:114\",\"g__Unclassified;s__bacterium LF-3\",\"g__Blautia;s__Blautia schinkii\",\"g__Unclassified;s__unidentified phage\",\"g__Bacteroides;s__Bacteroides sp. 3_1_33FAA\",\"g__Clostridium;s__Clostridium nexile CAG:348\",\"g__Unclassified;s__Clostridiaceae bacterium MS3\",\"g__Romboutsia;s__Romboutsia sp. DR1\",\"g__Anaerotruncus;s__Anaerotruncus sp. G3(2012)\",\"g__Unclassified;s__Clostridiales bacterium VE202-14\",\"g__Coraliomargarita;s__Coraliomargarita sp. CAG:312\",\"g__Bacteroides;s__Bacteroides sp. CAG:875\",\"g__Prevotella;s__Prevotella bergensis\",\"g__Eubacterium;s__Eubacterium plexicaudatum\",\"g__Eubacterium;s__Eubacterium sp. CAG:841\",\"g__Blautia;s__Blautia sp. CAG:37\",\"g__Prevotella;s__Prevotella sp. CAG:924\",\"g__Ruminococcus;s__Ruminococcus sp. CAG:330\",\"g__Ruminococcus;s__Ruminococcus sp. DSM 100440\",\"g__Bacteroides;s__Bacteroides sp. 3_1_23\",\"g__Bacteroides;s__Bacteroides uniformis CAG:3\",\"g__Lachnoclostridium;s__Lachnoclostridium phytofermentans\",\"g__Coprobacillus;s__Coprobacillus sp. 8_1_38FAA\",\"g__Prevotella;s__Prevotella dentasini\",\"g__Eubacterium;s__Eubacterium sp. SN18\",\"g__Megamonas;s__Megamonas sp. Calf98-2\",\"g__Roseburia;s__Roseburia sp. CAG:100\",\"g__Bacteroides;s__Bacteroides sp. CAG:530\",\"g__Eubacterium;s__Eubacterium rectale CAG:36\",\"g__Unclassified;s__Lachnospiraceae bacterium A2\",\"g__Unclassified;s__Bacteroidaceae bacterium MS4\",\"g__Tannerella;s__Tannerella sp. 6_1_58FAA_CT1\",\"g__Unclassified;s__Clostridiales bacterium VE202-16\",\"g__Unclassified;s__[Bacteroides] pectinophilus\",\"g__Unclassified;s__Proteobacteria bacterium CAG:495\",\"g__Bacteroides;s__Bacteroides sp. 1_1_30\",\"g__Bacteroides;s__Bacteroides sp. D22\",\"g__Clostridium;s__Clostridium sp. CAG:470\",\"g__Unclassified;s__Ruminococcaceae bacterium mt9\",\"g__Butyrivibrio;s__Butyrivibrio crossotus\",\"g__Roseburia;s__Roseburia sp. CAG:182\",\"g__Bacteroides;s__Bacteroides sp. 2_1_33B\",\"g__Ruminococcus;s__Ruminococcus sp. Marseille-P2976\",\"g__Megamonas;s__Megamonas hypermegale\",\"g__Desulfovibrio;s__Desulfovibrio legallii\",\"g__Prevotella;s__Prevotella sp. CAG:485\",\"g__Catenibacterium;s__Catenibacterium mitsuokai\",\"g__Clostridium;s__Clostridium sp. ATCC 29733\",\"g__Unclassified;s__Lachnospiraceae bacterium 3-1\",\"g__Subdoligranulum;s__Subdoligranulum sp. CAG:314\",\"g__Bacteroides;s__Bacteroides sp. CAG:462\",\"g__Clostridium;s__Clostridium sp. CAG:354\",\"g__Bacteroides;s__Bacteroides caecimuris\",\"g__Bacteroides;s__Bacteroides sp. 1_1_14\",\"g__Bacteroides;s__Bacteroides sp. 4_1_36\",\"g__Lachnoanaerobaculum;s__Lachnoanaerobaculum saburreum\",\"g__Roseburia;s__Roseburia inulinivorans CAG:15\",\"g__Unclassified;s__Lachnospiraceae bacterium KHCPX20\",\"g__Ruminococcus;s__Ruminococcus sp. CAG:724\",\"g__Unclassified;s__Firmicutes bacterium CAG:238\",\"g__Bifidobacterium;s__Bifidobacterium breve\",\"g__Prevotella;s__Prevotella sp. CAG:474\",\"g__Clostridium;s__Clostridium sp. SCN 57-10\",\"g__Unclassified;s__Lachnospiraceae bacterium COE1\",\"g__Dehalobacter;s__Dehalobacter sp. FTH1\",\"g__Bacteroides;s__Bacteroides faecichinchillae\",\"g__Bacteroides;s__Bacteroides sp. 3_1_40A\",\"g__Clostridium;s__Clostridium botulinum\",\"g__Clostridium;s__Clostridium sp. CAG:230\",\"g__Eubacterium;s__[Eubacterium] hallii\",\"g__Unclassified;s__Clostridia bacterium UC5.1-1D1\",\"g__Dialister;s__Dialister pneumosintes\",\"g__Bacteroides;s__Bacteroides sartorii\",\"g__Tannerella;s__Tannerella sp. CAG:51\",\"g__Ruminococcus;s__Ruminococcus obeum CAG:39\",\"g__Unclassified;s__bacterium MS4\",\"g__Collinsella;s__Collinsella sp. 4_8_47FAA\",\"g__Parabacteroides;s__Parabacteroides sp. CAG:2\",\"g__Prevotella;s__Prevotella ruminicola\",\"g__Prevotella;s__Prevotella sp. CAG:1124\",\"g__Eggerthella;s__Eggerthella sp. CAG:1427\",\"g__Bacteroides;s__Bacteroides intestinalis CAG:564\",\"g__Staphylococcus;s__Staphylococcus aureus\",\"g__Clostridium;s__Clostridium sp. CAG:356\",\"g__Anaerobium;s__Anaerobium acetethylicum\",\"g__Unclassified;s__Lentisphaerae bacterium GWF2_38_69\",\"g__Prevotella;s__Prevotella paludivivens\",\"g__Clostridium;s__Clostridium sp. CAG:571\",\"g__Unclassified;s__Eubacteriaceae bacterium CHKCI004\",\"g__Dorea;s__Dorea sp. 5-2\",\"g__Lachnoclostridium;s__Lachnoclostridium sp. YL32\",\"g__Parvimonas;s__Parvimonas micra\",\"g__Bacteroides;s__Bacteroides barnesiae\",\"g__Sanguibacteroides;s__Sanguibacteroides justesenii\",\"g__Lachnoclostridium;s__[Desulfotomaculum] guttoideum\",\"g__Unclassified;s__Lachnospiraceae bacterium 3-2\",\"g__Unclassified;s__Firmicutes bacterium CAG:449\",\"g__Butyrivibrio;s__Butyrivibrio fibrisolvens\",\"g__Unclassified;s__Ruminococcaceae bacterium P7\",\"g__Bacteroides;s__Bacteroides sp. 1_1_6\",\"g__Parabacteroides;s__Parabacteroides chinchillae\",\"g__Caldicoprobacter;s__Caldicoprobacter oshimai\",\"g__Clostridium;s__Clostridium sp. W14A\",\"g__Unclassified;s__Lachnospiraceae bacterium 5_1_63FAA\",\"g__Ruminiclostridium;s__[Clostridium] methylpentosum\",\"g__Ruminococcus;s__Ruminococcus sp. CAG:57\",\"g__Unclassified;s__Clostridiales bacterium CHKCI001\",\"g__Terrimicrobium;s__Terrimicrobium sacchariphilum\",\"g__Bacteroides;s__Bacteroides sp. 4_3_47FAA\",\"g__Youngiibacter;s__Youngiibacter fragilis\",\"g__Ruminococcus;s__Ruminococcus sp. AT12\",\"g__Acidaminococcus;s__Acidaminococcus intestini\",\"g__Clostridium;s__Clostridium perfringens\",\"g__Clostridium;s__Clostridium sp. CAG:411\",\"g__Desulfovibrio;s__Desulfovibrio sp. 6_1_46AFAA\",\"g__Parabacteroides;s__Parabacteroides sp. 20_3\",\"g__Prevotella;s__Prevotella sp. kh1p2\",\"g__Clostridium;s__Clostridium sp. ASF502\",\"g__Clostridium;s__Clostridium sp. CAG:492\",\"g__Blautia;s__Blautia sp. GD9\",\"g__Unclassified;s__Lachnospiraceae bacterium M18-1\",\"g__Collinsella;s__Collinsella sp. CAG:166\",\"g__Bacteroides;s__Bacteroides faecis\",\"g__Prevotella;s__Prevotella histicola\",\"g__Clostridium;s__Clostridium bolteae CAG:59\",\"g__Ruminococcus;s__Ruminococcus champanellensis\",\"g__Unclassified;s__Firmicutes bacterium CAG:646\",\"g__Sutterella;s__Sutterella wadsworthensis CAG:135\",\"g__Eubacterium;s__Eubacterium sp. 14-2\",\"g__Lachnospira;s__Lachnospira multipara\",\"g__Ruminococcus;s__Ruminococcus sp. CAG:382\",\"g__Faecalitalea;s__Faecalitalea cylindroides\",\"g__Mycoplasma;s__Mycoplasma sp. CAG:956\",\"g__Bacteroides;s__Bacteroides thetaiotaomicron CAG:40\",\"g__Prevotella;s__Prevotella sp. tc2-28\",\"g__Enterococcus;s__Enterococcus faecium\",\"g__Roseburia;s__Roseburia sp. CAG:309\",\"g__Christensenella;s__Christensenella sp. Marseille-P2437\",\"g__Unclassified;s__Clostridia bacterium UC5.1-1E11\",\"g__Dialister;s__Dialister sp. CAG:486\",\"g__Bacteroides;s__Bacteroides helcogenes\",\"g__Coprobacter;s__Coprobacter secundus\",\"g__Prevotella;s__Prevotella sp. HUN102\",\"g__Blautia;s__Blautia sp. SF-50\",\"g__Lachnoclostridium;s__[Clostridium] fimetarium\",\"g__Lachnoclostridium;s__[Clostridium] methoxybenzovorans\",\"g__Unclassified;s__Lachnospiraceae bacterium 28-4\",\"g__Unclassified;s__butyrate-producing bacterium SM4_1\",\"g__Unclassified;s__Opitutaceae bacterium TSB47\",\"g__Prevotella;s__Prevotella albensis\",\"g__Clostridium;s__Clostridium leptum CAG:27\",\"g__Clostridium;s__Clostridium sp. BR31\",\"g__Clostridium;s__Clostridium sp. C105KSO15\",\"g__Clostridium;s__Clostridium sp. FS41\",\"g__Clostridium;s__Clostridium sp. KNHs205\",\"g__Eubacterium;s__Eubacterium ruminantium\",\"g__Lachnoclostridium;s__[Clostridium] aminophilum\",\"g__Unclassified;s__Lachnospiraceae bacterium 2_1_46FAA\",\"g__Unclassified;s__Lachnospiraceae bacterium JC7\",\"g__Acetanaerobacterium;s__Acetanaerobacterium elongatum\",\"g__Ruminococcus;s__Ruminococcus sp. CAG:17\",\"g__Unclassified;s__Erysipelotrichaceae bacterium 21_3\",\"g__Selenomonas;s__Selenomonas ruminantium\",\"g__Unclassified;s__Firmicutes bacterium CAG:145\",\"g__Unclassified;s__Firmicutes bacterium CAG:194\",\"g__Acetobacter;s__Acetobacter sp. CAG:267\",\"g__Bacteroides;s__Bacteroides sp. AR20\",\"g__Clostridium;s__Clostridium sp. CAG:575\",\"g__Ruminiclostridium;s__[Clostridium] viride\",\"g__Mitsuokella;s__Mitsuokella jalaludinii\",\"g__Fusobacterium;s__Fusobacterium perfoetens\",\"g__Unclassified;s__Sutterellaceae bacterium ND3\",\"g__Mycoplasma;s__Mycoplasma sp. CAG:877\",\"g__Prevotella;s__Prevotella bivia\",\"g__Prevotella;s__Prevotella dentalis\",\"g__Prevotella;s__Prevotella sp. S7-1-8\",\"g__Lachnoclostridium;s__[Clostridium] scindens\",\"g__Oribacterium;s__Oribacterium sp. oral taxon 078\",\"g__Ruminococcus;s__Ruminococcus gauvreauii\",\"g__Odoribacter;s__Odoribacter laneus\",\"g__Parabacteroides;s__Parabacteroides sp. CAG:409\",\"g__Prevotella;s__Prevotella corporis\",\"g__Prevotella;s__Prevotella sp. P4-65\",\"g__Clostridium;s__Clostridium sp. CAG:964\",\"g__Clostridium;s__Clostridium sp. KNHs209\",\"g__Unclassified;s__Lachnospiraceae bacterium 3_1_46FAA\",\"g__Paeniclostridium;s__Paeniclostridium sordellii\",\"g__Unclassified;s__Clostridiales bacterium GWF2_38_85\",\"g__Bacteroides;s__Bacteroides sp. CAG:598\",\"g__Clostridium;s__Clostridium butyricum\",\"g__Blautia;s__Blautia sp. Marseille-P2398\",\"g__Blautia;s__Blautia sp. YL58\",\"g__Ruminococcus;s__Ruminococcus sp. 5_1_39BFAA\",\"g__Unclassified;s__Clostridiales bacterium VE202-07\",\"g__Corallococcus;s__Corallococcus sp. CAG:1435\",\"g__Bacteroides;s__Bacteroides eggerthii CAG:109\",\"g__Bacteroides;s__Bacteroides reticulotermitis\",\"g__Bacteroides;s__Bacteroides sp. 9_1_42FAA\",\"g__Rikenella;s__Rikenella microfusus\",\"g__Clostridium;s__Clostridium sp. CAG:632\",\"g__Clostridium;s__Clostridium sp. CAG:793\",\"g__Eubacterium;s__Eubacterium sp. ER2\",\"g__Blautia;s__Blautia hansenii\",\"g__Butyrivibrio;s__Butyrivibrio proteoclasticus\",\"g__Unclassified;s__Lachnospiraceae bacterium 6_1_37FAA\",\"g__Oscillibacter;s__Oscillibacter sp. KLE 1728\",\"g__Prevotella;s__Prevotella baroniae\",\"g__Prevotella;s__Prevotella sp. CAG:873\",\"g__Tyzzerella;s__[Clostridium] propionicum\",\"g__Anaerotruncus;s__uncultured Anaerotruncus sp.\",\"g__Ruminococcus;s__Ruminococcus sp. CAG:579\",\"g__Ruminococcus;s__Ruminococcus sp. SR1_5\",\"g__Megamonas;s__Megamonas funiformis CAG:377\",\"g__Megasphaera;s__Megasphaera sp. BL7\",\"g__Megasphaera;s__Megasphaera sp. NM10\",\"g__Unclassified;s__Firmicutes bacterium CAG:582\",\"g__Neurospora;s__Neurospora crassa\",\"g__Tannerella;s__Tannerella sp. CAG:118\",\"g__Alloprevotella;s__Alloprevotella rava\",\"g__Prevotella;s__Prevotella micans\",\"g__Unclassified;s__Candidatus Uhrbacteria bacterium GW2011_GWF2_39_13\",\"g__Clostridium;s__Clostridium sp. CAG:433\",\"g__Clostridium;s__Clostridium sp. Marseille-P299\",\"g__Catonella;s__Catonella morbi\",\"g__Unclassified;s__Peptostreptococcaceae bacterium CCRI-22567\",\"g__Prevotella;s__Prevotella brevis\",\"g__Clostridium;s__Clostridium sp. C105KSO13\",\"g__Butyrivibrio;s__Butyrivibrio sp. CAG:318\",\"g__Dorea;s__Dorea sp. AGR2135\",\"g__Lachnoclostridium;s__[Clostridium] polysaccharolyticum\",\"g__Candidatus Soleaferrea;s__Candidatus Soleaferrea massiliensis\",\"g__Drancourtella;s__Drancourtella massiliensis\",\"g__Unclassified;s__Firmicutes bacterium CAG:424\",\"g__Unclassified;s__Spirochaetes bacterium GWF1_41_5\",\"g__Bacteroides;s__Bacteroides sp. CAG:714\",\"g__Clostridium;s__Clostridium sp. MSTE9\",\"g__Dorea;s__Dorea formicigenerans CAG:28\",\"g__Tyzzerella;s__[Clostridium] neopropionicum\",\"g__Unclassified;s__Lentisphaerae bacterium RIFOXYA12_FULL_48_11\",\"g__Salmonella;s__Salmonella enterica\",\"g__Eggerthella;s__Eggerthella lenta\",\"g__Bacteroides;s__Bacteroides sp. CAG:661\",\"g__Macellibacteroides;s__Macellibacteroides sp. HH-ZS\",\"g__Prevotella;s__Prevotella oryzae\",\"g__Clostridium;s__Clostridium sp. CAG:167\",\"g__Clostridium;s__Clostridium sp. CAG:590\",\"g__Clostridium;s__Clostridium sp. CAG:914\",\"g__Unclassified;s__Lachnospiraceae bacterium TWA4\",\"g__Oscillibacter;s__Oscillibacter sp. KLE 1745\",\"g__Unclassified;s__Clostridiales bacterium VE202-13\",\"g__Erysipelatoclostridium;s__[Clostridium] spiroforme\",\"g__Unclassified;s__Erysipelotrichaceae bacterium NK3D112\",\"g__Unclassified;s__Firmicutes bacterium CAG:552\",\"g__Unclassified;s__Firmicutes bacterium CAG:822\",\"g__Fusobacterium;s__Fusobacterium sp. HMSC073F01\",\"g__Desulfovibrio;s__Desulfovibrio vulgaris\",\"g__Bacteroides;s__Bacteroides sp. HMSC068A09\",\"g__Prevotella;s__Prevotella denticola\",\"g__Paenibacillus;s__Paenibacillus sp. IHB B 3415\",\"g__Sarcina;s__Sarcina sp. DSM 11001\",\"g__Unclassified;s__Lachnospiraceae bacterium V9D3004\",\"g__Unclassified;s__Clostridiales bacterium VE202-06\",\"g__Erysipelatoclostridium;s__[Clostridium] saccharogumia\",\"g__Shigella;s__Shigella sonnei\",\"g__Prevotella;s__Prevotella maculosa\",\"g__Bacillus;s__Bacillus cereus\",\"g__Coprococcus;s__Coprococcus sp. HPP0048\",\"g__Unclassified;s__Clostridiales bacterium VE202-09\",\"g__Unclassified;s__Firmicutes bacterium CAG:227\",\"g__Acholeplasma;s__Acholeplasma sp. CAG:878\",\"g__Bacteroides;s__Bacteroides sp. CAG:709\",\"g__Coprobacter;s__Coprobacter fastidiosus\",\"g__Porphyromonas;s__Porphyromonas sp. 31_2\",\"g__Prevotella;s__Prevotella buccalis\",\"g__Prevotella;s__Prevotella intermedia\",\"g__Prevotella;s__Prevotella sp. CAG:1320\",\"g__Staphylococcus;s__Staphylococcus sp. CAG:324\",\"g__Clostridium;s__Clostridium bartlettii CAG:1329\",\"g__Roseburia;s__Roseburia sp. CAG:471\",\"g__Unclassified;s__Lachnospiraceae bacterium 8_1_57FAA\",\"g__Ruminiclostridium;s__[Clostridium] clariflavum\",\"g__Ruminiclostridium;s__[Clostridium] termitidis\",\"g__Unclassified;s__Clostridia bacterium BRH_c25\",\"g__Coprobacillus;s__Coprobacillus sp. CAG:698\",\"g__Faecalicoccus;s__Faecalicoccus pleomorphus\",\"g__Veillonella;s__Veillonella sp. DORA_A_3_16_22\",\"g__Acholeplasma;s__Acholeplasma brassicae\",\"g__Mycoplasma;s__Mycoplasma sp. CAG:776\",\"g__Akkermansia;s__Akkermansia glycaniphila\",\"g__Potexvirus;s__Cactus virus X\",\"g__Bacteroides;s__Bacteroides pectinophilus CAG:437\",\"g__Bacteroides;s__Bacteroides sp. CAG:770\",\"g__Odoribacter;s__Odoribacter sp. CAG:788\",\"g__Prevotella;s__Prevotella timonensis\",\"g__Lactobacillus;s__Lactobacillus ruminis\",\"g__Catabacter;s__Catabacter hongkongensis\",\"g__Clostridium;s__Clostridium sp. CAG:452\",\"g__Clostridium;s__Clostridium sp. CAG:710\",\"g__Coprococcus;s__Coprococcus sp. CAG:782\",\"g__Coprococcus;s__Coprococcus sp. HPP0074\",\"g__Oribacterium;s__Oribacterium sp. KHPX15\",\"g__Unclassified;s__Lachnospiraceae bacterium 6_1_63FAA\",\"g__Unclassified;s__Lachnospiraceae bacterium FE2018\",\"g__Desulfitobacterium;s__Desulfitobacterium hafniense\",\"g__Ruminococcus;s__Ruminococcus sp. YE78\",\"g__Mahella;s__Mahella australiensis\",\"g__Unclassified;s__Erysipelotrichaceae bacterium 3_1_53\",\"g__Unclassified;s__Firmicutes bacterium CAG:270\",\"g__Lentisphaera;s__Lentisphaera araneosa\",\"g__Unclassified;s__Lentisphaerae bacterium RIFOXYA12_64_32\",\"g__Mastadenovirus;s__Human mastadenovirus C\",\"g__Bacteroides;s__Bacteroides dorei CAG:222\",\"g__Bacteroides;s__Bacteroides graminisolvens\",\"g__Bacteroides;s__Bacteroides sp. CAG:633\",\"g__Enterococcus;s__Enterococcus sp. HMSC05C03\",\"g__Clostridium;s__Clostridium sp. SS2_1\",\"g__Clostridium;s__Clostridium sp. SY8519\",\"g__Blautia;s__Blautia sp. CAG:257\",\"g__Lachnobacterium;s__Lachnobacterium bovis\",\"g__Lachnoclostridium;s__[Clostridium] celerecrescens\",\"g__Lachnoclostridium;s__[Clostridium] indolis\",\"g__Lachnoclostridium;s__[Eubacterium] contortum\",\"g__Unclassified;s__Lachnospiraceae bacterium 1_4_56FAA\",\"g__Unclassified;s__Lachnospiraceae bacterium CAG:215\",\"g__Unclassified;s__Lachnospiraceae bacterium NK3A20\",\"g__Ethanoligenens;s__Ethanoligenens harbinense\",\"g__Pseudobacteroides;s__Pseudobacteroides cellulosolvens\",\"g__Ruminococcus;s__Ruminococcus sp. CAG:9\",\"g__Unclassified;s__Ruminococcaceae bacterium GD6\",\"g__Coprobacillus;s__Coprobacillus sp. CAG:826\",\"g__Turicibacter;s__Turicibacter sanguinis\",\"g__Acidaminococcus;s__Acidaminococcus sp. CAG:917\",\"g__Dialister;s__Dialister micraerophilus\",\"g__Dialister;s__Dialister sp. CAG:588\",\"g__Diplosphaera;s__Diplosphaera colitermitum\",\"g__Unclassified;s__Sphingomonas phage PAU\",\"g__Prevotella;s__Prevotella amnii\",\"g__Christensenella;s__Christensenella minuta\",\"g__Clostridium;s__Clostridium sp. 12(A)\",\"g__Lachnoclostridium;s__[Clostridium] glycyrrhizinilyticum\",\"g__Unclassified;s__Lachnospiraceae bacterium YSD2013\",\"g__Faecalibacterium;s__Faecalibacterium sp. CAG:1138\",\"g__Ruminiclostridium;s__[Clostridium] stercorarium\",\"g__Sporomusa;s__Sporomusa acidovorans\",\"g__Unclassified;s__Firmicutes bacterium CAG:884\",\"g__Desulfovibrio;s__Desulfovibrio fairfieldensis\",\"g__Treponema;s__Treponema socranskii\",\"g__Fretibacterium;s__Fretibacterium fastidiosum\",\"g__Bifidobacterium;s__Bifidobacterium catenulatum\",\"g__Bacteroides;s__Bacteroides paurosaccharolyticus\",\"g__Bacteroides;s__Bacteroides sp. Marseille-P2824\",\"g__Gabonibacter;s__Gabonibacter massiliensis\",\"g__Prevotella;s__Prevotella sp. P6B4\",\"g__Fibrobacter;s__Fibrobacter succinogenes\",\"g__Clostridium;s__Clostridium sp. CAG:921\",\"g__Clostridium;s__Clostridium sp. JCD\",\"g__Eubacterium;s__Eubacterium limosum\",\"g__Dorea;s__Dorea sp. CAG:317\",\"g__Lachnoclostridium;s__[Clostridium] aerotolerans\",\"g__Robinsoniella;s__Robinsoniella peoriensis\",\"g__Unclassified;s__Firmicutes bacterium CAG:475\",\"g__Acinetobacter;s__Acinetobacter baumannii\",\"g__Bifidobacterium;s__Bifidobacterium kashiwanohense\",\"g__Bacteroides;s__Bacteroides sp. 2_1_16\",\"g__Bacteroides;s__Bacteroides sp. 2_1_22\",\"g__Bacteroides;s__Bacteroides sp. CAG:144\",\"g__Bacteroides;s__Bacteroides sp. CAG:545\",\"g__Dysgonomonas;s__Dysgonomonas mossii\",\"g__Parabacteroides;s__Parabacteroides johnsonii CAG:246\",\"g__Prevotella;s__Prevotella nigrescens\",\"g__Prevotella;s__Prevotella sp. P5-119\",\"g__Clostridium;s__Clostridium polynesiense\",\"g__Clostridium;s__Clostridium sp. ASBs410\",\"g__Clostridium;s__Clostridium sp. CAG:1193\",\"g__Lachnoanaerobaculum;s__Lachnoanaerobaculum sp. OBRC5-5\",\"g__Lachnoclostridium;s__[Eubacterium] fissicatena\",\"g__Stomatobaculum;s__Stomatobaculum longum\",\"g__Unclassified;s__Lachnospiraceae bacterium 9_1_43BFAA\",\"g__Ruminiclostridium;s__[Clostridium] cellulolyticum\",\"g__Ruminiclostridium;s__[Clostridium] papyrosolvens\",\"g__Ruminococcus;s__Ruminococcus sp. NK3A76\",\"g__Unclassified;s__Ruminococcaceae bacterium FB2012\",\"g__Megasphaera;s__Megasphaera massiliensis\",\"g__Unclassified;s__Planctomycetes bacterium GWF2_41_51\",\"g__Unclassified;s__Planctomycetes bacterium GWF2_42_9\",\"g__Unclassified;s__Verrucomicrobiaceae bacterium GAS474\",\"g__Unclassified;s__uncultured Mediterranean phage uvMED\",\"g__Dysgonomonas;s__Dysgonomonas macrotermitis\",\"g__Unclassified;s__Porphyromonadaceae bacterium GM3\",\"g__Hallella;s__Hallella seregens\",\"g__Prevotella;s__Prevotella salivae\",\"g__Prevotella;s__Prevotella sp. DNF00663\",\"g__Alistipes;s__Alistipes sp. CAG:435\",\"g__Clostridium;s__Clostridium beijerinckii\",\"g__Clostridium;s__Clostridium clostridioforme CAG:511\",\"g__Clostridium;s__Clostridium sp. C105KSO14\",\"g__Clostridium;s__Clostridium sp. CAG:352\",\"g__Eubacterium;s__Eubacterium sp. SB2\",\"g__Butyrivibrio;s__Butyrivibrio sp. AE2032\",\"g__Fusicatenibacter;s__Fusicatenibacter sp. 2789STDY5834925\",\"g__Johnsonella;s__Johnsonella ignava\",\"g__Pseudobutyrivibrio;s__Pseudobutyrivibrio sp. ACV-2\",\"g__Pseudobutyrivibrio;s__Pseudobutyrivibrio sp. MD2005\",\"g__Unclassified;s__Lachnospiraceae bacterium 5_1_57FAA\",\"g__Ruminiclostridium;s__[Clostridium] cellulosi\",\"g__Ruminiclostridium;s__[Clostridium] sporosphaeroides\",\"g__Ruminococcus;s__Ruminococcus sp. CAG:60\",\"g__Unclassified;s__Clostridiales bacterium GWF2_36_10\",\"g__Solobacterium;s__Solobacterium moorei\",\"g__Veillonella;s__Veillonella sp. 6_1_27\",\"g__Sedimentibacter;s__Sedimentibacter sp. B4\",\"g__Desulfomicrobium;s__Desulfomicrobium orale\",\"g__Bifidobacterium;s__Bifidobacterium boum\",\"g__Bacteroides;s__Bacteroides ovatus CAG:22\",\"g__Odoribacter;s__Odoribacter sp. Marseille-P2698\",\"g__Dysgonomonas;s__Dysgonomonas gadei\",\"g__Prevotella;s__Prevotella sp. MSX73\",\"g__Prevotella;s__Prevotella sp. P5-60\",\"g__Bacillus;s__Bacillus sp. CAG:988\",\"g__Streptococcus;s__Streptococcus suis\",\"g__Clostridium;s__Clostridium sp. CAG:524\",\"g__Geosporobacter;s__Geosporobacter ferrireducens\",\"g__Defluviitalea;s__Defluviitalea phaphyphila\",\"g__Eubacterium;s__[Eubacterium] cellulosolvens\",\"g__Dorea;s__Dorea sp. CAG:105\",\"g__Pseudobutyrivibrio;s__Pseudobutyrivibrio sp. C4\",\"g__Sellimonas;s__Sellimonas intestinalis\",\"g__Unclassified;s__Lachnospiraceae bacterium AC2014\",\"g__Ruminococcus;s__Ruminococcus sp. HUN007\",\"g__Coprobacillus;s__Coprobacillus sp. 3_3_56FAA\",\"g__Erysipelatoclostridium;s__[Clostridium] innocuum\",\"g__Megasphaera;s__Megasphaera cerevisiae\",\"g__Veillonella;s__Veillonella atypica\",\"g__Veillonella;s__Veillonella sp. 3_1_44\",\"g__Unclassified;s__Firmicutes bacterium CAG:631\",\"g__Haemophilus;s__Haemophilus sp. HMSC71H05\",\"g__Unclassified;s__uncultured bacterium Contig160\",\"g__Collinsella;s__Collinsella tanakaei\",\"g__Bacteroides;s__Bacteroides fragilis CAG:558\",\"g__Unclassified;s__Porphyromonadaceae bacterium H1\",\"g__Prevotella;s__Prevotella buccae\",\"g__Prevotella;s__Prevotella multiformis\",\"g__Prevotella;s__Prevotella sp. P4-76\",\"g__Prevotella;s__Prevotella sp. P5-125\",\"g__Alistipes;s__Alistipes sp. CAG:831\",\"g__Mucinivorans;s__Mucinivorans hirudinis\",\"g__Unclassified;s__Anaerolineaceae bacterium oral taxon 439\",\"g__Lysinibacillus;s__Lysinibacillus fusiformis\",\"g__Clostridiisalibacter;s__Clostridiisalibacter paucivorans\",\"g__Clostridium;s__Clostridium bornimense\",\"g__Clostridium;s__Clostridium sp. Bc-iso-3\",\"g__Clostridium;s__Clostridium sp. CAG:288\",\"g__Clostridium;s__Clostridium sp. CAG:349\",\"g__Anaerovorax;s__Anaerovorax odorimutans\",\"g__Eubacterium;s__Eubacterium pyruvativorans\",\"g__Oribacterium;s__Oribacterium sp. NK2B42\",\"g__Unclassified;s__Lachnospiraceae bacterium RM5\",\"g__Peptoanaerobacter;s__Peptoanaerobacter stomatis\",\"g__Ruminiclostridium;s__[Clostridium] josui\",\"g__Allobaculum;s__Allobaculum stercoricanis\",\"g__Coprobacillus;s__Coprobacillus sp. 29_1\",\"g__Dielma;s__Dielma fastidiosa\",\"g__Unclassified;s__Erysipelotrichaceae bacterium 6_1_45\",\"g__Acidaminococcus;s__Acidaminococcus fermentans\",\"g__Megasphaera;s__Megasphaera sp. BV3C16-1\",\"g__Unclassified;s__Firmicutes bacterium CAG:791\",\"g__Cetobacterium;s__Cetobacterium somerae\",\"g__Fusobacterium;s__Fusobacterium necrophorum\",\"g__Sutterella;s__Sutterella sp. CAG:351\",\"g__Gordonibacter;s__Gordonibacter pamelaeae\",\"g__Bacteroides;s__Bacteroides sp. 2_1_56FAA\",\"g__Tannerella;s__Tannerella forsythia\",\"g__Prevotella;s__Prevotella sp. 10(H)\",\"g__Enterococcus;s__Enterococcus faecalis\",\"g__Clostridium;s__Clostridium sp. D5\",\"g__Unclassified;s__Clostridiaceae bacterium GM1\",\"g__Eubacterium;s__Eubacterium sp. CAG:581\",\"g__Butyrivibrio;s__Butyrivibrio crossotus CAG:259\",\"g__Butyrivibrio;s__Butyrivibrio sp. NC3005\",\"g__Butyrivibrio;s__Butyrivibrio sp. ob235\",\"g__Dorea;s__uncultured Dorea sp.\",\"g__Robinsoniella;s__Robinsoniella sp. KNHs210\",\"g__Unclassified;s__Lachnospiraceae bacterium NC2004\",\"g__Unclassified;s__Lachnospiraceae bacterium XBB2008\",\"g__Unclassified;s__Lachnospiraceae bacterium mt14\",\"g__Desulfosporosinus;s__Desulfosporosinus sp. Tol-M\",\"g__Terrisporobacter;s__Terrisporobacter othiniensis\",\"g__Acetivibrio;s__Acetivibrio cellulolyticus\",\"g__Unclassified;s__Ruminococcaceae bacterium YRB3002\",\"g__Unclassified;s__Clostridiales bacterium VE202-18\",\"g__Erysipelatoclostridium;s__[Clostridium] cocleatum\",\"g__Kandleria;s__Kandleria vitulina\",\"g__Selenomonas;s__Selenomonas bovis\",\"g__Megasphaera;s__Megasphaera elsdenii CAG:570\",\"g__Fusobacterium;s__Fusobacterium nucleatum\",\"g__Oxalobacter;s__Oxalobacter formigenes\",\"g__Unclassified;s__delta proteobacterium PSCGC 5296\",\"g__Succinatimonas;s__Succinatimonas hippei\",\"g__Treponema;s__Treponema primitia\",\"g__Unclassified;s__Verrucomicrobia bacterium L21-Fru-AB\",\"g__Olsenella;s__Olsenella sp. HMSC062G07\",\"g__Eggerthella;s__Eggerthella sp. CAG:368\",\"g__Porphyromonas;s__Porphyromonas endodontalis\",\"g__Porphyromonas;s__Porphyromonas macacae\",\"g__Rikenella;s__Rikenella sp. Marseille-P3215\",\"g__Flexilinea;s__Flexilinea flocculi\",\"g__Streptococcus;s__Streptococcus gallolyticus\",\"g__Clostridium;s__Clostridium disporicum\",\"g__Clostridium;s__Clostridium sp. CAG:221\",\"g__Clostridium;s__Clostridium sp. CAG:533\",\"g__Clostridium;s__Clostridium sp. HMP27\",\"g__Oxobacter;s__Oxobacter pfennigii\",\"g__Anaerofustis;s__Anaerofustis stercorihominis\",\"g__Eubacterium;s__Eubacterium oxidoreducens\",\"g__Blautia;s__Blautia hydrogenotrophica\",\"g__Cellulosilyticum;s__Cellulosilyticum lentocellum\",\"g__Coprococcus;s__Coprococcus sp. ART55_1\",\"g__Coprococcus;s__Coprococcus sp. CAG:131\",\"g__Oribacterium;s__Oribacterium sp. FC2011\",\"g__Unclassified;s__Lachnospiraceae bacterium 3_1_57FAA_CT1\",\"g__Unclassified;s__Lachnospiraceae bacterium AB2028\",\"g__Unclassified;s__Lachnospiraceae bacterium G11\",\"g__Peptococcus;s__Peptococcus niger\",\"g__Unclassified;s__Peptococcaceae bacterium 1109\",\"g__Coprobacillus;s__Coprobacillus sp. 8_2_54BFAA\",\"g__Unclassified;s__[Eubacterium] dolichum\",\"g__Succiniclasticum;s__Succiniclasticum ruminis\",\"g__Succinispira;s__Succinispira mobilis\",\"g__Sporanaerobacter;s__Sporanaerobacter sp. PP17-6a\",\"g__Unclassified;s__[Clostridium] ultunense\",\"g__Haemophilus;s__Haemophilus influenzae\",\"g__Sphaerochaeta;s__Sphaerochaeta globosa\",\"g__Unclassified;s__bacterium P201\",\"g__Bifidobacterium;s__Bifidobacterium ruminantium\",\"g__Olsenella;s__Olsenella scatoligenes\",\"g__Collinsella;s__Collinsella massiliensis\",\"g__Bacteroides;s__Bacteroides faecis CAG:32\",\"g__Prevotella;s__Prevotella fusca\",\"g__Prevotella;s__Prevotella sp. C561\",\"g__Candidatus Symbiothrix;s__Candidatus Symbiothrix dinenymphae\",\"g__Unclassified;s__Bacteroidetes bacterium GWF2_40_14\",\"g__Bacillus;s__Bacillus niameyensis\",\"g__Sharpea;s__Sharpea azabuensis\",\"g__Streptococcus;s__Streptococcus pneumoniae\",\"g__Streptococcus;s__Streptococcus sp. HMSC064H09\",\"g__Clostridium;s__Clostridium cadaveris\",\"g__Clostridium;s__Clostridium cellulovorans\",\"g__Clostridium;s__Clostridium sp. CAG:1219\",\"g__Clostridium;s__Clostridium sp. CAG:628\",\"g__Clostridium;s__Clostridium sp. CL-6\",\"g__Clostridium;s__Clostridium sp. Marseille-P2538\",\"g__Proteiniclasticum;s__Proteiniclasticum ruminis\",\"g__Eubacterium;s__Eubacterium barkeri\",\"g__Eubacterium;s__Eubacterium sp. AB3007\",\"g__Eubacterium;s__Eubacterium xylanophilum\",\"g__Blautia;s__Blautia sp. CAG:52\",\"g__Butyrivibrio;s__Butyrivibrio sp. INlla14\",\"g__Butyrivibrio;s__Butyrivibrio sp. MC2013\",\"g__Unclassified;s__Lachnospiraceae bacterium AC2029\",\"g__Unclassified;s__Lachnospiraceae bacterium ND2006\",\"g__Unclassified;s__Lachnospiraceae bacterium YSB2008\",\"g__Peptoclostridium;s__Peptoclostridium acidaminophilum\",\"g__Ruminiclostridium;s__[Clostridium] cellobioparum\",\"g__Ruminococcus;s__Ruminococcus sp. CAG:624\",\"g__Tepidanaerobacter;s__Tepidanaerobacter syntrophicus\",\"g__Coprobacillus;s__Coprobacillus sp. D6\",\"g__Coprobacillus;s__Coprobacillus sp. D7\",\"g__Unclassified;s__Erysipelotrichaceae bacterium 2_2_44A\",\"g__Acidaminococcus;s__Acidaminococcus sp. BV3L6\",\"g__Selenomonas;s__Selenomonas sp. FC4001\",\"g__Selenomonas;s__Selenomonas sp. ND2010\",\"g__Isosphaera;s__Isosphaera pallida\",\"g__Unclassified;s__Planctomycetes bacterium GWC2_45_44\",\"g__Bifidobacterium;s__Bifidobacterium scardovii\",\"g__Olsenella;s__Olsenella umbonata\",\"g__Odoribacter;s__Odoribacter laneus CAG:561\",\"g__Dysgonomonas;s__Dysgonomonas sp. BGC7\",\"g__Parabacteroides;s__Parabacteroides sp. 2_1_7\",\"g__Tannerella;s__Tannerella sp. oral taxon HOT-286\",\"g__Prevotella;s__Prevotella disiens\",\"g__Prevotella;s__Prevotella nanceiensis\",\"g__Prevotella;s__Prevotella oris\",\"g__Prevotella;s__Prevotella sp. BP1-145\",\"g__Prevotella;s__Prevotella sp. P6B1\",\"g__Prevotella;s__Prevotella veroralis\",\"g__Unclassified;s__Candidatus Handelsmanbacteria bacterium RIFCSPLOWO2_12_FULL_64_10\",\"g__Listeria;s__Listeria monocytogenes\",\"g__Paenibacillus;s__Paenibacillus sp. cl123\",\"g__Clostridium;s__Clostridium intestinale\",\"g__Clostridium;s__Clostridium pasteurianum\",\"g__Clostridium;s__Clostridium sp. CAG:568\",\"g__Clostridium;s__Clostridium sporogenes\",\"g__Anaerostipes;s__Anaerostipes caccae\",\"g__Butyrivibrio;s__Butyrivibrio sp. XPD2002\",\"g__Dorea;s__Dorea sp. D27\",\"g__Herbinix;s__Herbinix hemicellulosilytica\",\"g__Lachnoclostridium;s__[Clostridium] hylemonae\",\"g__Oribacterium;s__Oribacterium sp. P6A1\",\"g__Pseudobutyrivibrio;s__Pseudobutyrivibrio sp. 49\",\"g__Pseudobutyrivibrio;s__Pseudobutyrivibrio sp. AR14\",\"g__Pseudobutyrivibrio;s__Pseudobutyrivibrio sp. LB2011\",\"g__Pseudobutyrivibrio;s__Pseudobutyrivibrio sp. YE44\",\"g__Unclassified;s__Lachnospiraceae bacterium G41\",\"g__Unclassified;s__Lachnospiraceae bacterium MA2020\",\"g__Clostridioides;s__Clostridioides mangenotii\",\"g__Proteiniborus;s__Proteiniborus ethanoligenes\",\"g__Unclassified;s__Clostridiales bacterium VE202-01\",\"g__Megasphaera;s__Megasphaera sp. DISK 18\",\"g__Fusobacterium;s__Fusobacterium varium\",\"g__Unclassified;s__Lentisphaerae bacterium GWF2_57_35\",\"g__Gimesia;s__Gimesia maris\",\"g__Acetobacter;s__Acetobacter sp. CAG:977\",\"g__Haemophilus;s__Haemophilus sp. HMSC068C11\",\"g__Sphaerochaeta;s__Sphaerochaeta pleomorpha\",\"g__Cloacibacillus;s__Cloacibacillus porcorum\",\"g__Unclassified;s__uncultured bacterium Contig1761\",\"g__Unclassified;s__Bacteroides phage B40-8\",\"g__Porphyromonas;s__Porphyromonas gingivalis\",\"g__Porphyromonas;s__Porphyromonas uenonis\",\"g__Prevotella;s__Prevotella sp. CAG:592\",\"g__Prevotella;s__Prevotella sp. MA2016\",\"g__Prevotella;s__Prevotella sp. ne3005\",\"g__Paenibacillus;s__Paenibacillus pectinilyticus\",\"g__Lactococcus;s__Lactococcus lactis\",\"g__Streptococcus;s__Streptococcus equinus\",\"g__Streptococcus;s__Streptococcus hyointestinalis\",\"g__Christensenella;s__Christensenella sp. AF73-05CM02\",\"g__Alkaliphilus;s__Alkaliphilus metalliredigens\",\"g__Clostridium;s__Clostridium baratii\",\"g__Clostridium;s__Clostridium homopropionicum\",\"g__Clostridium;s__Clostridium magnum\",\"g__Clostridium;s__Clostridium neonatale\",\"g__Clostridium;s__Clostridium sp. CAG:762\",\"g__Clostridium;s__Clostridium sp. DL-VIII\",\"g__Clostridium;s__Clostridium sp. KNHs214\",\"g__Pseudoramibacter;s__Pseudoramibacter alactolyticus\",\"g__Butyrivibrio;s__Butyrivibrio hungatei\",\"g__Butyrivibrio;s__Butyrivibrio sp. AC2005\",\"g__Butyrivibrio;s__Butyrivibrio sp. INlla16\",\"g__Butyrivibrio;s__Butyrivibrio sp. MC2021\",\"g__Butyrivibrio;s__Butyrivibrio sp. VCB2001\",\"g__Coprococcus;s__Coprococcus comes CAG:19\",\"g__Unclassified;s__Lachnospiraceae bacterium CAG:364\",\"g__Unclassified;s__Lachnospiraceae bacterium MD2004\",\"g__Desulfosporosinus;s__Desulfosporosinus sp. BRH_c37\",\"g__Desulfosporosinus;s__Desulfosporosinus sp. I2\",\"g__Mageeibacillus;s__Mageeibacillus indolicus\",\"g__Ruminiclostridium;s__Ruminiclostridium thermocellum\",\"g__Unclassified;s__Clostridiales bacterium DRI-13\",\"g__Unclassified;s__Clostridiales bacterium VE202-26\",\"g__Caldanaerobius;s__Caldanaerobius polysaccharolyticus\",\"g__Erysipelatoclostridium;s__Erysipelatoclostridium ramosum\",\"g__Propionispira;s__Propionispira arboris\",\"g__Veillonella;s__Veillonella montpellierensis\",\"g__Veillonella;s__Veillonella tobetsuensis\",\"g__Unclassified;s__Firmicutes bacterium CAG:536\",\"g__Unclassified;s__Lentisphaerae bacterium RIFOXYC12_FULL_60_16\",\"g__Unclassified;s__Planctomycetes bacterium SM23_32\",\"g__Sinorhizobium;s__Sinorhizobium sp. GL28\",\"g__Haemophilus;s__Haemophilus sp. CCUG 60358\",\"g__Synergistes;s__Synergistes jonesii\",\"g__Acholeplasma;s__Acholeplasma axanthum\",\"g__Unclassified;s__bacterium UASB14\",\"g__Unclassified;s__Bacillus phage AR9\",\"g__Unclassified;s__Bacteroides phage B124-14\",\"g__Bifidobacterium;s__Bifidobacterium biavatii\",\"g__Bifidobacterium;s__Bifidobacterium dentium\",\"g__Atopobium;s__Atopobium minutum\",\"g__Collinsella;s__Collinsella sp. GD7\",\"g__Bacteroides;s__Bacteroides coprosuis\",\"g__Prevotella;s__Prevotella melaninogenica\",\"g__Prevotella;s__Prevotella oralis\",\"g__Prevotella;s__Prevotella sp. BP1-148\",\"g__Prevotella;s__Prevotella sp. F0091\",\"g__Alistipes;s__Alistipes sp. ZOR0009\",\"g__Unclassified;s__Bacteroidales bacterium CF\",\"g__Bacillus;s__Bacillus azotoformans\",\"g__Bacillus;s__Bacillus thuringiensis\",\"g__Cohnella;s__Cohnella thermotolerans\",\"g__Gorillibacterium;s__Gorillibacterium sp. SN4\",\"g__Enterococcus;s__Enterococcus cecorum\",\"g__Streptococcus;s__Streptococcus sp. HMSC078H12\",\"g__Clostridium;s__Clostridium lundense\",\"g__Clostridium;s__Clostridium ragsdalei\",\"g__Clostridium;s__Clostridium saccharoperbutylacetonicum\",\"g__Clostridium;s__Clostridium sp. BNL1100\",\"g__Clostridium;s__Clostridium sp. Maddingley MBC34-26\",\"g__Clostridium;s__Clostridium sp. Marseille-P2414\",\"g__Clostridium;s__Clostridium tyrobutyricum\",\"g__Natronincola;s__Natronincola ferrireducens\",\"g__Acetobacterium;s__Acetobacterium wieringae\",\"g__Eubacterium;s__Eubacterium sp. CAG:146\",\"g__Blautia;s__Blautia hydrogenotrophica CAG:147\",\"g__Cellulosilyticum;s__Cellulosilyticum ruminicola\",\"g__Herbinix;s__Herbinix luporum\",\"g__Lachnoanaerobaculum;s__Lachnoanaerobaculum sp. MSX33\",\"g__Pseudobutyrivibrio;s__Pseudobutyrivibrio ruminis\",\"g__Robinsoniella;s__Robinsoniella sp. RHS\",\"g__Unclassified;s__Lachnospiraceae bacterium AD3010\",\"g__Unclassified;s__Lachnospiraceae bacterium NK4A179\",\"g__Unclassified;s__Lachnospiraceae bacterium oral taxon 500\",\"g__Dehalobacter;s__Dehalobacter sp. UNSWDHB\",\"g__Desulfosporosinus;s__Desulfosporosinus youngiae\",\"g__Desulfotomaculum;s__Desulfotomaculum ruminis\",\"g__Ruminococcus;s__Ruminococcus sp. FC2018\",\"g__Unclassified;s__Ruminococcaceae bacterium AE2021\",\"g__Unclassified;s__Erysipelotrichaceae bacterium CAG:64\",\"g__Unclassified;s__Erysipelotrichaceae bacterium MTC7\",\"g__Acidaminococcus;s__Acidaminococcus sp. Marseille-P2764\",\"g__Anaerovibrio;s__Anaerovibrio lipolyticus\",\"g__Acetonema;s__Acetonema longum\",\"g__Thermosinus;s__Thermosinus carboxydivorans\",\"g__Megasphaera;s__Megasphaera sp. MJR8396C\",\"g__Kallipyga;s__Kallipyga massiliensis\",\"g__Desulfobulbus;s__Desulfobulbus japonicus\",\"g__Citrobacter;s__Citrobacter pasteurii\",\"g__Haemophilus;s__Haemophilus haemolyticus\",\"g__Treponema;s__Treponema bryantii\",\"g__Unclassified;s__uncultured bacterium Contig203\",\"g__Unclassified;s__Verrucomicrobia bacterium IMCC26134\",\"g__Unclassified;s__Clostridium phage phiCTP1\",\"g__Potexvirus;s__Pitaya virus X\",\"g__Senegalimassilia;s__Senegalimassilia anaerobia\",\"g__Unclassified;s__Coriobacteriaceae bacterium CHKCI002\",\"g__Slackia;s__Slackia heliotrinireducens\",\"g__Slackia;s__Slackia piriformis\",\"g__Bacteroides;s__Bacteroides sp. CAG:1060\",\"g__Bacteroides;s__Bacteroides sp. HMSC073E02\",\"g__Bacteroides;s__Bacteroides sp. SM23_62\",\"g__Bacteroides;s__Bacteroides vulgatus CAG:6\",\"g__Proteiniphilum;s__Proteiniphilum acetatigenes\",\"g__Prevotella;s__Prevotella pleuritidis\",\"g__Prevotella;s__Prevotella sp. ICM33\",\"g__Prevotella;s__Prevotella sp. khp1\",\"g__Unclassified;s__Cytophagaceae bacterium SCN 52-12\",\"g__Sphingobacterium;s__Sphingobacterium paucimobilis\",\"g__Brevibacillus;s__Brevibacillus sp. CF112\",\"g__Lactobacillus;s__Lactobacillus salivarius\",\"g__Streptococcus;s__Streptococcus porci\",\"g__Streptococcus;s__Streptococcus pyogenes\",\"g__Anaerosalibacter;s__Anaerosalibacter sp. ND1\",\"g__Clostridium;s__Clostridium ljungdahlii\",\"g__Clostridium;s__Clostridium paraputrificum\",\"g__Clostridium;s__Clostridium sp. CL-2\",\"g__Clostridium;s__Clostridium ventriculi\",\"g__Fervidicella;s__Fervidicella metallireducens\",\"g__Acidaminobacter;s__Acidaminobacter hydrogenoformans\",\"g__Eubacterium;s__Eubacterium aggregans\",\"g__Eubacterium;s__Eubacterium sp. 3_1_31\",\"g__Butyrivibrio;s__Butyrivibrio sp. AE2015\",\"g__Butyrivibrio;s__Butyrivibrio sp. Su6\",\"g__Butyrivibrio;s__Butyrivibrio sp. TB\",\"g__Butyrivibrio;s__Butyrivibrio sp. VCD2006\",\"g__Shuttleworthia;s__Shuttleworthia sp. MSX8B\",\"g__Unclassified;s__Lachnospiraceae bacterium AC2028\",\"g__Unclassified;s__Lachnospiraceae bacterium C10\",\"g__Unclassified;s__Lachnospiraceae bacterium oral taxon 082\",\"g__Desulfitobacterium;s__Desulfitobacterium metallireducens\",\"g__Desulfosporosinus;s__Desulfosporosinus acididurans\",\"g__Ruminococcus;s__Ruminococcus sp. AT10\",\"g__Ruminococcus;s__Ruminococcus sp. CAG:353\",\"g__Ruminococcus;s__Ruminococcus sp. CAG:90\",\"g__Gottschalkia;s__Gottschalkia acidurici\",\"g__Unclassified;s__Clostridiales bacterium MCWD3\",\"g__Catenibacterium;s__Catenibacterium sp. CAG:290\",\"g__Anaerosporomusa;s__Anaerosporomusa subterranea\",\"g__Propionispora;s__Propionispora sp. 2_2-37\",\"g__Megasphaera;s__Megasphaera paucivorans\",\"g__Veillonella;s__Veillonella seminalis\",\"g__Kallipyga;s__Kallipyga sp. GM4\",\"g__Desulfatirhabdium;s__Desulfatirhabdium butyrativorans\",\"g__Desulfovibrio;s__Desulfovibrio cuneatus\",\"g__Desulfovibrio;s__Desulfovibrio sp. 3_1_syn3\",\"g__Succinivibrio;s__Succinivibrio dextrinosolvens\",\"g__Shigella;s__Shigella flexneri\",\"g__Candidatus Marispirochaeta;s__Candidatus Marispirochaeta associata\",\"g__Sphaerochaeta;s__Sphaerochaeta coccoides\",\"g__Treponema;s__Treponema azotonutricium\",\"g__Treponema;s__Treponema denticola\",\"g__Acholeplasma;s__Acholeplasma equifetale\",\"g__Haloplasma;s__Haloplasma contractile\",\"g__Unclassified;s__bacterium OL-1\",\"g__Unclassified;s__uncultured bacterium Contig643\",\"g__Akkermansia;s__Akkermansia sp. KLE1605\",\"g__Haloferula;s__Haloferula sp. BvORR071\",\"g__Bifidobacterium;s__Bifidobacterium adolescentis CAG:119\",\"g__Gardnerella;s__Gardnerella vaginalis\",\"g__Atopobium;s__Atopobium fossor\",\"g__Olsenella;s__Olsenella profusa\",\"g__Olsenella;s__Olsenella sp. oral taxon 807\",\"g__Collinsella;s__Collinsella stercoris\",\"g__Eggerthella;s__Eggerthella sp. YY7918\",\"g__Marinifilum;s__Marinifilum fragile\",\"g__Dysgonomonas;s__Dysgonomonas capnocytophagoides\",\"g__Unclassified;s__Porphyromonadaceae bacterium KH3R12\",\"g__Prevotella;s__Prevotella pallens\",\"g__Prevotella;s__Prevotella saccharolytica\",\"g__Prevotella;s__Prevotella scopos\",\"g__Unclassified;s__Bacteroidales bacterium Barb7\",\"g__Unclassified;s__Bacteroidales bacterium KHT7\",\"g__Chryseobacterium;s__Chryseobacterium indologenes\",\"g__Dehalococcoides;s__Dehalococcoides mccartyi\",\"g__Bacillus;s__Bacillus bataviensis\",\"g__Gorillibacterium;s__Gorillibacterium massiliense\",\"g__Paenibacillus;s__Paenibacillus fonticola\",\"g__Paenibacillus;s__Paenibacillus ginsengihumi\",\"g__Paenibacillus;s__Paenibacillus sp. 32O-W\",\"g__Streptococcus;s__Streptococcus mitis\",\"g__Streptococcus;s__Streptococcus oralis\",\"g__Caloranaerobacter;s__Caloranaerobacter azorensis\",\"g__Clostridium;s__Clostridium acetobutylicum\",\"g__Clostridium;s__Clostridium kluyveri\",\"g__Clostridium;s__Clostridium novyi\",\"g__Clostridium;s__Clostridium sp. CAG:307\",\"g__Clostridium;s__Clostridium taeniosporum\",\"g__Clostridium;s__Clostridium tepidiprofundi\",\"g__Gracilibacter;s__Gracilibacter sp. BRH_c7a\",\"g__Butyrivibrio;s__Butyrivibrio sp. AE2005\",\"g__Butyrivibrio;s__Butyrivibrio sp. WCD2001\",\"g__Oribacterium;s__Oribacterium parvum\",\"g__Oribacterium;s__Oribacterium sinus\",\"g__Pseudobutyrivibrio;s__Pseudobutyrivibrio xylanivorans\",\"g__Unclassified;s__Lachnospiraceae bacterium AC3007\",\"g__Unclassified;s__Lachnospiraceae bacterium C6A11\",\"g__Unclassified;s__Lachnospiraceae bacterium MC2017\",\"g__Unclassified;s__Lachnospiraceae bacterium NE2001\",\"g__Unclassified;s__Lachnospiraceae bacterium NK4A136\",\"g__Unclassified;s__Lachnospiraceae bacterium P6A3\",\"g__Desulfotomaculum;s__Desulfotomaculum gibsoniae\",\"g__Syntrophobotulus;s__Syntrophobotulus glycolicus\",\"g__Unclassified;s__Peptococcaceae bacterium CEB3\",\"g__Filifactor;s__Filifactor alocis\",\"g__Terrisporobacter;s__Terrisporobacter glycolicus\",\"g__Ruminococcus;s__Ruminococcus sp. CAG:379\",\"g__Levyella;s__Levyella massiliensis\",\"g__Unclassified;s__Clostridiales bacterium GWD2_32_59\",\"g__Unclassified;s__Clostridiales bacterium oral taxon 876\",\"g__Syntrophaceticus;s__Syntrophaceticus schinkii\",\"g__Unclassified;s__Clostridia bacterium UC5.1-2H6\",\"g__Unclassified;s__Erysipelotrichaceae bacterium 5_2_54FAA\",\"g__Acidaminococcus;s__Acidaminococcus sp. CAG:542\",\"g__Anaerovibrio;s__Anaerovibrio sp. RM50\",\"g__Propionispira;s__Propionispira raffinosivorans\",\"g__Selenomonas;s__Selenomonas sp. oral taxon 126\",\"g__Selenomonas;s__Selenomonas sputigena\",\"g__Pelosinus;s__Pelosinus fermentans\",\"g__Parvimonas;s__Parvimonas sp. oral taxon 110\",\"g__Peptoniphilus;s__Peptoniphilus sp. BV3C26\",\"g__Tepidimicrobium;s__Tepidimicrobium xylanilyticum\",\"g__Cetobacterium;s__Cetobacterium sp. ZOR0034\",\"g__Leptotrichia;s__Leptotrichia sp. oral taxon 212\",\"g__Unclassified;s__Planctomycetes bacterium DG_58\",\"g__Unclassified;s__Planctomycetes bacterium RBG_16_64_12\",\"g__Comamonas;s__Comamonas kerstersii\",\"g__Desulfovibrio;s__Desulfovibrio africanus\",\"g__Anaerobiospirillum;s__Anaerobiospirillum succiniciproducens\",\"g__Vibrio;s__Vibrio parahaemolyticus\",\"g__Treponema;s__Treponema succinifaciens\",\"g__Unclassified;s__Spirochaetes bacterium GWC2_52_13\",\"g__Acholeplasma;s__Acholeplasma hippikon\",\"g__Unclassified;s__uncultured bacterium Contig1756\",\"g__Unclassified;s__uncultured bacterium Contigcl_1542\",\"g__Unclassified;s__uncultured bacterium Contigcl_38\",\"g__Unclassified;s__Cellulophaga phage phiST\",\"g__Unclassified;s__Croceibacter phage P2559S\",\"g__Unclassified;s__Croceibacter phage P2559Y\",\"g__Bifidobacterium;s__Bifidobacterium angulatum\",\"g__Bifidobacterium;s__Bifidobacterium animalis\",\"g__Bifidobacterium;s__Bifidobacterium merycicum\",\"g__Bifidobacterium;s__Bifidobacterium saguini\",\"g__Paenarthrobacter;s__Paenarthrobacter nicotinovorans\",\"g__Atopobium;s__Atopobium vaginae\",\"g__Lentimicrobium;s__Lentimicrobium saccharophilum\",\"g__Paludibacter;s__Paludibacter sp. SCN 50-10\",\"g__Porphyromonas;s__Porphyromonas asaccharolytica\",\"g__Porphyromonas;s__Porphyromonas cangingivalis\",\"g__Porphyromonas;s__Porphyromonas gingivicanis\",\"g__Alloprevotella;s__Prevotella sp. oral taxon 473\",\"g__Prevotella;s__Prevotella enoeca\",\"g__Prevotella;s__Prevotella falsenii\",\"g__Prevotella;s__Prevotella oulorum\",\"g__Prevotella;s__Prevotella shahii\",\"g__Prevotella;s__Prevotella sp. S7 MS 2\",\"g__Prevotella;s__Prevotella sp. oral taxon 306\",\"g__Prevotella;s__Prevotella sp. oral taxon 317\",\"g__Chitinophaga;s__Chitinophaga arvensicola\",\"g__Niabella;s__Niabella aurantiaca\",\"g__Unclassified;s__Bacteroidetes oral taxon 274\",\"g__Bacillus;s__Bacillus coagulans\",\"g__Bacillus;s__Bacillus sp. OK048\",\"g__Paenibacillus;s__Paenibacillus daejeonensis\",\"g__Paenibacillus;s__Paenibacillus mucilaginosus\",\"g__Paenibacillus;s__Paenibacillus oryzae\",\"g__Paenibacillus;s__Paenibacillus pasadenensis\",\"g__Paenibacillus;s__Paenibacillus sp. 1ZS3-15\",\"g__Paenibacillus;s__Paenibacillus sp. CF384\",\"g__Paenibacillus;s__Paenibacillus sp. JDR-2\",\"g__Paenibacillus;s__Paenibacillus sp. OV219\",\"g__Paenibacillus;s__Paenibacillus sp. VKM B-2647\",\"g__Paenibacillus;s__Paenibacillus stellifer\",\"g__Enterococcus;s__Enterococcus casseliflavus\",\"g__Streptococcus;s__Streptococcus sp. HMSC065H07\",\"g__Alkaliphilus;s__Alkaliphilus peptidifermentans\",\"g__Caldisalinibacter;s__Caldisalinibacter kiritimatiensis\",\"g__Caloramator;s__Caloramator australicus\",\"g__Clostridium;s__Clostridium akagii\",\"g__Clostridium;s__Clostridium argentinense\",\"g__Clostridium;s__Clostridium colicanis\",\"g__Clostridium;s__Clostridium formicaceticum\",\"g__Clostridium;s__Clostridium sp. BL8\",\"g__Clostridium;s__Clostridium sp. C8\",\"g__Clostridium;s__Clostridium sp. HMSC19A11\",\"g__Unclassified;s__Clostridiaceae bacterium mt10\",\"g__Unclassified;s__Clostridiaceae bacterium mt12\",\"g__Fusibacter;s__Fusibacter sp. 3D3\",\"g__Acetobacterium;s__Acetobacterium bakii\",\"g__Acetobacterium;s__Acetobacterium dehalogenans\",\"g__Acetobacterium;s__Acetobacterium woodii\",\"g__Eubacterium;s__Eubacterium sp. CAG:603\",\"g__Butyrivibrio;s__Butyrivibrio sp. LC3010\",\"g__Butyrivibrio;s__Butyrivibrio sp. VCB2006\",\"g__Butyrivibrio;s__Butyrivibrio sp. WCE2006\",\"g__Unclassified;s__Lachnospiraceae bacterium AC2031\",\"g__Unclassified;s__Lachnospiraceae bacterium CAG:25\",\"g__Unclassified;s__Lachnospiraceae bacterium FD2005\",\"g__Unclassified;s__Lachnospiraceae bacterium NC2008\",\"g__Unclassified;s__Lachnospiraceae bacterium XPB1003\",\"g__Desulfitibacter;s__Desulfitibacter alkalitolerans\",\"g__Desulfitobacterium;s__Desulfitobacterium dehalogenans\",\"g__Desulfosporosinus;s__Desulfosporosinus orientis\",\"g__Unclassified;s__Peptococcaceae bacterium BRH_c8a\",\"g__Peptostreptococcus;s__Peptostreptococcus anaerobius\",\"g__Ruminiclostridium;s__[Clostridium] straminisolvens\",\"g__Unclassified;s__Ruminococcaceae bacterium AB4001\",\"g__Epulopiscium;s__Epulopiscium sp. _N.t. morphotype B_\",\"g__Unclassified;s__Clostridiales bacterium GWC2_40_7\",\"g__Unclassified;s__Clostridiales bacterium GWD2_32_19\",\"g__Unclassified;s__Clostridiales bacterium GWE2_32_10\",\"g__Unclassified;s__Clostridiales bacterium VE202-08\",\"g__Tepidanaerobacter;s__Tepidanaerobacter acetatoxydans\",\"g__Unclassified;s__Erysipelotrichaceae bacterium I46\",\"g__Selenomonas;s__Selenomonas noxia\",\"g__Selenomonas;s__Selenomonas sp. AE3005\",\"g__Selenomonas;s__Selenomonas sp. oral taxon 920\",\"g__Anaeroarcus;s__Anaeroarcus burkinensis\",\"g__Pelosinus;s__Pelosinus sp. UFO1\",\"g__Unclassified;s__Tissierellia bacterium S5-A11\",\"g__Fusobacterium;s__Fusobacterium sp. CAG:439\",\"g__Phycisphaera;s__Phycisphaera mikurensis\",\"g__Unclassified;s__Phycisphaerae bacterium SM1_79\",\"g__Gemmata;s__Gemmata sp. SH-PL17\",\"g__Pirellula;s__Pirellula sp. SH-Sr6A\",\"g__Unclassified;s__Planctomycetes bacterium GWF2_50_10\",\"g__Unclassified;s__Planctomycetes bacterium RBG_13_63_9\",\"g__Magnetococcus;s__Magnetococcus marinus\",\"g__Lawsonia;s__Lawsonia intracellularis\",\"g__Geobacter;s__Geobacter sp. M18\",\"g__Campylobacter;s__Campylobacter coli\",\"g__Thiohalocapsa;s__Thiohalocapsa sp. ML1\",\"g__Shigella;s__Shigella dysenteriae\",\"g__Serratia;s__Serratia sp. HMSC15F11\",\"g__Gilliamella;s__Gilliamella apicola\",\"g__Brachyspira;s__Brachyspira alvinipulli\",\"g__Sediminispirochaeta;s__Sediminispirochaeta smaragdinae\",\"g__Treponema;s__Treponema brennaborense\",\"g__Treponema;s__Treponema saccharophilum\",\"g__Unclassified;s__Spirochaetes bacterium RIFOXYC1_FULL_54_7\",\"g__Synergistes;s__Synergistes sp. 3_1_syn1\",\"g__Acholeplasma;s__Acholeplasma granularum\",\"g__Unclassified;s__bacterium F083\",\"g__Unclassified;s__bacterium P3\",\"g__Unclassified;s__candidate division TM6 bacterium GW2011_GWF2_37_49\",\"g__Unclassified;s__uncultured bacterium IN-02\",\"g__Unclassified;s__uncultured bacterium scaffold00056\",\"g__Trichophyton;s__Trichophyton violaceum\",\"g__Unclassified;s__Actinomyces virus Av1\",\"g__Methanomassiliicoccus;s__Candidatus Methanomassiliicoccus intestinalis\",\"g__Bifidobacterium;s__Bifidobacterium pseudocatenulatum CAG:263\",\"g__Bifidobacterium;s__Bifidobacterium pullorum\",\"g__Bifidobacterium;s__Bifidobacterium subtile\",\"g__Olsenella;s__Olsenella sp. KH3B4\",\"g__Collinsella;s__Collinsella sp. CAG:289\",\"g__Denitrobacterium;s__Denitrobacterium detoxificans\",\"g__Enterorhabdus;s__Enterorhabdus caecimuris\",\"g__Chthonomonas;s__Chthonomonas calidirosea\",\"g__Bacteroides;s__Bacteroides fragilis CAG:47\",\"g__Marinilabilia;s__Marinilabilia salmonicolor\",\"g__Saccharicrinis;s__Saccharicrinis fermentans\",\"g__Petrimonas;s__Petrimonas mucosa\",\"g__Porphyromonas;s__Porphyromonas crevioricanis\",\"g__Porphyromonas;s__Porphyromonas gulae\",\"g__Porphyromonas;s__Porphyromonas sp. COT-239 OH1446\",\"g__Porphyromonas;s__Porphyromonas sp. COT-290 OH3588\",\"g__Unclassified;s__Porphyromonadaceae bacterium COT-184 OH4590\",\"g__Prevotella;s__Prevotella loescheii\",\"g__Prevotella;s__Prevotella marshii\",\"g__Prevotella;s__Prevotella sp. RM4\",\"g__Prevotella;s__Prevotella sp. oral taxon 299\",\"g__Prevotella;s__Prevotella sp. oral taxon 472\",\"g__Draconibacterium;s__Draconibacterium sediminis\",\"g__Prolixibacter;s__Prolixibacter bellariivorans\",\"g__Sunxiuqinia;s__Sunxiuqinia dokdonensis\",\"g__Unclassified;s__Bacteroidales bacterium Barb6\",\"g__Chitinophaga;s__Chitinophaga rupis\",\"g__Leadbetterella;s__Leadbetterella byssophila\",\"g__Runella;s__Runella zeae\",\"g__Pontibacter;s__Pontibacter korlensis\",\"g__Elizabethkingia;s__Elizabethkingia anophelis\",\"g__Maribacter;s__Maribacter sp. MAR_2009_60\",\"g__Ornithobacterium;s__Ornithobacterium rhinotracheale\",\"g__Mucilaginibacter;s__Mucilaginibacter paludis\",\"g__Unclassified;s__Bacteroidetes bacterium GWA2_32_17\",\"g__Unclassified;s__Candidatus Margulisbacteria bacterium GWF2_35_9\",\"g__Unclassified;s__Candidatus Riflebacteria bacterium GWC2_50_8\",\"g__Anaerolinea;s__Anaerolinea thermolimosa\",\"g__Unclassified;s__Chloroflexi bacterium RBG_16_54_18\",\"g__Lysinibacillus;s__Lysinibacillus sphaericus\",\"g__Aneurinibacillus;s__Aneurinibacillus migulanus\",\"g__Brevibacillus;s__Brevibacillus panacihumi\",\"g__Paenibacillus;s__Paenibacillus alvei\",\"g__Paenibacillus;s__Paenibacillus antibioticophila\",\"g__Paenibacillus;s__Paenibacillus macerans\",\"g__Paenibacillus;s__Paenibacillus naphthalenovorans\",\"g__Paenibacillus;s__Paenibacillus sp. SIT18\",\"g__Paenibacillus;s__Paenibacillus sp. UNC451MF\",\"g__Paenibacillus;s__Paenibacillus sp. URHA0014\",\"g__Sporosarcina;s__Sporosarcina ureae\",\"g__Sporolactobacillus;s__Sporolactobacillus laevolacticus\",\"g__Enterococcus;s__Enterococcus columbae\",\"g__Enterococcus;s__Enterococcus pallens\",\"g__Streptococcus;s__Streptococcus agalactiae\",\"g__Streptococcus;s__Streptococcus dysgalactiae\",\"g__Streptococcus;s__Streptococcus parasanguinis\",\"g__Alkaliphilus;s__Alkaliphilus oremlandii\",\"g__Clostridium;s__Clostridium aceticum\",\"g__Clostridium;s__Clostridium arbusti\",\"g__Clostridium;s__Clostridium carboxidivorans\",\"g__Clostridium;s__Clostridium celatum\",\"g__Clostridium;s__Clostridium cylindrosporum\",\"g__Clostridium;s__Clostridium diolis\",\"g__Clostridium;s__Clostridium hydrogeniformans\",\"g__Clostridium;s__Clostridium saccharobutylicum\",\"g__Clostridium;s__Clostridium sp. HGF2\",\"g__Clostridium;s__Clostridium sulfidigenes\",\"g__Clostridium;s__Clostridium tunisiense\",\"g__Natronincola;s__Natronincola peptidivorans\",\"g__Unclassified;s__Clostridiaceae bacterium BRH_c20a\",\"g__Unclassified;s__[Eubacterium] nodatum\",\"g__Heliobacterium;s__Heliobacterium modesticaldum\",\"g__Butyrivibrio;s__Butyrivibrio sp. AD3002\",\"g__Butyrivibrio;s__Butyrivibrio sp. AE3004\",\"g__Butyrivibrio;s__Butyrivibrio sp. AE3006\",\"g__Butyrivibrio;s__Butyrivibrio sp. FC2001\",\"g__Butyrivibrio;s__Butyrivibrio sp. FCS014\",\"g__Butyrivibrio;s__Butyrivibrio sp. INlla18\",\"g__Butyrivibrio;s__Butyrivibrio sp. MB2005\",\"g__Butyrivibrio;s__Butyrivibrio sp. NC2002\",\"g__Butyrivibrio;s__Butyrivibrio sp. WCD3002\",\"g__Dorea;s__Dorea longicatena CAG:42\",\"g__Oribacterium;s__Oribacterium asaccharolyticum\",\"g__Roseburia;s__Roseburia sp. CAG:50\",\"g__Unclassified;s__Lachnospiraceae bacterium A10\",\"g__Unclassified;s__Lachnospiraceae bacterium NK4A144\",\"g__Dehalobacter;s__Dehalobacter sp. TeCB1\",\"g__Desulfosporosinus;s__Desulfosporosinus sp. BG\",\"g__Desulfosporosinus;s__Desulfosporosinus sp. OT\",\"g__Desulfotomaculum;s__Desulfotomaculum alcoholivorax\",\"g__Desulfotomaculum;s__Desulfotomaculum sp. 46_296\",\"g__Unclassified;s__Peptococcaceae bacterium BICA1-8\",\"g__Unclassified;s__Peptococcaceae bacterium BRH_c4a\",\"g__Peptostreptococcus;s__Peptostreptococcus sp. MV1\",\"g__Proteocatella;s__Proteocatella sphenisci\",\"g__Ruminococcus;s__Ruminococcus sp. CAG:55\",\"g__Unclassified;s__Ruminococcaceae bacterium KH2T8\",\"g__Gottschalkia;s__[Clostridium] purinilyticum\",\"g__Unclassified;s__Clostridiales bacterium KA00274\",\"g__Unclassified;s__Clostridiales bacterium VE202-29\",\"g__Moorella;s__Moorella glycerini\",\"g__Moorella;s__Moorella thermoacetica\",\"g__Thermoanaerobacterium;s__Thermoanaerobacterium thermosaccharolyticum\",\"g__Unclassified;s__Thermoanaerobacterales bacterium 50_218\",\"g__Faecalibaculum;s__Faecalibaculum rodentium\",\"g__Selenomonas;s__Selenomonas artemidis\",\"g__Anaeromusa;s__Anaeromusa acidaminophila\",\"g__Veillonella;s__Veillonella magna\",\"g__Veillonella;s__Veillonella sp. ACP1\",\"g__Finegoldia;s__Finegoldia magna\",\"g__Murdochiella;s__Murdochiella sp. SIT12\",\"g__Peptoniphilus;s__Peptoniphilus grossensis\",\"g__Planctomyces;s__Planctomyces sp. SH-PL14\",\"g__Planctomyces;s__Planctomyces sp. SH-PL62\",\"g__Unclassified;s__Planctomycetes bacterium RBG_16_55_9\",\"g__Burkholderia;s__Burkholderia ubonensis\",\"g__Comamonas;s__Comamonas testosteroni\",\"g__Herbaspirillum;s__Herbaspirillum rubrisubalbicans\",\"g__Ferrovum;s__Ferrovum myxofaciens\",\"g__Desulfatiglans;s__Desulfatiglans anilini\",\"g__Desulfobacterium;s__uncultured Desulfobacterium sp.\",\"g__Desulfoluna;s__Desulfoluna spongiiphila\",\"g__Desulfonatronovibrio;s__Desulfonatronovibrio magnus\",\"g__Desulfovibrio;s__Desulfovibrio alaskensis\",\"g__Desulfovibrio;s__Desulfovibrio gigas\",\"g__Desulfovibrio;s__Desulfovibrio magneticus\",\"g__Syntrophobacter;s__Syntrophobacter fumaroxidans\",\"g__Helicobacter;s__Helicobacter pametensis\",\"g__Ruminobacter;s__Ruminobacter sp. RM87\",\"g__Succinimonas;s__Succinimonas amylolytica\",\"g__Enterobacter;s__Enterobacter hormaechei\",\"g__Serratia;s__Serratia sp. DD3\",\"g__Actinobacillus;s__Actinobacillus minor\",\"g__Haemophilus;s__Haemophilus sputorum\",\"g__Sediminispirochaeta;s__Sediminispirochaeta bajacaliforniensis\",\"g__Treponema;s__Treponema pedis\",\"g__Treponema;s__Treponema sp. JC4\",\"g__Aminobacterium;s__Aminobacterium colombiense\",\"g__Candidatus Izimaplasma;s__Candidatus Izimaplasma sp. HR2\",\"g__Petrotoga;s__Petrotoga mobilis\",\"g__Unclassified;s__bacterium UASB270\",\"g__Unclassified;s__uncultured bacterium Contig13\",\"g__Unclassified;s__uncultured bacterium Contig21\",\"g__Unclassified;s__uncultured bacterium EB5\",\"g__Pedosphaera;s__Pedosphaera parvula\",\"g__Unclassified;s__Bacillus phage vB_BpuM-BpSp\",\"g__Unclassified;s__Pelagibacter phage HTVC008M\",\"g__Unclassified;s__unidentified virus\",\"g__Methanomicrobium;s__Methanomicrobium mobile\",\"g__Methanosarcina;s__Methanosarcina barkeri\",\"g__Terracidiphilus;s__Terracidiphilus gabretensis\",\"g__Unclassified;s__Acidobacteriaceae bacterium KBS 96\",\"g__Bifidobacterium;s__Bifidobacterium bifidum CAG:234\",\"g__Bifidobacterium;s__Bifidobacterium callitrichos\",\"g__Bifidobacterium;s__Bifidobacterium saeculare\",\"g__Microbacterium;s__Microbacterium laevaniformans\",\"g__Collinsella;s__Collinsella sp. MS5\",\"g__Unclassified;s__Coriobacteriaceae bacterium 68-1-3\",\"g__Adlercreutzia;s__Adlercreutzia equolifaciens\",\"g__Cryptobacterium;s__Cryptobacterium sp. CAG:338\",\"g__Fimbriimonas;s__Fimbriimonas ginsengisoli\",\"g__Bacteroides;s__Bacteroides sp. D1\",\"g__Dysgonomonas;s__Dysgonomonas sp. HGC4\",\"g__Paludibacter;s__Paludibacter jiangxiensis\",\"g__Paludibacter;s__Paludibacter propionicigenes\",\"g__Prevotella;s__Prevotella aurantiaca\",\"g__Prevotella;s__Prevotella sp. HMSC073D09\",\"g__Prevotella;s__Prevotella sp. khp7\",\"g__Draconibacterium;s__Draconibacterium orientale\",\"g__Alistipes;s__Alistipes sp. CAG:514\",\"g__Unclassified;s__Bacteroidales bacterium 6E\",\"g__Unclassified;s__Bacteroidales bacterium Barb4\",\"g__Unclassified;s__Bacteroidales bacterium KA00251\",\"g__Filimonas;s__Filimonas lacunae\",\"g__Niabella;s__Niabella ginsenosidivorans\",\"g__Unclassified;s__Chitinophagaceae bacterium PMP191F\",\"g__Algoriphagus;s__Algoriphagus boritolerans\",\"g__Flexibacter;s__Flexibacter roseolus\",\"g__Spirosoma;s__Spirosoma luteum\",\"g__Rufibacter;s__Rufibacter sp. DG15C\",\"g__Algibacter;s__Algibacter sp. SK-16\",\"g__Capnocytophaga;s__Capnocytophaga granulosa\",\"g__Capnocytophaga;s__Capnocytophaga sp. oral taxon 332\",\"g__Flavobacterium;s__Flavobacterium chilense\",\"g__Flavobacterium;s__Flavobacterium sp. Fl\",\"g__Flavobacterium;s__Flavobacterium succinicans\",\"g__Gillisia;s__Gillisia sp. JM1\",\"g__Polaribacter;s__Polaribacter sp. Hel_I_88\",\"g__Riemerella;s__Riemerella anatipestifer\",\"g__Pedobacter;s__Pedobacter sp. ok626\",\"g__Pedobacter;s__Pedobacter steynii\",\"g__Solitalea;s__Solitalea canadensis\",\"g__Labilibacter;s__Labilibacter sp. HQYD1\",\"g__Unclassified;s__Bacteroidetes bacterium oral taxon 272\",\"g__Longilinea;s__Longilinea arvoryzae\",\"g__Unclassified;s__Chloroflexi bacterium RBG_16_64_32\",\"g__Chrysiogenes;s__Chrysiogenes arsenatis\",\"g__Moorea;s__Moorea producens\",\"g__Effusibacillus;s__Effusibacillus pohliae\",\"g__Amphibacillus;s__Amphibacillus jilinensis\",\"g__Amphibacillus;s__Amphibacillus marinus\",\"g__Bacillus;s__Bacillus acidicola\",\"g__Bacillus;s__Bacillus caseinilyticus\",\"g__Bacillus;s__Bacillus clausii\",\"g__Bacillus;s__Bacillus flexus\",\"g__Bacillus;s__Bacillus mycoides\",\"g__Bacillus;s__Bacillus paralicheniformis\",\"g__Bacillus;s__Bacillus pumilus\",\"g__Bacillus;s__Bacillus rubiinfantis\",\"g__Bacillus;s__Bacillus sp. FJAT-20673\",\"g__Bacillus;s__Bacillus sp. FJAT-28004\",\"g__Bacillus;s__Bacillus sp. LF1\",\"g__Bacillus;s__Bacillus thermoamylovorans\",\"g__Oceanobacillus;s__Oceanobacillus massiliensis\",\"g__Thalassobacillus;s__Thalassobacillus devorans\",\"g__Brevibacillus;s__Brevibacillus laterosporus\",\"g__Brevibacillus;s__Brevibacillus reuszeri\",\"g__Paenibacillus;s__Paenibacillus alginolyticus\",\"g__Paenibacillus;s__Paenibacillus algorifonticola\",\"g__Paenibacillus;s__Paenibacillus beijingensis\",\"g__Paenibacillus;s__Paenibacillus dendritiformis\",\"g__Paenibacillus;s__Paenibacillus massiliensis\",\"g__Paenibacillus;s__Paenibacillus pinihumi\",\"g__Paenibacillus;s__Paenibacillus polymyxa\",\"g__Paenibacillus;s__Paenibacillus riograndensis\",\"g__Paenibacillus;s__Paenibacillus sophorae\",\"g__Paenibacillus;s__Paenibacillus sp. AT5\",\"g__Paenibacillus;s__Paenibacillus sp. FSL R7-0273\",\"g__Paenibacillus;s__Paenibacillus sp. FSL R7-0331\",\"g__Paenibacillus;s__Paenibacillus sp. Soil750\",\"g__Paenibacillus;s__Paenibacillus sp. TI45-13ar\",\"g__Granulicatella;s__Granulicatella balaenopterae\",\"g__Granulicatella;s__Granulicatella sp. HMSC31F03\",\"g__Trichococcus;s__Trichococcus collinsii\",\"g__Enterococcus;s__Enterococcus haemoperoxidus\",\"g__Enterococcus;s__Enterococcus phoeniculicola\",\"g__Lactobacillus;s__Lactobacillus harbinensis\",\"g__Lactobacillus;s__Lactobacillus johnsonii\",\"g__Lactobacillus;s__Lactobacillus reuteri\",\"g__Streptococcus;s__Streptococcus constellatus\",\"g__Streptococcus;s__Streptococcus mutans\",\"g__Streptococcus;s__Streptococcus pasteurianus\",\"g__Streptococcus;s__Streptococcus sanguinis\",\"g__Streptococcus;s__Streptococcus sp. CCH8-H5\",\"g__Streptococcus;s__Streptococcus sp. HSISS3\",\"g__Streptococcus;s__Streptococcus sp. SR4\",\"g__Streptococcus;s__Streptococcus vestibularis\",\"g__Alkaliphilus;s__Alkaliphilus transvaalensis\",\"g__Clostridium;s__Candidatus Clostridium anorexicamassiliense\",\"g__Clostridium;s__Clostridium algidicarnis\",\"g__Clostridium;s__Clostridium sartagoforme\",\"g__Clostridium;s__Clostridium sp. Ade.TY\",\"g__Clostridium;s__Clostridium sp. CAG:1000\",\"g__Clostridium;s__Clostridium sp. CAG:265\",\"g__Clostridium;s__Clostridium sp. CAG:557\",\"g__Clostridium;s__Clostridium sp. DMHC 10\",\"g__Clostridium;s__Clostridium sp. HMSC19A10\",\"g__Clostridium;s__Clostridium tetanomorphum\",\"g__Thermobrachium;s__Thermobrachium celere\",\"g__Thermotalea;s__Thermotalea metallivorans\",\"g__Mogibacterium;s__Mogibacterium sp. Marseille-P3115\",\"g__Unclassified;s__[Eubacterium] sulci\",\"g__Butyrivibrio;s__Butyrivibrio sp. AE3009\",\"g__Butyrivibrio;s__Butyrivibrio sp. LB2008\",\"g__Butyrivibrio;s__Butyrivibrio sp. NC2007\",\"g__Lachnoanaerobaculum;s__Lachnoanaerobaculum sp. ICM7\",\"g__Shuttleworthia;s__Shuttleworthia satelles\",\"g__Dehalobacter;s__Dehalobacter restrictus\",\"g__Desulfitobacterium;s__Desulfitobacterium dichloroeliminans\",\"g__Desulfosporosinus;s__Desulfosporosinus hippei\",\"g__Desulfotomaculum;s__Desulfotomaculum acetoxidans\",\"g__Desulfotomaculum;s__Desulfotomaculum intricatum\",\"g__Desulfotomaculum;s__Desulfotomaculum reducens\",\"g__Desulfotomaculum;s__Desulfotomaculum sp. BICA1-6\",\"g__Unclassified;s__Peptococcaceae bacterium BICA1-7\",\"g__Peptoanaerobacter;s__[Eubacterium] yurii\",\"g__Peptoclostridium;s__Peptoclostridium litorale\",\"g__Unclassified;s__Peptostreptococcaceae bacterium AS15\",\"g__Unclassified;s__[Clostridium] hiranonis\",\"g__Ruminococcus;s__Ruminococcus torques CAG:61\",\"g__Unclassified;s__Ruminococcaceae bacterium YAD3003\",\"g__Syntrophomonas;s__Syntrophomonas wolfei\",\"g__Unclassified;s__Clostridiales bacterium PH28_bin88\",\"g__Unclassified;s__Clostridiales bacterium SIT11\",\"g__Caldicellulosiruptor;s__Caldicellulosiruptor kronotskyensis\",\"g__Eggerthia;s__Eggerthia catenaformis\",\"g__Centipeda;s__Centipeda periodontii\",\"g__Mitsuokella;s__Mitsuokella sp. oral taxon 131\",\"g__Selenomonas;s__Selenomonas flueggei\",\"g__Selenomonas;s__Selenomonas infelix\",\"g__Selenomonas;s__Selenomonas sp. oral taxon 136\",\"g__Dendrosporobacter;s__Dendrosporobacter quercicolus\",\"g__Anaeroglobus;s__Anaeroglobus geminatus\",\"g__Veillonella;s__Veillonella sp. HPA0037\",\"g__Helcococcus;s__Helcococcus sueciensis\",\"g__Peptoniphilus;s__Peptoniphilus sp. SIT15\",\"g__Unclassified;s__Peptoniphilaceae bacterium SIT14\",\"g__Unclassified;s__Tissierellia bacterium KA00581\",\"g__Unclassified;s__Firmicutes bacterium CAG:308\",\"g__Fusobacterium;s__Fusobacterium sp. OBRC1\",\"g__Ilyobacter;s__Ilyobacter polytropus\",\"g__Psychrilyobacter;s__Psychrilyobacter atlanticus\",\"g__Unclassified;s__Lentisphaerae bacterium RIFOXYB12_FULL_60_10\",\"g__Rhodopirellula;s__Rhodopirellula sp. SWK7\",\"g__Rubripirellula;s__Rubripirellula obstinata\",\"g__Unclassified;s__Planctomycetes bacterium RBG_13_62_9\",\"g__Micavibrio;s__Micavibrio aeruginosavorus\",\"g__Bordetella;s__Bordetella parapertussis\",\"g__Unclassified;s__Burkholderiales bacterium GJ-E10\",\"g__Stenoxybacter;s__Stenoxybacter acetivorans\",\"g__Desulfocarbo;s__Desulfocarbo indianensis\",\"g__Desulfococcus;s__Desulfococcus oleovorans\",\"g__Desulforegula;s__Desulforegula conservatrix\",\"g__Desulfovibrio;s__Desulfovibrio aminophilus\",\"g__Desulfovibrio;s__Desulfovibrio bastinii\",\"g__Desulfovibrio;s__Desulfovibrio sp. A2\",\"g__Desulfovibrio;s__Desulfovibrio sp. J2\",\"g__Desulfovibrio;s__Desulfovibrio sp. TomC\",\"g__Desulfovibrio;s__Desulfovibrio sp. U5L\",\"g__Desulfovibrio;s__Desulfovibrio sp. X2\",\"g__Halodesulfovibrio;s__Halodesulfovibrio aestuarii\",\"g__Pelobacter;s__Pelobacter seleniigenes\",\"g__Geobacter;s__Geobacter lovleyi\",\"g__Syntrophus;s__Syntrophus gentianae\",\"g__Unclassified;s__Deltaproteobacteria bacterium RBG_16_48_10\",\"g__Campylobacter;s__Campylobacter fetus\",\"g__Enterobacter;s__Enterobacter cloacae\",\"g__Escherichia;s__Escherichia fergusonii\",\"g__Shigella;s__Shigella sp. SF-2015\",\"g__Bibersteinia;s__Bibersteinia trehalosi\",\"g__Gallibacterium;s__Gallibacterium anatis\",\"g__Pseudomonas;s__Pseudomonas aeruginosa\",\"g__Pseudomonas;s__Pseudomonas pseudoalcaligenes\",\"g__Thiomargarita;s__Candidatus Thiomargarita nelsonii\",\"g__Unclassified;s__Gammaproteobacteria bacterium 2W06\",\"g__Vibrio;s__Vibrio cholerae\",\"g__Vibrio;s__Vibrio vulnificus\",\"g__Brachyspira;s__Brachyspira hampsonii\",\"g__Brachyspira;s__Brachyspira hyodysenteriae\",\"g__Brachyspira;s__Brachyspira pilosicoli\",\"g__Spirochaeta;s__Spirochaeta sp. JC202\",\"g__Treponema;s__Treponema lecithinolyticum\",\"g__Treponema;s__Treponema maltophilum\",\"g__Treponema;s__Treponema phagedenis\",\"g__Treponema;s__Treponema sp. C6A8\",\"g__Treponema;s__Treponema vincentii\",\"g__Leptospira;s__Leptospira mayottensis\",\"g__Unclassified;s__Spirochaetes bacterium GWB1_59_5\",\"g__Aminobacterium;s__Aminobacterium mobile\",\"g__Thermobaculum;s__Thermobaculum terrenum\",\"g__Unclassified;s__bacterium A37T11\",\"g__Unclassified;s__uncultured bacterium 25H09\",\"g__Unclassified;s__uncultured bacterium 32o03\",\"g__Unclassified;s__uncultured bacterium Contig1604\",\"g__Unclassified;s__uncultured bacterium Contig17\",\"g__Unclassified;s__uncultured bacterium Contig90\",\"g__Unclassified;s__uncultured bacterium Contigcl_22\",\"g__Opitutus;s__Opitutus terrae\",\"g__Unclassified;s__Opitutaceae bacterium TAV3\",\"g__Unclassified;s__Opitutaceae bacterium TAV4\",\"g__Verrucomicrobium;s__Verrucomicrobium sp. BvORR034\",\"g__Unclassified;s__candidate division NC10 bacterium RBG_16_65_8\",\"g__Spizellomyces;s__Spizellomyces punctatus\",\"g__Unclassified;s__Rhodococcus phage E3\",\"g__Bracovirus;s__Cotesia sesamiae bracovirus\",\"g__Methanocorpusculum;s__Methanocorpusculum labreanum\",\"g__Methanosarcina;s__Methanosarcina mazei\",\"g__Candidatus Methanoplasma;s__Candidatus Methanoplasma termitum\",\"g__Acidobacterium;s__Acidobacterium ailaaui\",\"g__Holophaga;s__Holophaga foetida\",\"g__Candidatus Solibacter;s__Candidatus Solibacter usitatus\",\"g__Alloscardovia;s__Alloscardovia criceti\",\"g__Bifidobacterium;s__Bifidobacterium moukalabense\",\"g__Bifidobacterium;s__Bifidobacterium sp. 12_1_47BFAA\",\"g__Bifidobacterium;s__Bifidobacterium sp. MSTE12\",\"g__Bifidobacterium;s__Bifidobacterium stellenboschense\",\"g__Scardovia;s__Scardovia inopinata\",\"g__Mycobacterium;s__Mycobacterium tuberculosis\",\"g__Jiangella;s__Jiangella alba\",\"g__Jiangella;s__Jiangella sp. DSM 45060\",\"g__Leucobacter;s__Leucobacter sp. G161\",\"g__Actinopolymorpha;s__Actinopolymorpha alba\",\"g__Olsenella;s__Olsenella sp. DNF00959\",\"g__Olsenella;s__Olsenella sp. KHD7\",\"g__Collinsella;s__Collinsella sp. CAG:398\",\"g__Coriobacterium;s__Coriobacterium glomerans\",\"g__Enorma;s__Enorma massiliensis\",\"g__Eggerthella;s__Eggerthella sp. 1_3_56FAA\",\"g__Eggerthella;s__Eggerthella sp. CAG:209\",\"g__Eggerthella;s__Eggerthella sp. CAG:298\",\"g__Eggerthella;s__Eggerthella sp. HGA1\",\"g__Solirubrobacter;s__Solirubrobacter sp. URHD0082\",\"g__Bacteroides;s__Bacteroides sp. 3_2_5\",\"g__Anaerophaga;s__Anaerophaga thermohalophila\",\"g__Geofilum;s__Geofilum rubicundum\",\"g__Saccharicrinis;s__Saccharicrinis marinus\",\"g__Thermophagus;s__Thermophagus xiamenensis\",\"g__Parabacteroides;s__Parabacteroides sp. D25\",\"g__Porphyromonas;s__Porphyromonas canoris\",\"g__Porphyromonas;s__Porphyromonas levii\",\"g__Porphyromonas;s__Porphyromonas somerae\",\"g__Porphyromonas;s__Porphyromonas sp. CAG:1061\",\"g__Porphyromonas;s__Porphyromonas sp. HMSC065F10\",\"g__Porphyromonas;s__Porphyromonas sp. HMSC077F02\",\"g__Prevotella;s__Prevotella aff. ruminicola Tc2-24\",\"g__Prevotella;s__Prevotella sp. HJM029\",\"g__Prevotella;s__Prevotella sp. HMSC069G02\",\"g__Prevotella;s__Prevotella sp. lc2012\",\"g__Unclassified;s__Bacteroidales bacterium Barb6XT\",\"g__Chitinophaga;s__Chitinophaga costaii\",\"g__Niabella;s__Niabella drilacis\",\"g__Niastella;s__Niastella koreensis\",\"g__Niastella;s__Niastella yeongjuensis\",\"g__Mariniradius;s__Mariniradius saccharolyticus\",\"g__Dyadobacter;s__Dyadobacter tibetensis\",\"g__Fibrella;s__Fibrella aestuarina\",\"g__Runella;s__Runella slithyformis\",\"g__Flammeovirga;s__Flammeovirga sp. SJP92\",\"g__Unclassified;s__Flammeovirgaceae bacterium 311\",\"g__Pontibacter;s__Pontibacter roseus\",\"g__Aquimarina;s__Aquimarina macrocephali\",\"g__Capnocytophaga;s__Capnocytophaga canis\",\"g__Capnocytophaga;s__Capnocytophaga gingivalis\",\"g__Chryseobacterium;s__Chryseobacterium gallinarum\",\"g__Chryseobacterium;s__Chryseobacterium greenlandense\",\"g__Chryseobacterium;s__Chryseobacterium kwangjuense\",\"g__Chryseobacterium;s__Chryseobacterium sp. ERMR1:04\",\"g__Chryseobacterium;s__Chryseobacterium sp. Leaf404\",\"g__Elizabethkingia;s__Elizabethkingia genomosp. 4\",\"g__Flavobacterium;s__Flavobacterium branchiophilum\",\"g__Flavobacterium;s__Flavobacterium columnare\",\"g__Flavobacterium;s__Flavobacterium daejeonense\",\"g__Flavobacterium;s__Flavobacterium denitrificans\",\"g__Flavobacterium;s__Flavobacterium frigoris\",\"g__Flavobacterium;s__Flavobacterium psychrophilum\",\"g__Flavobacterium;s__Flavobacterium seoulense\",\"g__Flavobacterium;s__Flavobacterium sp. KJJ\",\"g__Formosa;s__Formosa sp. Hel3_A1_48\",\"g__Gillisia;s__Gillisia sp. CAL575\",\"g__Gramella;s__Gramella forsetii\",\"g__Lutibacter;s__Lutibacter oricola\",\"g__Lutibacter;s__Lutibacter sp. BRH_c52\",\"g__Mangrovimonas;s__Mangrovimonas sp. ST2L15\",\"g__Riemerella;s__Riemerella columbina\",\"g__Tamlana;s__Tamlana nanhaiensis\",\"g__Unclassified;s__Flavobacteria bacterium RIFCSPLOWO2_12_FULL_35_11\",\"g__Mucilaginibacter;s__Mucilaginibacter gotjawali\",\"g__Mucilaginibacter;s__Mucilaginibacter sp. L294\",\"g__Mucilaginibacter;s__Mucilaginibacter sp. OK268\",\"g__Olivibacter;s__Olivibacter sitiensis\",\"g__Pedobacter;s__Pedobacter cryoconitis\",\"g__Pedobacter;s__Pedobacter sp. CCM 8644\",\"g__Pedobacter;s__Pedobacter sp. Hv1\",\"g__Pedobacter;s__Pedobacter sp. Leaf194\",\"g__Pedobacter;s__Pedobacter sp. NL19\",\"g__Pedobacter;s__Pedobacter sp. PACM 27299\",\"g__Pedobacter;s__Pedobacter sp. V48\",\"g__Pseudopedobacter;s__Pseudopedobacter saltans\",\"g__Sphingobacterium;s__Sphingobacterium mizutaii\",\"g__Sphingobacterium;s__Sphingobacterium sp. ML3W\",\"g__Sphingobacterium;s__Sphingobacterium spiritivorum\",\"g__Unclassified;s__Sphingobacteriaceae bacterium DW12\",\"g__Salinibacter;s__Salinibacter ruber\",\"g__Unclassified;s__Rhodothermaceae bacterium RA\",\"g__Unclassified;s__Bacteroidetes bacterium 38_7\",\"g__Unclassified;s__Bacteroidetes bacterium GWE2_40_15\",\"g__Unclassified;s__Bacteroidetes bacterium RIFCSPLOWO2_12_FULL_35_15\",\"g__Unclassified;s__Bacteroidetes bacterium UKL13-3\",\"g__Unclassified;s__Omnitrophica bacterium OLB16\",\"g__Unclassified;s__Parcubacteria bacterium DG_72\",\"g__Candidatus Entotheonella;s__Candidatus Entotheonella sp. TSY2\",\"g__Parachlamydia;s__Parachlamydia sp. C2\",\"g__Chlorobium;s__Chlorobium limicola\",\"g__Pelodictyon;s__Pelodictyon luteolum\",\"g__Unclassified;s__Anaerolineae bacterium SG8_19\",\"g__Ktedonobacter;s__Ktedonobacter racemifer\",\"g__Kouleothrix;s__Kouleothrix aurantiaca\",\"g__Microcystis;s__Microcystis aeruginosa\",\"g__Denitrovibrio;s__Denitrovibrio acetiphilus\",\"g__Dictyoglomus;s__Dictyoglomus thermophilum\",\"g__Alicyclobacillus;s__Alicyclobacillus acidocaldarius\",\"g__Kyrpidia;s__Kyrpidia tusciae\",\"g__Tumebacillus;s__Tumebacillus flagellatus\",\"g__Amphibacillus;s__Amphibacillus sediminis\",\"g__Anoxybacillus;s__Anoxybacillus flavithermus\",\"g__Bacillus;s__Bacillus akibai\",\"g__Bacillus;s__Bacillus aryabhattai\",\"g__Bacillus;s__Bacillus coahuilensis\",\"g__Bacillus;s__Bacillus fastidiosus\",\"g__Bacillus;s__Bacillus megaterium\",\"g__Bacillus;s__Bacillus shackletonii\",\"g__Bacillus;s__Bacillus simplex\",\"g__Bacillus;s__Bacillus solimangrovi\",\"g__Bacillus;s__Bacillus sp. 17376\",\"g__Bacillus;s__Bacillus sp. FJAT-27916\",\"g__Bacillus;s__Bacillus sp. FJAT-29937\",\"g__Bacillus;s__Bacillus sp. SA1-12\",\"g__Bacillus;s__Bacillus subtilis\",\"g__Lysinibacillus;s__Lysinibacillus sp. FJAT-14745\",\"g__Ornithinibacillus;s__Ornithinibacillus californiensis\",\"g__Pontibacillus;s__Pontibacillus marinus\",\"g__Brochothrix;s__Brochothrix thermosphacta\",\"g__Brevibacillus;s__Brevibacillus agri\",\"g__Brevibacillus;s__Brevibacillus brevis\",\"g__Cohnella;s__Cohnella panacarvi\",\"g__Fontibacillus;s__Fontibacillus panacisegetis\",\"g__Paenibacillus;s__Paenibacillus antarcticus\",\"g__Paenibacillus;s__Paenibacillus bovis\",\"g__Paenibacillus;s__Paenibacillus chondroitinus\",\"g__Paenibacillus;s__Paenibacillus darwinianus\",\"g__Paenibacillus;s__Paenibacillus durus\",\"g__Paenibacillus;s__Paenibacillus elgii\",\"g__Paenibacillus;s__Paenibacillus etheri\",\"g__Paenibacillus;s__Paenibacillus gorillae\",\"g__Paenibacillus;s__Paenibacillus harenae\",\"g__Paenibacillus;s__Paenibacillus macquariensis\",\"g__Paenibacillus;s__Paenibacillus peoriae\",\"g__Paenibacillus;s__Paenibacillus pini\",\"g__Paenibacillus;s__Paenibacillus popilliae\",\"g__Paenibacillus;s__Paenibacillus sp. DMB20\",\"g__Paenibacillus;s__Paenibacillus sp. E194\",\"g__Paenibacillus;s__Paenibacillus sp. FF9\",\"g__Paenibacillus;s__Paenibacillus sp. FSL H7-0737\",\"g__Paenibacillus;s__Paenibacillus sp. FSL H8-237\",\"g__Paenibacillus;s__Paenibacillus sp. HGF5\",\"g__Paenibacillus;s__Paenibacillus sp. LPB0068\",\"g__Paenibacillus;s__Paenibacillus sp. MT24\",\"g__Paenibacillus;s__Paenibacillus sp. Marseille-P2472\",\"g__Paenibacillus;s__Paenibacillus sp. NFR01\",\"g__Paenibacillus;s__Paenibacillus sp. P1XP2\",\"g__Paenibacillus;s__Paenibacillus sp. Soil787\",\"g__Paenibacillus;s__Paenibacillus swuensis\",\"g__Paenibacillus;s__Paenibacillus terrigena\",\"g__Paenibacillus;s__Paenibacillus yonginensis\",\"g__Planomicrobium;s__Planomicrobium glaciei\",\"g__Sporosarcina;s__Sporosarcina globispora\",\"g__Sporolactobacillus;s__Sporolactobacillus vineae\",\"g__Lihuaxuella;s__Lihuaxuella thermophila\",\"g__Gemella;s__Gemella sp. oral taxon 928\",\"g__Aerococcus;s__Aerococcus christensenii\",\"g__Alkalibacterium;s__Alkalibacterium pelagium\",\"g__Carnobacterium;s__Carnobacterium iners\",\"g__Carnobacterium;s__Carnobacterium mobile\",\"g__Enterococcus;s__Enterococcus rotai\",\"g__Lactobacillus;s__Lactobacillus bifermentans\",\"g__Lactobacillus;s__Lactobacillus delbrueckii\",\"g__Lactobacillus;s__Lactobacillus equi\",\"g__Lactobacillus;s__Lactobacillus iners\",\"g__Lactobacillus;s__Lactobacillus mucosae\",\"g__Lactobacillus;s__Lactobacillus nagelii\",\"g__Lactobacillus;s__Lactobacillus paracasei\",\"g__Lactobacillus;s__Lactobacillus saerimneri\",\"g__Lactococcus;s__Lactococcus garvieae\",\"g__Streptococcus;s__Streptococcus equi\",\"g__Streptococcus;s__Streptococcus henryi\",\"g__Streptococcus;s__Streptococcus parauberis\",\"g__Streptococcus;s__Streptococcus pseudopneumoniae\",\"g__Streptococcus;s__Streptococcus sp. ACS2\",\"g__Streptococcus;s__Streptococcus sp. CCH5-D3\",\"g__Streptococcus;s__Streptococcus sp. HMSC057E02\",\"g__Streptococcus;s__Streptococcus sp. HMSC073D05\",\"g__Streptococcus;s__Streptococcus sp. HMSC078H03\",\"g__Streptococcus;s__Streptococcus sp. HMSC10E12\",\"g__Caloramator;s__Caloramator mitchellensis\",\"g__Caloramator;s__Caloramator sp. ALD01\",\"g__Candidatus Arthromitus;s__Candidatus Arthromitus sp. SFB-turkey\",\"g__Clostridium;s__Clostridium acetireducens\",\"g__Clostridium;s__Clostridium chauvoei\",\"g__Clostridium;s__Clostridium clostridioforme CAG:132\",\"g__Clostridium;s__Clostridium coskatii\",\"g__Clostridium;s__Clostridium drakei\",\"g__Clostridium;s__Clostridium scatologenes\",\"g__Clostridium;s__Clostridium sp. 7_2_43FAA\",\"g__Clostridium;s__Clostridium sp. CAG:729\",\"g__Clostridium;s__Clostridium sp. L74\",\"g__Clostridium;s__Clostridium sp. LF2\",\"g__Clostridium;s__Clostridium sp. ND2\",\"g__Clostridium;s__Clostridium tetani\",\"g__Mogibacterium;s__Mogibacterium sp. CM50\",\"g__Unclassified;s__Clostridiales bacterium S5-A14a\",\"g__Unclassified;s__[Eubacterium] brachy\",\"g__Anaerostipes;s__Anaerostipes sp. 3_2_56FAA\",\"g__Anaerostipes;s__Anaerostipes sp. CAG:276\",\"g__Butyrivibrio;s__Butyrivibrio sp. AE3003\",\"g__Butyrivibrio;s__Butyrivibrio sp. XBB1001\",\"g__Oribacterium;s__Oribacterium sp. oral taxon 108\",\"g__Unclassified;s__Lachnospiraceae bacterium 1_1_57FAA\",\"g__Unclassified;s__Lachnospiraceae bacterium P6B14\",\"g__Desulfitibacter;s__Desulfitibacter sp. BRH_c19\",\"g__Desulfosporosinus;s__Desulfosporosinus meridiei\",\"g__Desulfosporosinus;s__Desulfosporosinus sp. HMP52\",\"g__Desulfotomaculum;s__Desulfotomaculum alkaliphilum\",\"g__Desulfotomaculum;s__Desulfotomaculum kuznetsovii\",\"g__Desulfotomaculum;s__Desulfotomaculum nigrificans\",\"g__Unclassified;s__Peptococcaceae bacterium BRH_c4b\",\"g__Acetoanaerobium;s__Acetoanaerobium sticklandii\",\"g__Paraclostridium;s__Paraclostridium bifermentans\",\"g__Peptostreptococcus;s__Peptostreptococcus stomatis\",\"g__Romboutsia;s__Romboutsia lituseburensis\",\"g__Romboutsia;s__[Clostridium] dakarense\",\"g__Unclassified;s__Peptostreptococcaceae bacterium VA2\",\"g__Unclassified;s__[Clostridium] paradoxum\",\"g__Dethiobacter;s__Dethiobacter alkaliphilus\",\"g__Syntrophomonas;s__Syntrophomonas zehnderi\",\"g__Syntrophothermus;s__Syntrophothermus lipocalidus\",\"g__Gottschalkia;s__[Eubacterium] angustum\",\"g__Unclassified;s__Clostridiales bacterium 38_11\",\"g__Unclassified;s__Clostridiales bacterium mt11\",\"g__Halanaerobium;s__Halanaerobium congolense\",\"g__Halonatronum;s__Halonatronum saccharophilum\",\"g__Natranaerobius;s__Natranaerobius thermophilus\",\"g__Desulfovirgula;s__Desulfovirgula thermocuniculi\",\"g__Moorella;s__Moorella sp. 60_41\",\"g__Thermoanaerobacter;s__Thermoanaerobacter ethanolicus\",\"g__Thermoanaerobacter;s__Thermoanaerobacter italicus\",\"g__Caldicellulosiruptor;s__Caldicellulosiruptor hydrothermalis\",\"g__Caldicellulosiruptor;s__Caldicellulosiruptor sp. Rt8.B8\",\"g__Caldicellulosiruptor;s__Caldicellulosiruptor sp. Wai35.B1\",\"g__Thermoanaerobacterium;s__Thermoanaerobacterium saccharolyticum\",\"g__Bulleidia;s__Bulleidia extructa\",\"g__Erysipelothrix;s__Erysipelothrix tonsillarum\",\"g__Turicibacter;s__Turicibacter sp. H121\",\"g__Acidaminococcus;s__Acidaminococcus intestini CAG:325\",\"g__Selenomonas;s__Selenomonas sp. CM52\",\"g__Selenomonas;s__Selenomonas sp. F0473\",\"g__Selenomonas;s__Selenomonas sp. oral taxon 149\",\"g__Propionispora;s__Propionispora vibrioides\",\"g__Megasphaera;s__Megasphaera genomosp. type_1\",\"g__Megasphaera;s__Megasphaera micronuciformis\",\"g__Megasphaera;s__Megasphaera sp. UPII 199-6\",\"g__Veillonella;s__Veillonella sp. AS16\",\"g__Veillonella;s__Veillonella sp. DORA_B_18_19_23\",\"g__Anaerococcus;s__Anaerococcus hydrogenalis\",\"g__Anaerococcus;s__Anaerococcus lactolyticus\",\"g__Anaerococcus;s__Anaerococcus provenciensis\",\"g__Anaerococcus;s__Anaerococcus sp. HMSC065G05\",\"g__Anaerococcus;s__Anaerococcus tetradius\",\"g__Peptoniphilus;s__Peptoniphilus lacrimalis\",\"g__Peptoniphilus;s__Peptoniphilus senegalensis\",\"g__Unclassified;s__Tissierellia bacterium S7-1-4\",\"g__Unclassified;s__Firmicutes bacterium CAG:212\",\"g__Unclassified;s__Firmicutes bacterium M10-2\",\"g__Unclassified;s__Firmicutes bacterium MLFW-2\",\"g__Cetobacterium;s__Cetobacterium sp. ZWU0022\",\"g__Fusobacterium;s__Fusobacterium gonidiaformans\",\"g__Fusobacterium;s__Fusobacterium hwasookii\",\"g__Fusobacterium;s__Fusobacterium periodonticum\",\"g__Fusobacterium;s__Fusobacterium russii\",\"g__Leptotrichia;s__Leptotrichia buccalis\",\"g__Leptotrichia;s__Leptotrichia shahii\",\"g__Leptotrichia;s__Leptotrichia wadei\",\"g__Unclassified;s__Lentisphaerae bacterium RIFOXYB12_FULL_65_16\",\"g__Unclassified;s__Phycisphaerae bacterium SG8_4\",\"g__Unclassified;s__Phycisphaerae bacterium SM23_33\",\"g__Singulisphaera;s__Singulisphaera acidiphila\",\"g__Rubinisphaera;s__Rubinisphaera brasiliensis\",\"g__Unclassified;s__Planctomycetes bacterium RBG_16_64_10\",\"g__Paracoccus;s__Paracoccus denitrificans\",\"g__Pseudorhodobacter;s__Pseudorhodobacter psychrotolerans\",\"g__Hylemonella;s__Hylemonella gracilis\",\"g__Limnohabitans;s__Limnohabitans sp. Rim28\",\"g__Thiomonas;s__Thiomonas sp. FB-6\",\"g__Nitrosospira;s__Nitrosospira briensis\",\"g__Desulfarculus;s__Desulfarculus baarsii\",\"g__Candidatus Magnetomorum;s__Candidatus Magnetomorum sp. HK-1\",\"g__Desulfotignum;s__Desulfotignum balticum\",\"g__Desulfobulbus;s__Desulfobulbus sp. Tol-SR\",\"g__Unclassified;s__Desulfobacterales bacterium S3730MH5\",\"g__Desulfovibrio;s__Desulfovibrio alcoholivorans\",\"g__Desulfovibrio;s__Desulfovibrio inopinatus\",\"g__Desulfovibrio;s__Desulfovibrio longus\",\"g__Desulfovibrio;s__Desulfovibrio putealis\",\"g__Desulfovibrio;s__Desulfovibrio sp. FW1012B\",\"g__Desulfovibrio;s__Desulfovibrio termitidis\",\"g__Unclassified;s__Desulfovibrionales bacterium GWA2_65_9\",\"g__Hippea;s__Hippea maritima\",\"g__Unclassified;s__Geobacteraceae bacterium GWC2_58_44\",\"g__Deferrisoma;s__Deferrisoma camini\",\"g__Unclassified;s__Deltaproteobacteria bacterium RBG_13_43_22\",\"g__Unclassified;s__Deltaproteobacteria bacterium RIFOXYD12_FULL_50_9\",\"g__Arcobacter;s__Arcobacter thereius\",\"g__Campylobacter;s__Campylobacter gracilis\",\"g__Campylobacter;s__Campylobacter iguaniorum\",\"g__Helicobacter;s__Helicobacter pullorum\",\"g__Helicobacter;s__Helicobacter pylori\",\"g__Nitratifractor;s__Nitratifractor salsuginis\",\"g__Sulfurovum;s__Sulfurovum riftiae\",\"g__Aeromonas;s__Aeromonas hydrophila\",\"g__Aeromonas;s__Aeromonas salmonicida\",\"g__Pseudoalteromonas;s__Pseudoalteromonas haloplanktis\",\"g__Shewanella;s__Shewanella benthica\",\"g__Cellvibrio;s__Cellvibrio japonicus\",\"g__Nitrosococcus;s__Nitrosococcus oceani\",\"g__Escherichia;s__Escherichia albertii\",\"g__Klebsiella;s__Klebsiella variicola\",\"g__Kluyvera;s__Kluyvera cryocrescens\",\"g__Pluralibacter;s__Pluralibacter gergoviae\",\"g__Methylobacter;s__Methylobacter whittenburyi\",\"g__Methylovulum;s__Methylovulum miyakonense\",\"g__Unclassified;s__Methylococcaceae bacterium Sn10-6\",\"g__Gallibacterium;s__Gallibacterium salpingitidis\",\"g__Haemophilus;s__Haemophilus sp. HMSC073C03\",\"g__Haemophilus;s__Haemophilus sp. HMSC61B11\",\"g__Pasteurella;s__Pasteurella multocida\",\"g__Candidatus Marithrix;s__Candidatus Marithrix sp. Canyon 246\",\"g__Photobacterium;s__Photobacterium gaetbulicola\",\"g__Stenotrophomonas;s__Stenotrophomonas maltophilia\",\"g__Brachyspira;s__Brachyspira sp. CAG:484\",\"g__Brachyspira;s__Brachyspira sp. CAG:700\",\"g__Salinispira;s__Salinispira pacifica\",\"g__Spirochaeta;s__Spirochaeta cellobiosiphila\",\"g__Treponema;s__Treponema endosymbiont of Eucomonympha sp.\",\"g__Dethiosulfovibrio;s__Dethiosulfovibrio peptidovorans\",\"g__Acholeplasma;s__Acholeplasma oculi\",\"g__Mycoplasma;s__Mycoplasma hominis\",\"g__Candidatus Izimaplasma;s__Candidatus Izimaplasma sp. HR1\",\"g__Unclassified;s__Tenericutes bacterium GWF2_57_13\",\"g__Defluviitoga;s__Defluviitoga tunisiensis\",\"g__Unclassified;s__bacterium A7P-90m\",\"g__Unclassified;s__bacterium F082\",\"g__Unclassified;s__bacterium mt3\",\"g__Unclassified;s__candidate division BRC1 bacterium SM23_51\",\"g__Unclassified;s__uncultured bacterium BAC10G6\",\"g__Unclassified;s__uncultured bacterium Contig11\",\"g__Unclassified;s__uncultured bacterium Contig140\",\"g__Unclassified;s__uncultured bacterium Contig1468_n_1482_cl\",\"g__Unclassified;s__uncultured bacterium Contig1522a\",\"g__Unclassified;s__uncultured bacterium Contig1549a\",\"g__Unclassified;s__uncultured bacterium Contig1831\",\"g__Unclassified;s__uncultured bacterium IN-06\",\"g__Unclassified;s__uncultured bacterium Lq_007_G03\",\"g__Unclassified;s__uncultured bacterium fosmid pJB148G3\",\"g__Unclassified;s__uncultured bacterium scaffold00090\",\"g__Unclassified;s__uncultured murine large bowel bacterium BAC 54B\",\"g__Opitutus;s__Opitutus sp. GAS368\",\"g__Coraliomargarita;s__Coraliomargarita akajimensis\",\"g__Unclassified;s__candidate division Zixibacteria bacterium RBG_16_53_22\",\"g__Beauveria;s__Beauveria bassiana\",\"g__Allomyces;s__Allomyces macrogynus\",\"g__Enterocytozoon;s__Enterocytozoon bieneusi\",\"g__Rhizophagus;s__Rhizophagus irregularis\",\"g__Unclassified;s__Bacillus phage SP-10\",\"g__N4virus;s__Escherichia phage N4\",\"g__Unclassified;s__Geobacillus virus E3\",\"g__Unclassified;s__Streptococcus phage Dp-1\",\"g__Unclassified;s__Citrus endogenous pararetrovirus\",\"g__Unclassified;s__Candidatus Bathyarchaeota archaeon RBG_13_52_12\",\"g__Natronobacterium;s__Natronobacterium texcoconense\",\"g__Methanobrevibacter;s__Methanobrevibacter curvatus\",\"g__Methanobrevibacter;s__Methanobrevibacter sp. YE315\",\"g__Methanoculleus;s__Methanoculleus sp. CAG:1088\",\"g__Candidatus Methanoperedens;s__Candidatus Methanoperedens sp. BLZ1\",\"g__Methanolobus;s__Methanolobus psychrophilus\",\"g__Methanosarcina;s__Methanosarcina siciliae\",\"g__Unclassified;s__Arc I group archaeon U1lsi0528_Bin055\",\"g__Thermococcus;s__Thermococcus guaymasensis\",\"g__Methanomassiliicoccus;s__Methanomassiliicoccus luminyensis\",\"g__Unclassified;s__Thermoplasmatales archaeon BRNA1\",\"g__Unclassified;s__Thermoplasmatales archaeon DG-70-1\",\"g__Edaphobacter;s__Edaphobacter aggregans\",\"g__Unclassified;s__Acidobacteria bacterium DSM 100886\",\"g__Mobiluncus;s__Mobiluncus curtisii\",\"g__Trueperella;s__Trueperella pyogenes\",\"g__Varibaculum;s__Varibaculum cambriense\",\"g__Alloscardovia;s__Alloscardovia omnicolens\",\"g__Bifidobacterium;s__Bifidobacterium asteroides\",\"g__Bifidobacterium;s__Bifidobacterium cuniculi\",\"g__Bifidobacterium;s__Bifidobacterium gallicum\",\"g__Bifidobacterium;s__Bifidobacterium gallinarum\",\"g__Bifidobacterium;s__Bifidobacterium minimum\",\"g__Bifidobacterium;s__Bifidobacterium sp. AGR2158\",\"g__Bifidobacterium;s__Bifidobacterium thermacidophilum\",\"g__Gardnerella;s__Gardnerella sp. 30-4\",\"g__Parascardovia;s__Parascardovia denticolens\",\"g__Catenulispora;s__Catenulispora acidiphila\",\"g__Mycobacterium;s__Mycobacterium kumamotonense\",\"g__Mycobacterium;s__Mycobacterium sp. IS-1556\",\"g__Nocardia;s__Nocardia sp. NRRL S-836\",\"g__Williamsia;s__Williamsia sp. D3\",\"g__Jiangella;s__Jiangella muralis\",\"g__Microbacterium;s__Microbacterium sp. GCS4\",\"g__Rothia;s__Rothia aeria\",\"g__Rothia;s__Rothia sp. HMSC08A08\",\"g__Actinoplanes;s__Actinoplanes utahensis\",\"g__Micromonospora;s__Micromonospora rhizosphaerae\",\"g__Actinopolymorpha;s__Actinopolymorpha singaporensis\",\"g__Acidipropionibacterium;s__Acidipropionibacterium acidipropionici\",\"g__Raineyella;s__Raineyella antarctica\",\"g__Actinomycetospora;s__Actinomycetospora chiangmaiensis\",\"g__Lechevalieria;s__Lechevalieria aerocolonigenes\",\"g__Atopobium;s__Atopobium sp. HMSC064B08\",\"g__Olsenella;s__Olsenella sp. SIT9\",\"g__Olsenella;s__Olsenella uli\",\"g__Unclassified;s__Coriobacteriaceae bacterium BV3Ac1\",\"g__Cryptobacterium;s__Cryptobacterium curtum\",\"g__Enterorhabdus;s__Enterorhabdus mucosicola\",\"g__Slackia;s__Slackia exigua\",\"g__Slackia;s__Slackia sp. CM382\",\"g__Rubrobacter;s__Rubrobacter aplysinae\",\"g__Rubrobacter;s__Rubrobacter xylanophilus\",\"g__Unclassified;s__Actinobacteria bacterium RBG_19FT_COMBO_36_27\",\"g__Bacteroides;s__Bacteroides propionicifaciens\",\"g__Bacteroides;s__Bacteroides sp. SM23_62_1\",\"g__Alkaliflexus;s__Alkaliflexus imshenetskii\",\"g__Fermentimonas;s__Fermentimonas caenicola\",\"g__Parabacteroides;s__Parabacteroides sp. ASF519\",\"g__Porphyromonas;s__Porphyromonas catoniae\",\"g__Porphyromonas;s__Porphyromonas sp. oral taxon 279\",\"g__Prevotella;s__Prevotella sp. FD3004\",\"g__Arachidicoccus;s__Arachidicoccus rhizosphaerae\",\"g__Chitinophaga;s__Chitinophaga filiformis\",\"g__Chitinophaga;s__Chitinophaga pinensis\",\"g__Chitinophaga;s__Chitinophaga sp. YR573\",\"g__Flavihumibacter;s__Flavihumibacter solisilvae\",\"g__Flavihumibacter;s__Flavihumibacter sp. CACIAM 22H1\",\"g__Haliscomenobacter;s__Haliscomenobacter hydrossis\",\"g__Lewinella;s__Lewinella cohaerens\",\"g__Saprospira;s__Saprospira grandis\",\"g__Algoriphagus;s__Algoriphagus marincola\",\"g__Cecembia;s__Cecembia lonarensis\",\"g__Cyclobacterium;s__Cyclobacterium halophilum\",\"g__Cyclobacterium;s__Cyclobacterium qasimii\",\"g__Echinicola;s__Echinicola pacifica\",\"g__Echinicola;s__Echinicola vietnamensis\",\"g__Anditalea;s__Anditalea andensis\",\"g__Cytophaga;s__Cytophaga hutchinsonii\",\"g__Dyadobacter;s__Dyadobacter fermentans\",\"g__Dyadobacter;s__Dyadobacter koreensis\",\"g__Dyadobacter;s__Dyadobacter soli\",\"g__Flexibacter;s__Flexibacter litoralis\",\"g__Spirosoma;s__Spirosoma linguale\",\"g__Spirosoma;s__Spirosoma panaciterrae\",\"g__Spirosoma;s__Spirosoma radiotolerans\",\"g__Flexithrix;s__Flexithrix dorotheae\",\"g__Nafulsella;s__Nafulsella turpanensis\",\"g__Hymenobacter;s__Hymenobacter psychrophilus\",\"g__Hymenobacter;s__Hymenobacter sp. MIMtkLc17\",\"g__Hymenobacter;s__Hymenobacter sp. PAMC 26554\",\"g__Pontibacter;s__Pontibacter sp. BAB1700\",\"g__Persicobacter;s__Persicobacter sp. JZB09\",\"g__Thermonema;s__Thermonema rossianum\",\"g__Crocinitomix;s__Crocinitomix catalasitica\",\"g__Owenweeksia;s__Owenweeksia hongkongensis\",\"g__Aequorivita;s__Aequorivita viscosa\",\"g__Algibacter;s__Algibacter alginolytica\",\"g__Algibacter;s__Algibacter lectus\",\"g__Apibacter;s__Apibacter mensalis\",\"g__Aquimarina;s__Aquimarina agarilytica\",\"g__Aquimarina;s__Aquimarina longa\",\"g__Aquimarina;s__Aquimarina sp. RZW4-3-2\",\"g__Arenibacter;s__Arenibacter certesii\",\"g__Capnocytophaga;s__Capnocytophaga canimorsus\",\"g__Capnocytophaga;s__Capnocytophaga cynodegmi\",\"g__Capnocytophaga;s__Capnocytophaga haemolytica\",\"g__Capnocytophaga;s__Capnocytophaga ochracea\",\"g__Capnocytophaga;s__Capnocytophaga sp. oral taxon 326\",\"g__Capnocytophaga;s__Capnocytophaga sp. oral taxon 329\",\"g__Capnocytophaga;s__Capnocytophaga sp. oral taxon 863\",\"g__Cellulophaga;s__Cellulophaga baltica\",\"g__Cellulophaga;s__Cellulophaga geojensis\",\"g__Cellulophaga;s__Cellulophaga sp. E6(2014)\",\"g__Chryseobacterium;s__Chryseobacterium contaminans\",\"g__Chryseobacterium;s__Chryseobacterium hominis\",\"g__Chryseobacterium;s__Chryseobacterium hungaricum\",\"g__Chryseobacterium;s__Chryseobacterium jeonii\",\"g__Chryseobacterium;s__Chryseobacterium sp. IHB B 17019\",\"g__Chryseobacterium;s__Chryseobacterium sp. Leaf394\",\"g__Chryseobacterium;s__Chryseobacterium sp. YR485\",\"g__Chryseobacterium;s__Chryseobacterium sp. YR561\",\"g__Elizabethkingia;s__Elizabethkingia miricola\",\"g__Empedobacter;s__Empedobacter falsenii\",\"g__Epilithonimonas;s__Epilithonimonas lactis\",\"g__Flavobacterium;s__Flavobacterium akiainvivens\",\"g__Flavobacterium;s__Flavobacterium aquatile\",\"g__Flavobacterium;s__Flavobacterium beibuense\",\"g__Flavobacterium;s__Flavobacterium chungangense\",\"g__Flavobacterium;s__Flavobacterium gelidilacus\",\"g__Flavobacterium;s__Flavobacterium gilvum\",\"g__Flavobacterium;s__Flavobacterium hibernum\",\"g__Flavobacterium;s__Flavobacterium johnsoniae\",\"g__Flavobacterium;s__Flavobacterium noncentrifugens\",\"g__Flavobacterium;s__Flavobacterium omnivorum\",\"g__Flavobacterium;s__Flavobacterium piscis\",\"g__Flavobacterium;s__Flavobacterium sinopsychrotolerans\",\"g__Flavobacterium;s__Flavobacterium sp. 316\",\"g__Flavobacterium;s__Flavobacterium sp. AED\",\"g__Flavobacterium;s__Flavobacterium sp. B17\",\"g__Flavobacterium;s__Flavobacterium sp. CF136\",\"g__Flavobacterium;s__Flavobacterium sp. Leaf359\",\"g__Flavobacterium;s__Flavobacterium sp. Leaf82\",\"g__Flavobacterium;s__Flavobacterium sp. MEB061\",\"g__Flavobacterium;s__Flavobacterium sp. TAB 87\",\"g__Flavobacterium;s__Flavobacterium sp. URHB0058\",\"g__Flavobacterium;s__Flavobacterium spartansii\",\"g__Flavobacterium;s__Flavobacterium subsaxonicum\",\"g__Flavobacterium;s__Flavobacterium terrigena\",\"g__Formosa;s__Formosa sp. Hel1_33_131\",\"g__Galbibacter;s__Galbibacter marinus\",\"g__Gelidibacter;s__Gelidibacter algens\",\"g__Gillisia;s__Gillisia sp. Hel_I_29\",\"g__Gramella;s__Gramella sp. MAR_2010_102\",\"g__Jejuia;s__Jejuia pallidilutea\",\"g__Kriegella;s__Kriegella aquimaris\",\"g__Lutibacter;s__Lutibacter sp. LPB0138\",\"g__Mesonia;s__Mesonia mobilis\",\"g__Myroides;s__Myroides odoratimimus\",\"g__Myroides;s__Myroides odoratus\",\"g__Myroides;s__Myroides profundi\",\"g__Nonlabens;s__Nonlabens marinus\",\"g__Nonlabens;s__Nonlabens sediminis\",\"g__Nonlabens;s__Nonlabens sp. YIK11\",\"g__Nonlabens;s__Nonlabens ulvanivorans\",\"g__Polaribacter;s__Polaribacter reichenbachii\",\"g__Polaribacter;s__Polaribacter sp. KT25b\",\"g__Psychroserpens;s__Psychroserpens sp. Hel_I_66\",\"g__Siansivirga;s__Siansivirga zeaxanthinifaciens\",\"g__Tamlana;s__Tamlana sp. s12\",\"g__Tenacibaculum;s__Tenacibaculum soleae\",\"g__Tenacibaculum;s__Tenacibaculum sp. 47A_GOM-205m\",\"g__Tenacibaculum;s__Tenacibaculum sp. MAR_2009_124\",\"g__Tenacibaculum;s__Tenacibaculum sp. MAR_2010_89\",\"g__Unclassified;s__Flavobacteriaceae bacterium CRH\",\"g__Weeksella;s__Weeksella sp. HMSC059D05\",\"g__Wenyingzhuangia;s__Wenyingzhuangia fucanilytica\",\"g__Winogradskyella;s__Winogradskyella thalassocola\",\"g__Zhouia;s__Zhouia amylolytica\",\"g__Zunongwangia;s__Zunongwangia profunda\",\"g__Unclassified;s__Flavobacteria bacterium GWA2_35_26\",\"g__Arcticibacter;s__Arcticibacter eurypsychrophilus\",\"g__Arcticibacter;s__Arcticibacter svalbardensis\",\"g__Mucilaginibacter;s__Mucilaginibacter gossypii\",\"g__Mucilaginibacter;s__Mucilaginibacter mallensis\",\"g__Mucilaginibacter;s__Mucilaginibacter pineti\",\"g__Mucilaginibacter;s__Mucilaginibacter sp. PAMC 26640\",\"g__Mucilaginibacter;s__Mucilaginibacter sp. PPCGB 2223\",\"g__Parapedobacter;s__Parapedobacter koreensis\",\"g__Pedobacter;s__Pedobacter antarcticus\",\"g__Pedobacter;s__Pedobacter arcticus\",\"g__Pedobacter;s__Pedobacter glucosidilyticus\",\"g__Pedobacter;s__Pedobacter heparinus\",\"g__Pedobacter;s__Pedobacter jeongneungensis\",\"g__Pedobacter;s__Pedobacter panaciterrae\",\"g__Pedobacter;s__Pedobacter sp. BMA\",\"g__Pedobacter;s__Pedobacter terrae\",\"g__Pseudosphingobacterium;s__Pseudosphingobacterium domesticum\",\"g__Sphingobacterium;s__Sphingobacterium deserti\",\"g__Unclassified;s__Bacteroidetes bacterium GWA2_31_9b\",\"g__Unclassified;s__Bacteroidetes bacterium GWB2_41_8\",\"g__Unclassified;s__Bacteroidetes bacterium RBG_13_42_15\",\"g__Unclassified;s__Bacteroidetes bacterium RIFCSPLOWO2_12_FULL_31_6\",\"g__Unclassified;s__Bacteroidetes bacterium RIFOXYA12_FULL_40_10\",\"g__Unclassified;s__Cytophagales bacterium B6\",\"g__Unclassified;s__Acetothermia bacterium 64_32\",\"g__Unclassified;s__Candidatus Atribacteria bacterium RBG_16_35_8\",\"g__Unclassified;s__Candidatus Firestonebacteria bacterium RIFOXYA2_FULL_40_8\",\"g__Unclassified;s__Candidatus Moranbacteria bacterium GW2011_GWA2_39_41\",\"g__Unclassified;s__Candidatus Moranbacteria bacterium GW2011_GWF1_36_4\",\"g__Unclassified;s__Candidatus Nealsonbacteria bacterium RBG_13_37_56\",\"g__Unclassified;s__Candidatus Saccharibacteria bacterium GW2011_GWC2_48_9\",\"g__Unclassified;s__Candidatus Shapirobacteria bacterium GW2011_GWE1_38_10\",\"g__Unclassified;s__Candidatus Staskawiczbacteria bacterium RIFCSPLOWO2_01_FULL_38_12b\",\"g__Unclassified;s__Candidatus Taylorbacteria bacterium RIFOXYD2_FULL_36_9\",\"g__Unclassified;s__Candidatus Uhrbacteria bacterium GW2011_GWD2_52_7\",\"g__Chlamydia;s__Chlamydia psittaci\",\"g__Unclassified;s__Chlamydiae bacterium RIFCSPHIGHO2_12_FULL_49_32\",\"g__Chlorobium;s__Chlorobium chlorochromatii\",\"g__Prosthecochloris;s__Prosthecochloris sp. CIB 2401\",\"g__Unclassified;s__Chlorobi bacterium OLB6\",\"g__Anaerolinea;s__Anaerolinea thermophila\",\"g__Unclassified;s__Dehalococcoidia bacterium SG8_51_3\",\"g__Sphaerobacter;s__Sphaerobacter thermophilus\",\"g__Unclassified;s__Chloroflexi bacterium GWB2_54_36\",\"g__Unclassified;s__Chloroflexi bacterium OLB13\",\"g__Unclassified;s__Chloroflexi bacterium OLB14\",\"g__Gloeobacter;s__Gloeobacter violaceus\",\"g__Crocosphaera;s__Crocosphaera watsonii\",\"g__Geminocystis;s__Geminocystis sp. NIES-3709\",\"g__Nodularia;s__Nodularia spumigena\",\"g__Nostoc;s__Nostoc punctiforme\",\"g__Scytonema;s__Scytonema tolypothrichoides\",\"g__Tolypothrix;s__Tolypothrix sp. PCC 7601\",\"g__Geitlerinema;s__Geitlerinema sp. PCC 7105\",\"g__Planktothricoides;s__Planktothricoides sp. SR001\",\"g__Oscillatoria;s__Oscillatoria nigro-viridis\",\"g__Xenococcus;s__Xenococcus sp. PCC 7305\",\"g__Leptolyngbya;s__Leptolyngbya sp. PCC 6406\",\"g__Phormidesmis;s__Phormidesmis priestleyi\",\"g__Limnothrix;s__Limnothrix sp. P13C2\",\"g__Calditerrivibrio;s__Calditerrivibrio nitroreducens\",\"g__Mucispirillum;s__Mucispirillum schaedleri\",\"g__Deinococcus;s__Deinococcus misasensis\",\"g__Dictyoglomus;s__Dictyoglomus turgidum\",\"g__Endomicrobium;s__Endomicrobium proavitum\",\"g__Unclassified;s__Elusimicrobia bacterium GWD2_63_28\",\"g__Unclassified;s__Elusimicrobia bacterium GWF2_62_30\",\"g__Unclassified;s__Elusimicrobia bacterium RIFOXYB2_FULL_48_7\",\"g__Chitinispirillum;s__Chitinispirillum alkaliphilum\",\"g__Alicyclobacillus;s__Alicyclobacillus ferrooxydans\",\"g__Aeribacillus;s__Aeribacillus pallidus\",\"g__Anoxybacillus;s__Anoxybacillus sp. P3H1B\",\"g__Anoxybacillus;s__Anoxybacillus tepidamans\",\"g__Bacillus;s__Bacillus aidingensis\",\"g__Bacillus;s__Bacillus amyloliquefaciens\",\"g__Bacillus;s__Bacillus bingmayongensis\",\"g__Bacillus;s__Bacillus bogoriensis\",\"g__Bacillus;s__Bacillus cecembensis\",\"g__Bacillus;s__Bacillus cellulosilyticus\",\"g__Bacillus;s__Bacillus cohnii\",\"g__Bacillus;s__Bacillus cytotoxicus\",\"g__Bacillus;s__Bacillus daliensis\",\"g__Bacillus;s__Bacillus endophyticus\",\"g__Bacillus;s__Bacillus horikoshii\",\"g__Bacillus;s__Bacillus humi\",\"g__Bacillus;s__Bacillus korlensis\",\"g__Bacillus;s__Bacillus krulwichiae\",\"g__Bacillus;s__Bacillus lehensis\",\"g__Bacillus;s__Bacillus licheniformis\",\"g__Bacillus;s__Bacillus litoralis\",\"g__Bacillus;s__Bacillus mannanilyticus\",\"g__Bacillus;s__Bacillus massilioanorexius\",\"g__Bacillus;s__Bacillus massiliosenegalensis\",\"g__Bacillus;s__Bacillus muralis\",\"g__Bacillus;s__Bacillus nealsonii\",\"g__Bacillus;s__Bacillus okhensis\",\"g__Bacillus;s__Bacillus pseudofirmus\",\"g__Bacillus;s__Bacillus salsus\",\"g__Bacillus;s__Bacillus sp. 24\",\"g__Bacillus;s__Bacillus sp. B-jedd\",\"g__Bacillus;s__Bacillus sp. CHD6a\",\"g__Bacillus;s__Bacillus sp. EB01\",\"g__Bacillus;s__Bacillus sp. FF4\",\"g__Bacillus;s__Bacillus sp. FJAT-18019\",\"g__Bacillus;s__Bacillus sp. FJAT-18043\",\"g__Bacillus;s__Bacillus sp. FJAT-25496\",\"g__Bacillus;s__Bacillus sp. FJAT-25509\",\"g__Bacillus;s__Bacillus sp. FJAT-26652\",\"g__Bacillus;s__Bacillus sp. FJAT-27215\",\"g__Bacillus;s__Bacillus sp. FJAT-27225\",\"g__Bacillus;s__Bacillus sp. FJAT-27245\",\"g__Bacillus;s__Bacillus sp. FJAT-27264\",\"g__Bacillus;s__Bacillus sp. FJAT-29814\",\"g__Bacillus;s__Bacillus sp. J13\",\"g__Bacillus;s__Bacillus sp. LL01\",\"g__Bacillus;s__Bacillus sp. Leaf49\",\"g__Bacillus;s__Bacillus sp. MB2021\",\"g__Bacillus;s__Bacillus sp. REN51N\",\"g__Bacillus;s__Bacillus sp. SB49\",\"g__Bacillus;s__Bacillus sp. SM1\",\"g__Bacillus;s__Bacillus sp. UNC41MFS5\",\"g__Bacillus;s__Bacillus subterraneus\",\"g__Bacillus;s__Bacillus trypoxylicola\",\"g__Bacillus;s__Bacillus vallismortis\",\"g__Bacillus;s__Bacillus velezensis\",\"g__Bacillus;s__Bacillus vietnamensis\",\"g__Bacillus;s__Bacillus wakoensis\",\"g__Bacillus;s__[Brevibacterium] frigoritolerans\",\"g__Domibacillus;s__Domibacillus indicus\",\"g__Fictibacillus;s__Fictibacillus gelatini\",\"g__Fictibacillus;s__Fictibacillus sp. FJAT-27399\",\"g__Geobacillus;s__Geobacillus kaustophilus\",\"g__Geobacillus;s__Geobacillus sp. 12AMOR1\",\"g__Geobacillus;s__Geobacillus stearothermophilus\",\"g__Gracilibacillus;s__Gracilibacillus sp. Marseille-P2481\",\"g__Halobacillus;s__Halobacillus halophilus\",\"g__Hydrogenibacillus;s__Hydrogenibacillus schlegelii\",\"g__Lysinibacillus;s__Lysinibacillus manganicus\",\"g__Lysinibacillus;s__Lysinibacillus sp. AR18-8\",\"g__Lysinibacillus;s__Lysinibacillus sp. F5\",\"g__Lysinibacillus;s__Lysinibacillus xylanilyticus\",\"g__Ornithinibacillus;s__Ornithinibacillus scapharcae\",\"g__Pelagirhabdus;s__Pelagirhabdus alkalitolerans\",\"g__Tepidibacillus;s__Tepidibacillus decaturensis\",\"g__Tepidibacillus;s__Tepidibacillus sp. HK-1\",\"g__Thalassobacillus;s__Thalassobacillus cyri\",\"g__Thalassobacillus;s__Thalassobacillus sp. TM-1\",\"g__Unclassified;s__Bacillaceae bacterium mt6\",\"g__Unclassified;s__Tenuibacillus multivorans\",\"g__Virgibacillus;s__Virgibacillus salinus\",\"g__Vulcanibacillus;s__Vulcanibacillus modesticaldus\",\"g__Listeria;s__Listeria fleischmannii\",\"g__Listeria;s__Listeria rocourtiae\",\"g__Listeria;s__Listeria weihenstephanensis\",\"g__Aneurinibacillus;s__Aneurinibacillus aneurinilyticus\",\"g__Brevibacillus;s__Brevibacillus choshinensis\",\"g__Brevibacillus;s__Brevibacillus formosus\",\"g__Brevibacillus;s__Brevibacillus massiliensis\",\"g__Brevibacillus;s__Brevibacillus parabrevis\",\"g__Brevibacillus;s__Brevibacillus thermoruber\",\"g__Cohnella;s__Cohnella laeviribosi\",\"g__Paenibacillus;s__Paenibacillus glacialis\",\"g__Paenibacillus;s__Paenibacillus jamilae\",\"g__Paenibacillus;s__Paenibacillus sabinae\",\"g__Paenibacillus;s__Paenibacillus sanguinis\",\"g__Paenibacillus;s__Paenibacillus senegalensis\",\"g__Paenibacillus;s__Paenibacillus sonchi\",\"g__Paenibacillus;s__Paenibacillus sp. 181mfcol5.1\",\"g__Paenibacillus;s__Paenibacillus sp. A3\",\"g__Paenibacillus;s__Paenibacillus sp. A9\",\"g__Paenibacillus;s__Paenibacillus sp. AD87\",\"g__Paenibacillus;s__Paenibacillus sp. BIHB4019\",\"g__Paenibacillus;s__Paenibacillus sp. CF095\",\"g__Paenibacillus;s__Paenibacillus sp. FSL H7-0357\",\"g__Paenibacillus;s__Paenibacillus sp. FSL H8-457\",\"g__Paenibacillus;s__Paenibacillus sp. FSL P4-0081\",\"g__Paenibacillus;s__Paenibacillus sp. FSL R5-808\",\"g__Paenibacillus;s__Paenibacillus sp. G4\",\"g__Paenibacillus;s__Paenibacillus sp. GM2\",\"g__Paenibacillus;s__Paenibacillus sp. GP183\",\"g__Paenibacillus;s__Paenibacillus sp. HW567\",\"g__Paenibacillus;s__Paenibacillus sp. IHBB 9852\",\"g__Paenibacillus;s__Paenibacillus sp. JCM 10914\",\"g__Paenibacillus;s__Paenibacillus sp. Leaf72\",\"g__Paenibacillus;s__Paenibacillus sp. OK060\",\"g__Paenibacillus;s__Paenibacillus sp. P22\",\"g__Paenibacillus;s__Paenibacillus sp. PDC88\",\"g__Paenibacillus;s__Paenibacillus sp. Soil522\",\"g__Paenibacillus;s__Paenibacillus sp. Soil766\",\"g__Paenibacillus;s__Paenibacillus sp. TCA20\",\"g__Paenibacillus;s__Paenibacillus sp. UNC217MF\",\"g__Paenibacillus;s__Paenibacillus sp. UNC499MF\",\"g__Paenibacillus;s__Paenibacillus sp. cl6col\",\"g__Paenibacillus;s__Paenibacillus sp. oral taxon 786\",\"g__Paenibacillus;s__Paenibacillus taiwanensis\",\"g__Paenibacillus;s__Paenibacillus terrae\",\"g__Paenibacillus;s__Paenibacillus tianmuensis\",\"g__Paenibacillus;s__Paenibacillus wulumuqiensis\",\"g__Paenibacillus;s__Paenibacillus wynnii\",\"g__Paenibacillus;s__Paenibacillus zanthoxyli\",\"g__Saccharibacillus;s__Saccharibacillus kuerlensis\",\"g__Thermobacillus;s__Thermobacillus composti\",\"g__Bhargavaea;s__Bhargavaea cecembensis\",\"g__Jeotgalibacillus;s__Jeotgalibacillus malaysiensis\",\"g__Jeotgalibacillus;s__Jeotgalibacillus soli Cunha et al. 2012\",\"g__Kurthia;s__Kurthia senegalensis\",\"g__Solibacillus;s__Solibacillus silvestris\",\"g__Sporosarcina;s__Sporosarcina koreensis\",\"g__Thermoactinomyces;s__Thermoactinomyces vulgaris\",\"g__Desulfuribacillus;s__Desulfuribacillus alkaliarsenatis\",\"g__Exiguobacterium;s__Exiguobacterium acetylicum\",\"g__Gemella;s__Gemella asaccharolytica\",\"g__Gemella;s__Gemella haemolysans\",\"g__Gemella;s__Gemella sanguinis\",\"g__Facklamia;s__Facklamia ignava\",\"g__Alkalibacterium;s__Alkalibacterium thalassium\",\"g__Allofustis;s__Allofustis seminis\",\"g__Atopococcus;s__Atopococcus tabaci\",\"g__Carnobacterium;s__Carnobacterium divergens\",\"g__Carnobacterium;s__Carnobacterium gallinarum\",\"g__Carnobacterium;s__Carnobacterium inhibens\",\"g__Granulicatella;s__Granulicatella elegans\",\"g__Trichococcus;s__Trichococcus palustris\",\"g__Enterococcus;s__Enterococcus massiliensis\",\"g__Enterococcus;s__Enterococcus mundtii\",\"g__Enterococcus;s__Enterococcus raffinosus\",\"g__Enterococcus;s__Enterococcus silesiacus\",\"g__Enterococcus;s__Enterococcus sp. Marseille-P2817\",\"g__Enterococcus;s__Enterococcus sp. RIT-PI-f\",\"g__Enterococcus;s__Enterococcus sp. TR\",\"g__Enterococcus;s__Enterococcus termitis\",\"g__Lactobacillus;s__Lactobacillus amylovorus\",\"g__Lactobacillus;s__Lactobacillus aquaticus\",\"g__Lactobacillus;s__Lactobacillus camelliae\",\"g__Lactobacillus;s__Lactobacillus ceti\",\"g__Lactobacillus;s__Lactobacillus collinoides\",\"g__Lactobacillus;s__Lactobacillus composti\",\"g__Lactobacillus;s__Lactobacillus crispatus\",\"g__Lactobacillus;s__Lactobacillus fermentum\",\"g__Lactobacillus;s__Lactobacillus gasseri\",\"g__Lactobacillus;s__Lactobacillus ghanensis\",\"g__Lactobacillus;s__Lactobacillus helveticus\",\"g__Lactobacillus;s__Lactobacillus hordei\",\"g__Lactobacillus;s__Lactobacillus kalixensis\",\"g__Lactobacillus;s__Lactobacillus oris\",\"g__Lactobacillus;s__Lactobacillus paralimentarius\",\"g__Lactobacillus;s__Lactobacillus plantarum\",\"g__Lactobacillus;s__Lactobacillus rhamnosus\",\"g__Lactobacillus;s__Lactobacillus ruminis CAG:367\",\"g__Streptococcus;s__Streptococcus caballi\",\"g__Streptococcus;s__Streptococcus intermedius\",\"g__Streptococcus;s__Streptococcus marimammalium\",\"g__Streptococcus;s__Streptococcus massiliensis\",\"g__Streptococcus;s__Streptococcus orisratti\",\"g__Streptococcus;s__Streptococcus phocae\",\"g__Streptococcus;s__Streptococcus ratti\",\"g__Streptococcus;s__Streptococcus sobrinus\",\"g__Streptococcus;s__Streptococcus sp. 449_SSPC\",\"g__Streptococcus;s__Streptococcus sp. DD04\",\"g__Streptococcus;s__Streptococcus sp. FF10\",\"g__Streptococcus;s__Streptococcus sp. HMSC034E12\",\"g__Streptococcus;s__Streptococcus sp. HMSC064D12\",\"g__Streptococcus;s__Streptococcus sp. HMSC077F03\",\"g__Streptococcus;s__Streptococcus sp. HibF3\",\"g__Streptococcus;s__Streptococcus sp. NPS 308\",\"g__Streptococcus;s__Streptococcus uberis\",\"g__Caloranaerobacter;s__Caloranaerobacter ferrireducens\",\"g__Clostridium;s__Clostridium cochlearium\",\"g__Clostridium;s__Clostridium gasigenes\",\"g__Clostridium;s__Clostridium haemolyticum\",\"g__Clostridium;s__Clostridium senegalense\",\"g__Clostridium;s__Clostridium septicum\",\"g__Clostridium;s__Clostridium sp. ATCC 25772\",\"g__Clostridium;s__Clostridium sp. CAG:715\",\"g__Clostridium;s__Clostridium sp. CAG:967\",\"g__Clostridium;s__Clostridium sp. HMSC19D07\",\"g__Clostridium;s__Clostridium sp. IODB-O3\",\"g__Clostridium;s__Clostridium sp. JCC\",\"g__Clostridium;s__Clostridium sp. enrichment culture clone 7-14\",\"g__Tindallia;s__Tindallia californiensis\",\"g__Mogibacterium;s__Mogibacterium timidum\",\"g__Unclassified;s__[Eubacterium] infirmum\",\"g__Unclassified;s__[Eubacterium] saphenum\",\"g__Sulfobacillus;s__Sulfobacillus thermosulfidooxidans\",\"g__Eubacterium;s__Eubacterium dolichum CAG:375\",\"g__Butyrivibrio;s__Butyrivibrio sp. FCS006\",\"g__Butyrivibrio;s__Butyrivibrio sp. XPD2006\",\"g__Dorea;s__Candidatus Dorea massiliensis\",\"g__Unclassified;s__Lachnospiraceae bacterium AC2012\",\"g__Unclassified;s__Lachnospiraceae bacterium VE202-23\",\"g__Desulfitobacterium;s__Desulfitobacterium sp. PCE1\",\"g__Desulfosporosinus;s__Desulfosporosinus acidiphilus\",\"g__Desulfosporosinus;s__Desulfosporosinus sp. BICA1-9\",\"g__Desulfotomaculum;s__Desulfotomaculum sp. LMa1\",\"g__Pelotomaculum;s__Pelotomaculum thermopropionicum\",\"g__Paraclostridium;s__Paraclostridium benzoelyticum\",\"g__Peptostreptococcus;s__Peptostreptococcus russellii\",\"g__Unclassified;s__Peptostreptococcaceae bacterium oral taxon 113\",\"g__Anaerobranca;s__Anaerobranca gottschalkii\",\"g__Symbiobacterium;s__Symbiobacterium thermophilum\",\"g__Syntrophomonas;s__Syntrophomonas palmitatica\",\"g__Unclassified;s__Clostridiales bacterium GWB2_37_7\",\"g__Unclassified;s__Clostridiales bacterium SIT13\",\"g__Halanaerobium;s__Halanaerobium hydrogeniformans\",\"g__Halanaerobium;s__Halanaerobium saccharolyticum\",\"g__Halanaerobium;s__Halanaerobium sp. T82-1\",\"g__Orenia;s__Orenia marismortui\",\"g__Orenia;s__Orenia metallireducens\",\"g__Caldanaerobacter;s__Caldanaerobacter subterraneus\",\"g__Moorella;s__Moorella mulderi\",\"g__Thermoanaerobacter;s__Thermoanaerobacter thermohydrosulfuricus\",\"g__Caldicellulosiruptor;s__Caldicellulosiruptor acetigenus\",\"g__Caldicellulosiruptor;s__Caldicellulosiruptor owensensis\",\"g__Caldicellulosiruptor;s__Caldicellulosiruptor saccharolyticus\",\"g__Thermovenabulum;s__Thermovenabulum gondwanense\",\"g__Unclassified;s__Clostridia bacterium UC5.1-1C12\",\"g__Erysipelothrix;s__Erysipelothrix sp. LV19\",\"g__Turicibacter;s__Turicibacter sp. HGF1\",\"g__Acidaminococcus;s__Acidaminococcus sp. D21\",\"g__Acidaminococcus;s__Acidaminococcus sp. HPA0509\",\"g__Selenomonas;s__Selenomonas sp. FOBRC6\",\"g__Selenomonas;s__Selenomonas sp. FOBRC9\",\"g__Selenomonas;s__Selenomonas sp. oral taxon 137\",\"g__Selenomonas;s__Selenomonas sp. oral taxon 138\",\"g__Selenomonas;s__Selenomonas sp. oral taxon 478\",\"g__Selenomonas;s__Selenomonas sp. oral taxon 892\",\"g__Sporolituus;s__Sporolituus thermophilus\",\"g__Megasphaera;s__Megasphaera sp. UPII 135-E\",\"g__Megasphaera;s__uncultured Megasphaera sp.\",\"g__Unclassified;s__Veillonellaceae bacterium DNF00751\",\"g__Veillonella;s__Veillonella sp. ICM51a\",\"g__Veillonella;s__Veillonella sp. OK1\",\"g__Anaerococcus;s__Anaerococcus obesiensis\",\"g__Anaerococcus;s__Anaerococcus rubiinfantis\",\"g__Anaerococcus;s__Anaerococcus sp. HMSC068A02\",\"g__Anaerococcus;s__Anaerococcus sp. HMSC075B03\",\"g__Peptoniphilus;s__Peptoniphilus rhinitidis\",\"g__Peptoniphilus;s__Peptoniphilus sp. EL1\",\"g__Peptoniphilus;s__Peptoniphilus sp. HMSC075B08\",\"g__Peptoniphilus;s__Peptoniphilus sp. KHD5\",\"g__Peptoniphilus;s__Peptoniphilus sp. oral taxon 836\",\"g__Unclassified;s__Firmicutes bacterium ZOR0006\",\"g__Fusobacterium;s__Fusobacterium equinum\",\"g__Fusobacterium;s__Fusobacterium sp. CAG:815\",\"g__Fusobacterium;s__Fusobacterium sp. CM22\",\"g__Leptotrichia;s__Leptotrichia goodfellowii\",\"g__Leptotrichia;s__Leptotrichia trevisanii\",\"g__Sebaldella;s__Sebaldella termitidis\",\"g__Sneathia;s__Sneathia sanguinegens\",\"g__Streptobacillus;s__Streptobacillus hongkongensis\",\"g__Streptobacillus;s__Streptobacillus moniliformis\",\"g__Unclassified;s__Ignavibacteria bacterium GWF2_33_9\",\"g__Candidatus Magnetobacterium;s__Candidatus Magnetobacterium casensis\",\"g__Leptospirillum;s__Leptospirillum ferrodiazotrophum\",\"g__Candidatus Jettenia;s__Candidatus Jettenia caeni\",\"g__Gemmata;s__Gemmata obscuriglobus\",\"g__Blastopirellula;s__Blastopirellula marina\",\"g__Rhodopirellula;s__Rhodopirellula sallentina\",\"g__Roseimaritima;s__Roseimaritima ulvae\",\"g__Unclassified;s__Planctomycetes bacterium RBG_13_50_24\",\"g__Unclassified;s__Planctomycetes bacterium RBG_16_43_13\",\"g__Unclassified;s__Planctomycetes bacterium RBG_19FT_COMBO_48_8\",\"g__Unclassified;s__Planctomycetes bacterium SM23_65\",\"g__Bartonella;s__Bartonella queenslandensis\",\"g__Bartonella;s__Bartonella sp. DB5-6\",\"g__Afipia;s__Afipia broomeae\",\"g__Bradyrhizobium;s__Bradyrhizobium japonicum\",\"g__Bradyrhizobium;s__Bradyrhizobium sp. YR681\",\"g__Ochrobactrum;s__Ochrobactrum anthropi\",\"g__Methylobacterium;s__Methylobacterium sp. B34\",\"g__Agrobacterium;s__Agrobacterium tumefaciens\",\"g__Kaistia;s__Kaistia adipata\",\"g__Rhizobium;s__Rhizobium leguminosarum\",\"g__Candidatus Phaeomarinobacter;s__Candidatus Phaeomarinobacter ectocarpi\",\"g__Methyloceanibacter;s__Methyloceanibacter marginalis\",\"g__Ahrensia;s__Ahrensia marina\",\"g__Pannonibacter;s__Pannonibacter phragmitetus\",\"g__Unclassified;s__Rhodobacteraceae bacterium HTCC2083\",\"g__Acetobacter;s__Acetobacter malorum\",\"g__Magnetospirillum;s__Magnetospirillum marisnigri\",\"g__Magnetospirillum;s__Magnetospirillum sp. XM-1\",\"g__Phaeospirillum;s__Phaeospirillum molischianum\",\"g__Thalassospira;s__Thalassospira profundimaris\",\"g__Unclassified;s__endosymbiont of Acanthamoeba sp. UWC8\",\"g__Achromobacter;s__Achromobacter xylosoxidans\",\"g__Alcaligenes;s__Alcaligenes faecalis\",\"g__Castellaniella;s__Castellaniella caeni\",\"g__Burkholderia;s__Burkholderia cepacia\",\"g__Burkholderia;s__Burkholderia pseudomallei\",\"g__Burkholderia;s__Burkholderia territorii\",\"g__Burkholderia;s__Burkholderia vietnamiensis\",\"g__Paraburkholderia;s__Paraburkholderia sacchari\",\"g__Ralstonia;s__Ralstonia pickettii\",\"g__Acidovorax;s__Acidovorax valerianellae\",\"g__Delftia;s__Delftia lacustris\",\"g__Duganella;s__Duganella sp. Root336D2\",\"g__Massilia;s__Massilia sp. PDC64\",\"g__Unclassified;s__Oxalobacteraceae bacterium AB_14\",\"g__Mitsuaria;s__Mitsuaria sp. 7\",\"g__Tepidimonas;s__Tepidimonas taiwanensis\",\"g__Unclassified;s__[Polyangium] brachysporum\",\"g__Chitinilyticum;s__Chitinilyticum litopenaei\",\"g__Laribacter;s__Laribacter hongkongensis\",\"g__Leeia;s__Leeia oryzae\",\"g__Neisseria;s__Neisseria bacilliformis\",\"g__Nitrosomonas;s__Nitrosomonas europaea\",\"g__Nitrosomonas;s__Nitrosomonas halophila\",\"g__Unclassified;s__Nitrosococcus mobilis\",\"g__Propionivibrio;s__Propionivibrio dicarboxylicus\",\"g__Uliginosibacterium;s__Uliginosibacterium gangwonense\",\"g__Candidatus Accumulibacter;s__Candidatus Accumulibacter sp. BA-91\",\"g__Candidatus Profftella;s__Candidatus Profftella armatura\",\"g__Unclassified;s__Betaproteobacteria bacterium RIFCSPLOWO2_02_FULL_66_14\",\"g__Unclassified;s__Candidatus Muproteobacteria bacterium RBG_16_60_9\",\"g__Dethiosulfatarculus;s__Dethiosulfatarculus sandiegensis\",\"g__Desulfatibacillum;s__Desulfatibacillum aliphaticivorans\",\"g__Desulfatibacillum;s__Desulfatibacillum alkenivorans\",\"g__Desulfatitalea;s__Desulfatitalea sp. BRH_c12\",\"g__Desulfatitalea;s__Desulfatitalea tepidiphila\",\"g__Desulfobacter;s__Desulfobacter curvatus\",\"g__Desulfococcus;s__Desulfococcus multivorans\",\"g__Desulfosarcina;s__Desulfosarcina cetonica\",\"g__Desulfosarcina;s__Desulfosarcina sp. BuS5\",\"g__Desulfospira;s__Desulfospira joergensenii\",\"g__Desulforhopalus;s__Desulforhopalus singaporensis\",\"g__Desulfurivibrio;s__Desulfurivibrio alkaliphilus\",\"g__Unclassified;s__Desulfobulbaceae bacterium BRH_c16a\",\"g__Unclassified;s__Desulfobacterales bacterium GWB2_56_26\",\"g__Unclassified;s__Desulfobacterales bacterium S5133MH4\",\"g__Desulfohalobium;s__Desulfohalobium retbaense\",\"g__Desulfonatronovibrio;s__Desulfonatronovibrio hydrogenovorans\",\"g__Desulfonauticus;s__Desulfonauticus sp. 38_4375\",\"g__Desulfonauticus;s__Desulfonauticus submarinus\",\"g__Desulfomicrobium;s__Desulfomicrobium escambiense\",\"g__Desulfonatronum;s__Desulfonatronum thioautotrophicum\",\"g__Desulfonatronum;s__Desulfonatronum thiodismutans\",\"g__Desulfovibrio;s__Desulfovibrio aespoeensis\",\"g__Desulfovibrio;s__Desulfovibrio alkalitolerans\",\"g__Desulfovibrio;s__Desulfovibrio ferrireducens\",\"g__Desulfovibrio;s__Desulfovibrio frigidus\",\"g__Desulfovibrio;s__Desulfovibrio salexigens\",\"g__Desulfovibrio;s__Desulfovibrio sp. S3730MH75\",\"g__Desulfovibrio;s__Desulfovibrio zosterae\",\"g__Pelobacter;s__Pelobacter propionicus\",\"g__Unclassified;s__Desulfuromonadaceae bacterium GWC2_58_13\",\"g__Geoalkalibacter;s__Geoalkalibacter subterraneus\",\"g__Geobacter;s__Geobacter daltonii\",\"g__Geobacter;s__Geobacter metallireducens\",\"g__Anaeromyxobacter;s__Anaeromyxobacter sp. Fw109-5\",\"g__Cystobacter;s__Cystobacter violaceus\",\"g__Stigmatella;s__Stigmatella aurantiaca\",\"g__Desulfobacca;s__Desulfobacca sp. RBG_16_60_12\",\"g__Desulfomonile;s__Desulfomonile tiedjei\",\"g__Smithella;s__Smithella sp. F21\",\"g__Syntrophus;s__Syntrophus sp. GWC2_56_31\",\"g__Syntrophus;s__Syntrophus sp. RIFOXYC2_FULL_54_9\",\"g__Unclassified;s__Syntrophobacterales bacterium GWC2_56_13\",\"g__Unclassified;s__Deltaproteobacteria bacterium RBG_13_47_9\",\"g__Unclassified;s__Deltaproteobacteria bacterium RBG_13_49_15\",\"g__Unclassified;s__Deltaproteobacteria bacterium RIFOXYD12_FULL_57_12\",\"g__Arcobacter;s__Arcobacter butzleri\",\"g__Campylobacter;s__Campylobacter jejuni\",\"g__Campylobacter;s__Campylobacter showae\",\"g__Campylobacter;s__Campylobacter sp. MIT 97-5078\",\"g__Helicobacter;s__Helicobacter bilis\",\"g__Helicobacter;s__Helicobacter suis\",\"g__Sulfurimonas;s__Sulfurimonas gotlandica\",\"g__Sulfurovum;s__Sulfurovum sp. AS07-7\",\"g__Aeromonas;s__Aeromonas allosaccharophila\",\"g__Succinatimonas;s__Succinatimonas sp. CAG:777\",\"g__Salinimonas;s__Salinimonas chungwhensis\",\"g__Colwellia;s__Colwellia piezophila\",\"g__Algicola;s__Algicola sagamiensis\",\"g__Pseudoalteromonas;s__Pseudoalteromonas sp. BMB\",\"g__Pseudoalteromonas;s__Pseudoalteromonas sp. BSi20652\",\"g__Shewanella;s__Shewanella baltica\",\"g__Cellvibrio;s__Cellvibrio sp. BR\",\"g__Allochromatium;s__Allochromatium vinosum\",\"g__Leminorella;s__Leminorella grimontii\",\"g__Cedecea;s__Cedecea neteri\",\"g__Citrobacter;s__Citrobacter freundii\",\"g__Enterobacter;s__Enterobacter asburiae\",\"g__Klebsiella;s__Klebsiella cf. planticola B43\",\"g__Klebsiella;s__[Enterobacter] aerogenes\",\"g__Kluyvera;s__Kluyvera intermedia\",\"g__Shigella;s__Shigella sp. FC569\",\"g__Pantoea;s__Pantoea agglomerans\",\"g__Pantoea;s__Pantoea ananatis\",\"g__Hafnia;s__Hafnia alvei\",\"g__Morganella;s__Morganella psychrotolerans\",\"g__Photorhabdus;s__Photorhabdus luminescens\",\"g__Xenorhabdus;s__Xenorhabdus bovienii\",\"g__Brenneria;s__Brenneria sp. EniD312\",\"g__Dickeya;s__Dickeya zeae\",\"g__Yersinia;s__Yersinia pseudotuberculosis\",\"g__Legionella;s__Legionella pneumophila\",\"g__Methylobacter;s__Methylobacter marinus\",\"g__Methylococcus;s__Methylococcus capsulatus\",\"g__Methylomonas;s__Methylomonas sp. 11b\",\"g__Methylohalobius;s__Methylohalobius crimeensis\",\"g__Alcanivorax;s__Alcanivorax nanhaiticus\",\"g__Halomonas;s__Halomonas xinjiangensis\",\"g__Unclassified;s__Halomonadaceae bacterium T82-2\",\"g__Marinobacterium;s__Marinobacterium profundum\",\"g__Marinobacterium;s__Marinobacterium stanieri\",\"g__Nitrincola;s__Nitrincola sp. A-D6\",\"g__Oleiphilus;s__Oleiphilus sp. HI0132\",\"g__Actinobacillus;s__Actinobacillus succinogenes\",\"g__Actinobacillus;s__Actinobacillus ureae\",\"g__Aggregatibacter;s__Aggregatibacter aphrophilus\",\"g__Gallibacterium;s__Gallibacterium genomosp. 3\",\"g__Haemophilus;s__Haemophilus parahaemolyticus\",\"g__Haemophilus;s__Haemophilus sp. CCUG 66565\",\"g__Haemophilus;s__Haemophilus sp. HMSC061E01\",\"g__Haemophilus;s__[Haemophilus] parasuis\",\"g__Acinetobacter;s__Acinetobacter gerneri\",\"g__Acinetobacter;s__Acinetobacter pittii\",\"g__Acinetobacter;s__Acinetobacter sp. A47\",\"g__Acinetobacter;s__Acinetobacter sp. DSM 11652\",\"g__Acinetobacter;s__Acinetobacter sp. MII\",\"g__Oblitimonas;s__Oblitimonas alkaliphila\",\"g__Pseudomonas;s__Pseudomonas coleopterorum\",\"g__Pseudomonas;s__Pseudomonas fluorescens\",\"g__Pseudomonas;s__Pseudomonas gingeri\",\"g__Pseudomonas;s__Pseudomonas graminis\",\"g__Pseudomonas;s__Pseudomonas luteola\",\"g__Pseudomonas;s__Pseudomonas putida\",\"g__Pseudomonas;s__Pseudomonas salegens\",\"g__Pseudomonas;s__Pseudomonas sp. 2(2015)\",\"g__Pseudomonas;s__Pseudomonas syringae\",\"g__Pseudomonas;s__Pseudomonas syringae group genomosp. 3\",\"g__Francisella;s__Francisella tularensis\",\"g__Beggiatoa;s__Beggiatoa sp. PS\",\"g__Thioploca;s__Thioploca ingrica\",\"g__Unclassified;s__Thiotrichales bacterium HS_08\",\"g__Unclassified;s__Gammaproteobacteria bacterium TR3.2\",\"g__Unclassified;s__endosymbiont of Loripes lucinalis\",\"g__Aliivibrio;s__Aliivibrio fischeri\",\"g__Photobacterium;s__Photobacterium leiognathi\",\"g__Vibrio;s__Vibrio alginolyticus\",\"g__Vibrio;s__Vibrio mimicus\",\"g__Vibrio;s__Vibrio nigripulchritudo\",\"g__Vibrio;s__Vibrio sp. J2-31\",\"g__Vibrio;s__Vibrio splendidus\",\"g__Lysobacter;s__Lysobacter enzymogenes\",\"g__Stenotrophomonas;s__Stenotrophomonas terrae\",\"g__Balneola;s__Balneola sp. EhC07\",\"g__Brachyspira;s__Brachyspira suanatina\",\"g__Spirochaeta;s__Spirochaeta thermophila\",\"g__Treponema;s__Treponema medium\",\"g__Treponema;s__Treponema putidum\",\"g__Treponema;s__Treponema sp. OMZ 838\",\"g__Leptospira;s__Leptospira alstonii\",\"g__Leptospira;s__Leptospira interrogans\",\"g__Leptospira;s__Leptospira wolffii\",\"g__Unclassified;s__Spirochaetes bacterium GWB1_36_13\",\"g__Unclassified;s__Spirochaetes bacterium GWD1_27_9\",\"g__Unclassified;s__Spirochaetes bacterium GWF1_49_6\",\"g__Cloacibacillus;s__Cloacibacillus evryensis\",\"g__Jonquetella;s__Jonquetella anthropi\",\"g__Thermovirga;s__Thermovirga lienii\",\"g__Spiroplasma;s__Spiroplasma taiwanense\",\"g__Mycoplasma;s__Mycoplasma iowae\",\"g__Unclassified;s__Tenericutes bacterium GWD2_38_27\",\"g__Fervidobacterium;s__Fervidobacterium pennivorans\",\"g__Thermosipho;s__Thermosipho africanus\",\"g__Unclassified;s__Parcubacteria group bacterium GW2011_GWF2_38_76\",\"g__Unclassified;s__bacterium 336_3\",\"g__Unclassified;s__bacterium BRH_c32\",\"g__Unclassified;s__bacterium SIT8\",\"g__Unclassified;s__candidate division WS6 bacterium 34_10\",\"g__Unclassified;s__uncultured bacterium (gcode 4)\",\"g__Unclassified;s__uncultured bacterium 3b03\",\"g__Unclassified;s__uncultured bacterium 3e18\",\"g__Unclassified;s__uncultured bacterium Ad_113_F04_contig1\",\"g__Unclassified;s__uncultured bacterium Ad_125_D08\",\"g__Unclassified;s__uncultured bacterium Ad_144_C12_contig1\",\"g__Unclassified;s__uncultured bacterium Contig1495\",\"g__Unclassified;s__uncultured bacterium Contig16\",\"g__Unclassified;s__uncultured bacterium Contig26\",\"g__Unclassified;s__uncultured bacterium Contig29\",\"g__Unclassified;s__uncultured bacterium Contig3a\",\"g__Unclassified;s__uncultured bacterium Contig4\",\"g__Unclassified;s__uncultured bacterium Contig9\",\"g__Unclassified;s__uncultured bacterium Contig99\",\"g__Unclassified;s__uncultured bacterium Contigcl_1556\",\"g__Unclassified;s__uncultured bacterium Contigcl_1774\",\"g__Unclassified;s__uncultured bacterium fosmid pJB69A5\",\"g__Unclassified;s__uncultured bacterium fosmid pJB92C9\",\"g__Chthoniobacter;s__Chthoniobacter flavus\",\"g__Unclassified;s__Verrucomicrobia bacterium RIFCSPHIGHO2_12_FULL_41_10\",\"g__Akkermansia;s__Akkermansia sp. KLE1797\",\"g__Akkermansia;s__uncultured Akkermansia sp. SMG25\",\"g__Unclassified;s__Verrucomicrobiae bacterium DG1235\",\"g__Verrucomicrobium;s__Verrucomicrobium spinosum\",\"g__Macrophomina;s__Macrophomina phaseolina\",\"g__Batrachochytrium;s__Batrachochytrium dendrobatidis\",\"g__Gonapodya;s__Gonapodya prolifera\",\"g__Silviavirus;s__Staphylococcus phage Stau2\",\"g__T4virus;s__Synechococcus phage ACG-2014f\",\"g__Unclassified;s__Bacillus virus G\",\"g__Unclassified;s__Mycobacterium phage Myrna\",\"g__Unclassified;s__Vibrio phage X29\",\"g__Unclassified;s__Yersinia phage phiR1-37\",\"g__Cba41virus;s__Cellulophaga virus Cba172\",\"g__N4virus;s__Achromobacter phage JWAlpha\",\"g__Phi29virus;s__Bacillus virus phi29\",\"g__Unclassified;s__Bacillus phage VMY22\",\"g__Unclassified;s__Cellulophaga phage phi38:1\",\"g__Unclassified;s__Brevibacillus phage Sundance\",\"g__Unclassified;s__Siphovirus contig89\",\"g__Potexvirus;s__Schlumbergera virus X\",\"g__Unclassified;s__Stenotrophomonas phage vB_SmaS-DLP_6\",\"g__Unclassified;s__Tenacibaculum phage pT24\",\"g__Unclassified;s__uncultured Mediterranean phage\",\"g__Unclassified;s__uncultured marine virus\",\"g__Unclassified;s__Candidatus Bathyarchaeota archaeon B26-2\",\"g__Unclassified;s__Candidatus Bathyarchaeota archaeon BA2\",\"g__Unclassified;s__Candidatus Bathyarchaeota archaeon RBG_13_60_20\",\"g__Unclassified;s__miscellaneous Crenarchaeota group-15 archaeon DG-45\",\"g__Candidatus Micrarchaeum;s__Candidatus Micrarchaeum acidiphilum\",\"g__Thermogladius;s__Thermogladius cellulolyticus\",\"g__Haladaptatus;s__Haladaptatus cibarius\",\"g__Halomicrobium;s__Halomicrobium mukohataei\",\"g__Halorientalis;s__Halorientalis persicus\",\"g__Haloferax;s__Haloferax elongans\",\"g__Halorubrum;s__Halorubrum sp. AJ67\",\"g__Halopiger;s__Halopiger salifodinae\",\"g__Halopiger;s__Halopiger xanaduensis\",\"g__Natrialba;s__Natrialba aegyptia\",\"g__Natronorubrum;s__Natronorubrum bangense\",\"g__Methanobacterium;s__Methanobacterium curvum\",\"g__Methanobacterium;s__Methanobacterium formicicum\",\"g__Methanobrevibacter;s__Methanobrevibacter arboriphilus\",\"g__Methanobrevibacter;s__Methanobrevibacter filiformis\",\"g__Methanobrevibacter;s__Methanobrevibacter gottschalkii\",\"g__Methanobrevibacter;s__Methanobrevibacter millerae\",\"g__Methanobrevibacter;s__Methanobrevibacter smithii\",\"g__Methanobrevibacter;s__Methanobrevibacter sp. A27\",\"g__Methanosphaera;s__Methanosphaera sp. WGK6\",\"g__Methanothermobacter;s__Methanothermobacter marburgensis\",\"g__Unclassified;s__Methanobacteriaceae archaeon 41_258\",\"g__Methanocaldococcus;s__Methanocaldococcus bathoardescens\",\"g__Methanococcus;s__Methanococcus aeolicus\",\"g__Methanococcus;s__Methanococcus maripaludis\",\"g__Methanococcus;s__Methanococcus vannielii\",\"g__Methanothermococcus;s__Methanothermococcus thermolithotrophicus\",\"g__Methanocella;s__Methanocella arvoryzae\",\"g__Methanocella;s__Methanocella paludicola\",\"g__Methanocorpusculum;s__Methanocorpusculum bavaricum\",\"g__Methanoculleus;s__Methanoculleus bourgensis\",\"g__Methanoculleus;s__Methanoculleus marisnigri\",\"g__Methanoculleus;s__Methanoculleus sediminis\",\"g__Methanoculleus;s__Methanoculleus thermophilus\",\"g__Methanofollis;s__Methanofollis liminatans\",\"g__Methanolacinia;s__Methanolacinia paynteri\",\"g__Methanolacinia;s__Methanolacinia petrolearia\",\"g__Methanoplanus;s__Methanoplanus limicola\",\"g__Methanosphaerula;s__Methanosphaerula palustris\",\"g__Methanospirillum;s__Methanospirillum hungatei\",\"g__Unclassified;s__methanogenic archaeon mixed culture ISO4-G1\",\"g__Candidatus Methanoperedens;s__Candidatus Methanoperedens nitroreducens\",\"g__Methanosaeta;s__Methanosaeta harundinacea\",\"g__Methanosaeta;s__Methanosaeta sp. SDB\",\"g__Methanosaeta;s__Methanosaeta thermophila\",\"g__Methanolobus;s__Methanolobus vulcani\",\"g__Methanosarcina;s__Methanosarcina horonobensis\",\"g__Methanosarcina;s__Methanosarcina sp. 1.H.A.2.2\",\"g__Methanosarcina;s__Methanosarcina sp. Kolksee\",\"g__Methanosarcina;s__Methanosarcina sp. WWM596\",\"g__Methanosarcina;s__Methanosarcina thermophila\",\"g__Unclassified;s__Arc I group archaeon ADurb1113_Bin01801\",\"g__Unclassified;s__Arc I group archaeon U1lsi0528_Bin089\",\"g__Pyrococcus;s__Pyrococcus furiosus\",\"g__Pyrococcus;s__Pyrococcus horikoshii\",\"g__Thermococcus;s__Thermococcus gammatolerans\",\"g__Thermococcus;s__Thermococcus sp. AM4\",\"g__Candidatus Methanomethylophilus;s__Candidatus Methanomethylophilus alvus\",\"g__Candidatus Methanomethylophilus;s__Candidatus Methanomethylophilus sp. 1R26\",\"g__Unclassified;s__Methanomassiliicoccales archaeon RumEn M1\",\"g__Acidiplasma;s__Acidiplasma cupricumulans\",\"g__Thermoplasma;s__Thermoplasma acidophilum\",\"g__Unclassified;s__Thermoplasmatales archaeon SCGC AB-539-N05\",\"g__Unclassified;s__Thermoplasmatales archaeon SG8-52-3\",\"g__Unclassified;s__Thermoplasmatales archaeon SG8-52-4\",\"g__Unclassified;s__Candidatus Altiarchaeales archaeon WOR_SM1_79\",\"g__Unclassified;s__Candidatus Altiarchaeales archaeon WOR_SM1_SCG\",\"g__Aciduliprofundum;s__Aciduliprofundum boonei\",\"g__Unclassified;s__Euryarchaeota archaeon RBG_13_31_8\",\"g__Unclassified;s__candidate divison MSBL1 archaeon SCGC-AAA259A05\",\"g__Unclassified;s__candidate divison MSBL1 archaeon SCGC-AAA259O05\",\"g__Unclassified;s__uncultured marine group II_III euryarchaeote AD1000_25_A05\",\"g__Nitrososphaera;s__Candidatus Nitrososphaera evergladensis\",\"g__Unclassified;s__archaeon GW2011_AR15\",\"g__Unclassified;s__archaeon GW2011_AR17\",\"g__Unclassified;s__archaeon GW2011_AR18\",\"g__Unclassified;s__archaeon GW2011_AR9\",\"g__Unclassified;s__uncultured archaeon\",\"g__Acidobacterium;s__Acidobacterium capsulatum\",\"g__Bryocella;s__Bryocella elongata\",\"g__Candidatus Koribacter;s__Candidatus Koribacter versatilis\",\"g__Granulicella;s__Granulicella tundricola\",\"g__Silvibacterium;s__Silvibacterium bohemicum\",\"g__Terriglobus;s__Terriglobus sp. TAA 43\",\"g__Unclassified;s__Acidobacteria bacterium KBS 146\",\"g__Pyrinomonas;s__Pyrinomonas methylaliphatogenes\",\"g__Bryobacter;s__Bryobacter aggregatus\",\"g__Unclassified;s__Acidobacteria bacterium OLB17\",\"g__Unclassified;s__Acidobacteria bacterium RBG_13_68_16\",\"g__Unclassified;s__Acidobacteria bacterium RBG_16_64_8\",\"g__Unclassified;s__Acidobacteria bacterium RIFCSPLOWO2_02_FULL_59_13\",\"g__Unclassified;s__Acidobacteria bacterium RIFCSPLOWO2_02_FULL_65_29\",\"g__Unclassified;s__Acidobacteria bacterium RIFCSPLOWO2_12_FULL_59_11\",\"g__Unclassified;s__Acidobacteria bacterium RIFCSPLOWO2_12_FULL_67_14b\",\"g__Unclassified;s__Acidobacteria bacterium SCN 69-37\",\"g__Unclassified;s__uncultured Acidobacteria bacterium\",\"g__Acidithrix;s__Acidithrix ferrooxidans\",\"g__Ilumatobacter;s__Ilumatobacter coccineus\",\"g__Actinomyces;s__Actinomyces georgiae\",\"g__Actinomyces;s__Actinomyces israelii\",\"g__Actinomyces;s__Actinomyces ruminicola\",\"g__Actinomyces;s__Actinomyces slackii\",\"g__Actinomyces;s__Actinomyces sp. VUL4_3\",\"g__Actinomyces;s__Actinomyces sp. oral taxon 172\",\"g__Actinomyces;s__Actinomyces sp. oral taxon 414\",\"g__Actinomyces;s__Actinomyces urogenitalis\",\"g__Actinomyces;s__Actinomyces vaccimaxillae\",\"g__Actinotignum;s__Actinotignum urinale\",\"g__Arcanobacterium;s__Arcanobacterium haemolyticum\",\"g__Trueperella;s__Trueperella sp. HMSC08B05\",\"g__Alloscardovia;s__Alloscardovia sp. HMSC034E08\",\"g__Bifidobacterium;s__Bifidobacterium aesculapii\",\"g__Bifidobacterium;s__Bifidobacterium bohemicum\",\"g__Bifidobacterium;s__Bifidobacterium choerinum\",\"g__Bifidobacterium;s__Bifidobacterium longum CAG:69\",\"g__Bifidobacterium;s__Bifidobacterium psychraerophilum\",\"g__Bifidobacterium;s__Bifidobacterium reuteri\",\"g__Bifidobacterium;s__Bifidobacterium sp. A11\",\"g__Bifidobacterium;s__Bifidobacterium thermophilum\",\"g__Bifidobacterium;s__Bifidobacterium tsurumiense\",\"g__Corynebacterium;s__Corynebacterium capitovis\",\"g__Corynebacterium;s__Corynebacterium jeikeium\",\"g__Corynebacterium;s__Corynebacterium mastitidis\",\"g__Corynebacterium;s__Corynebacterium pseudogenitalium\",\"g__Corynebacterium;s__Corynebacterium pseudotuberculosis\",\"g__Corynebacterium;s__Corynebacterium sp. HMSC05C01\",\"g__Corynebacterium;s__Corynebacterium sp. HMSC065D07\",\"g__Corynebacterium;s__Corynebacterium sp. HMSC08D02\",\"g__Corynebacterium;s__Corynebacterium sp. HMSC30G07\",\"g__Corynebacterium;s__Corynebacterium ureicelerivorans\",\"g__Corynebacterium;s__Corynebacterium variabile\",\"g__Unclassified;s__Corynebacterium-like bacterium B27\",\"g__Skermania;s__Skermania piniformis\",\"g__Mycobacterium;s__Mycobacterium abscessus\",\"g__Mycobacterium;s__Mycobacterium asiaticum\",\"g__Mycobacterium;s__Mycobacterium canariasense\",\"g__Mycobacterium;s__Mycobacterium chelonae\",\"g__Mycobacterium;s__Mycobacterium fortuitum\",\"g__Mycobacterium;s__Mycobacterium immunogenum\",\"g__Mycobacterium;s__Mycobacterium sp. SCH\",\"g__Mycobacterium;s__Mycobacterium sp. UM_WWY\",\"g__Nocardia;s__Nocardia abscessus\",\"g__Nocardia;s__Nocardia cyriacigeorgica\",\"g__Nocardia;s__Nocardia farcinica\",\"g__Nocardia;s__Nocardia sp. CNY236\",\"g__Nocardia;s__Nocardia speluncae\",\"g__Rhodococcus;s__Rhodococcus erythropolis\",\"g__Rhodococcus;s__Rhodococcus fascians\",\"g__Rhodococcus;s__Rhodococcus rhodnii\",\"g__Tsukamurella;s__Tsukamurella paurometabola\",\"g__Tsukamurella;s__Tsukamurella tyrosinosolvens\",\"g__Frankia;s__Frankia sp. EUN1f\",\"g__Geodermatophilus;s__Geodermatophilus africanus\",\"g__Haloglycomyces;s__Haloglycomyces albus\",\"g__Beutenbergia;s__Beutenbergia cavernae\",\"g__Brevibacterium;s__Brevibacterium ravenspurgense\",\"g__Cellulomonas;s__Cellulomonas sp. SN7\",\"g__Cellulomonas;s__Cellulomonas sp. URHD0024\",\"g__Demequina;s__Demequina salsinemoris\",\"g__Lysinimicrobium;s__Lysinimicrobium subtropicum\",\"g__Kytococcus;s__Kytococcus sedentarius\",\"g__Austwickia;s__Austwickia chelonae\",\"g__Piscicoccus;s__Piscicoccus intestinalis\",\"g__Knoellia;s__Knoellia sinensis\",\"g__Terrabacter;s__Terrabacter sp. 28\",\"g__Terrabacter;s__Terrabacter sp. Root85\",\"g__Terracoccus;s__Terracoccus sp. 273MFTsu3.1\",\"g__Tetrasphaera;s__Tetrasphaera jenkinsii\",\"g__Jonesia;s__Jonesia denitrificans\",\"g__Agrococcus;s__Agrococcus carbonis\",\"g__Agromyces;s__Agromyces subbeticus\",\"g__Candidatus Aquiluna;s__Candidatus Aquiluna sp. UB-MaderosW2red\",\"g__Cryobacterium;s__Cryobacterium flavum\",\"g__Curtobacterium;s__Curtobacterium sp. ER1_6\",\"g__Gryllotalpicola;s__Gryllotalpicola ginsengisoli\",\"g__Herbiconiux;s__Herbiconiux solani\",\"g__Leifsonia;s__Leifsonia xyli\",\"g__Microbacterium;s__Microbacterium barkeri\",\"g__Microbacterium;s__Microbacterium resistens\",\"g__Microbacterium;s__Microbacterium sp. 292MF\",\"g__Microbacterium;s__Microbacterium sp. Leaf320\",\"g__Microbacterium;s__Microbacterium sp. SA39\",\"g__Mycetocola;s__Mycetocola saprophilus\",\"g__Arthrobacter;s__Arthrobacter sp. AK-YN10\",\"g__Arthrobacter;s__Arthrobacter sp. D2\",\"g__Arthrobacter;s__Arthrobacter sp. EpRS71\",\"g__Arthrobacter;s__Arthrobacter sp. FB24\",\"g__Arthrobacter;s__Arthrobacter sp. Hiyo6\",\"g__Arthrobacter;s__Arthrobacter sp. Leaf69\",\"g__Arthrobacter;s__Arthrobacter sp. PAMC 25486\",\"g__Arthrobacter;s__Arthrobacter sp. TB 26\",\"g__Kocuria;s__Kocuria varians\",\"g__Pseudarthrobacter;s__Pseudarthrobacter sulfonivorans\",\"g__Rothia;s__Rothia mucilaginosa\",\"g__Rothia;s__Rothia sp. HMSC069C01\",\"g__Rothia;s__Rothia sp. T40-1\",\"g__Sinomonas;s__Sinomonas atrocyanea\",\"g__Cellulosimicrobium;s__Cellulosimicrobium cellulans\",\"g__Cellulosimicrobium;s__Cellulosimicrobium sp. MM\",\"g__Isoptericola;s__Isoptericola dokdonensis\",\"g__Unclassified;s__Promicromonosporaceae bacterium W15\",\"g__Ruania;s__Ruania albidiflava\",\"g__Actinoplanes;s__Actinoplanes friuliensis\",\"g__Asanoa;s__Asanoa ishikariensis\",\"g__Catelliglobosispora;s__Catelliglobosispora koreensis\",\"g__Micromonospora;s__Micromonospora rosaria\",\"g__Micromonospora;s__Micromonospora siamensis\",\"g__Micromonospora;s__Micromonospora yangpuensis\",\"g__Salinispora;s__Salinispora arenicola\",\"g__Salinispora;s__Salinispora pacifica\",\"g__Kribbella;s__Kribbella flavida\",\"g__Nocardioides;s__Nocardioides jensenii\",\"g__Nocardioides;s__Nocardioides sp. J54\",\"g__Nocardioides;s__Nocardioides sp. JS614\",\"g__Propionicicella;s__Propionicicella superfundia\",\"g__Microlunatus;s__Microlunatus phosphovorus\",\"g__Propionibacterium;s__Propionibacterium acidifaciens\",\"g__Propionibacterium;s__Propionibacterium acnes\",\"g__Propionibacterium;s__Propionibacterium sp. DORA_15\",\"g__Propionimicrobium;s__Propionimicrobium lymphophilum\",\"g__Propionimicrobium;s__Propionimicrobium sp. BV2F7\",\"g__Pseudopropionibacterium;s__Pseudopropionibacterium propionicum\",\"g__Tessaracoccus;s__Tessaracoccus lapidicaptus\",\"g__Allokutzneria;s__Allokutzneria albata\",\"g__Amycolatopsis;s__Amycolatopsis decaplanina\",\"g__Amycolatopsis;s__Amycolatopsis nigrescens\",\"g__Amycolatopsis;s__Amycolatopsis saalfeldensis\",\"g__Kibdelosporangium;s__Kibdelosporangium aridum\",\"g__Pseudonocardia;s__Pseudonocardia acaciae\",\"g__Pseudonocardia;s__Pseudonocardia asaccharolytica\",\"g__Saccharopolyspora;s__Saccharopolyspora hirsuta\",\"g__Kitasatospora;s__Kitasatospora griseola\",\"g__Kitasatospora;s__Kitasatospora sp. MBT66\",\"g__Streptacidiphilus;s__Streptacidiphilus anmyonensis\",\"g__Streptacidiphilus;s__Streptacidiphilus jeojiense\",\"g__Streptomyces;s__Streptomyces achromogenes\",\"g__Streptomyces;s__Streptomyces auratus\",\"g__Streptomyces;s__Streptomyces aureofaciens\",\"g__Streptomyces;s__Streptomyces azureus\",\"g__Streptomyces;s__Streptomyces griseochromogenes\",\"g__Streptomyces;s__Streptomyces griseoplanus\",\"g__Streptomyces;s__Streptomyces griseus\",\"g__Streptomyces;s__Streptomyces indicus\",\"g__Streptomyces;s__Streptomyces ipomoeae\",\"g__Streptomyces;s__Streptomyces niveus\",\"g__Streptomyces;s__Streptomyces phaeochromogenes\",\"g__Streptomyces;s__Streptomyces regalis\",\"g__Streptomyces;s__Streptomyces rimosus\",\"g__Streptomyces;s__Streptomyces silvensis\",\"g__Streptomyces;s__Streptomyces sp. AVP053U2\",\"g__Streptomyces;s__Streptomyces sp. DI166\",\"g__Streptomyces;s__Streptomyces sp. HGB0020\",\"g__Streptomyces;s__Streptomyces sp. HmicA12\",\"g__Streptomyces;s__Streptomyces sp. MBT76\",\"g__Streptomyces;s__Streptomyces sp. NRRL B-1347\",\"g__Streptomyces;s__Streptomyces sp. NRRL F-5053\",\"g__Streptomyces;s__Streptomyces sp. NRRL WC-3618\",\"g__Streptomyces;s__Streptomyces sp. RV15\",\"g__Streptomyces;s__Streptomyces sp. Tu6071\",\"g__Streptomyces;s__Streptomyces sp. TverLS-915\",\"g__Streptomyces;s__Streptomyces sp. yr375\",\"g__Streptomyces;s__Streptomyces sviceus\",\"g__Nocardiopsis;s__Nocardiopsis chromatogenes\",\"g__Nocardiopsis;s__Nocardiopsis sp. RV163\",\"g__Nocardiopsis;s__Nocardiopsis valliformis\",\"g__Herbidospora;s__Herbidospora daliensis\",\"g__Herbidospora;s__Herbidospora sakaeratensis\",\"g__Microtetraspora;s__Microtetraspora glauca\",\"g__Nonomuraea;s__Nonomuraea candida\",\"g__Sinosporangium;s__Sinosporangium album\",\"g__Streptosporangium;s__Streptosporangium amethystogenes\",\"g__Actinomadura;s__Actinomadura hibisca\",\"g__Actinomadura;s__Actinomadura oligospora\",\"g__Spirillospora;s__Spirillospora albida\",\"g__Unclassified;s__Actinobacteria bacterium 66_15\",\"g__Unclassified;s__Actinobacteria bacterium UC5.1-1B11\",\"g__Atopobium;s__Atopobium deltae\",\"g__Atopobium;s__Atopobium parvulum\",\"g__Atopobium;s__Atopobium rimae\",\"g__Atopobium;s__Atopobium sp. BS2\",\"g__Atopobium;s__Atopobium sp. ICM42b\",\"g__Atopobium;s__Atopobium sp. oral taxon 199\",\"g__Atopobium;s__Atopobium sp. oral taxon 810\",\"g__Olsenella;s__Olsenella sp. oral taxon 809\",\"g__Collinsella;s__uncultured Collinsella sp.\",\"g__Collinsella;s__uncultured Collinsella sp. SMG3\",\"g__Slackia;s__Slackia sp. NATTS\",\"g__Unclassified;s__Eggerthellaceae bacterium AT8\",\"g__Conexibacter;s__Conexibacter woesei\",\"g__Solirubrobacter;s__Solirubrobacter soli\",\"g__Unclassified;s__Actinobacteria bacterium GWC2_53_9\",\"g__Unclassified;s__Actinobacteria bacterium RBG_16_64_13\",\"g__Unclassified;s__Actinobacteria bacterium RBG_16_70_17\",\"g__Unclassified;s__Actinobacteria bacterium RBG_19FT_COMBO_70_19\",\"g__Hydrogenivirga;s__Hydrogenivirga sp. 128-5-R1-1\",\"g__Persephonella;s__Persephonella marina\",\"g__Sulfurihydrogenibium;s__Sulfurihydrogenibium azorense\",\"g__Sulfurihydrogenibium;s__Sulfurihydrogenibium sp. YO3AOP1\",\"g__Desulfurobacterium;s__Desulfurobacterium sp. TC5-1\",\"g__Desulfurobacterium;s__Desulfurobacterium thermolithotrophum\",\"g__Unclassified;s__Armatimonadetes bacterium DC\",\"g__Unclassified;s__Armatimonadetes bacterium RBG_19FT_COMBO_69_19\",\"g__Bacteroides;s__Bacteroides sp. UW\",\"g__Porphyromonas;s__Porphyromonas bennonis\",\"g__Porphyromonas;s__Porphyromonas sp. COT-052 OH4946\",\"g__Porphyromonas;s__Porphyromonas sp. COT-108 OH1349\",\"g__Porphyromonas;s__Porphyromonas sp. COT-108 OH2963\",\"g__Porphyromonas;s__Porphyromonas sp. COT-290 OH860\",\"g__Porphyromonas;s__Porphyromonas sp. KLE 1280\",\"g__Porphyromonas;s__Porphyromonas sp. oral taxon 278\",\"g__Proteiniphilum;s__Proteiniphilum sp. 51_7\",\"g__Prevotella;s__Prevotella conceptionensis\",\"g__Prevotella;s__Prevotella sp. Sc00044\",\"g__Phocaeicola;s__Phocaeicola abscessus\",\"g__Arachidicoccus;s__Arachidicoccus sp. BS20\",\"g__Chitinophaga;s__Chitinophaga terrae Kim and Jung 2007\",\"g__Flavihumibacter;s__Flavihumibacter petaseus\",\"g__Flavihumibacter;s__Flavihumibacter sp. ZG627\",\"g__Flavisolibacter;s__Flavisolibacter sp. LCS9\",\"g__Hydrobacter;s__Hydrobacter penzbergensis\",\"g__Sediminibacterium;s__Sediminibacterium salmoneum\",\"g__Segetibacter;s__Segetibacter koreensis\",\"g__Aureispira;s__Aureispira sp. CCB-QB1\",\"g__Lewinella;s__Lewinella agarilytica\",\"g__Phaeodactylibacter;s__Phaeodactylibacter xiamenensis\",\"g__Candidatus Amoebophilus;s__Candidatus Amoebophilus asiaticus\",\"g__Catalinimonas;s__Catalinimonas alkaloidigena\",\"g__Algoriphagus;s__Algoriphagus alkaliphilus\",\"g__Algoriphagus;s__Algoriphagus faecimaris\",\"g__Algoriphagus;s__Algoriphagus terrigena\",\"g__Cyclobacterium;s__Cyclobacterium amurskyense\",\"g__Cyclobacterium;s__Cyclobacterium marinum\",\"g__Indibacter;s__Indibacter alkaliphilus\",\"g__Lunatimonas;s__Lunatimonas lonarensis\",\"g__Nitritalea;s__Nitritalea halalkaliphila\",\"g__Dyadobacter;s__Dyadobacter alkalitolerans\",\"g__Dyadobacter;s__Dyadobacter beijingensis\",\"g__Dyadobacter;s__Dyadobacter sp. Leaf189\",\"g__Dyadobacter;s__Dyadobacter sp. SG02\",\"g__Dyadobacter;s__uncultured Dyadobacter sp.\",\"g__Emticicia;s__Emticicia oligotrophica\",\"g__Emticicia;s__Emticicia sp. MM\",\"g__Fibrisoma;s__Fibrisoma limi\",\"g__Flectobacillus;s__Flectobacillus major\",\"g__Leadbetterella;s__Leadbetterella sp. JN14-9\",\"g__Rudanella;s__Rudanella lutea\",\"g__Runella;s__Runella limosa\",\"g__Spirosoma;s__Spirosoma spitsbergense\",\"g__Sporocytophaga;s__Sporocytophaga myxococcoides\",\"g__Cesiribacter;s__Cesiribacter andamanensis\",\"g__Fabibacter;s__Fabibacter pacificus\",\"g__Flammeovirga;s__Flammeovirga pacifica\",\"g__Flammeovirga;s__Flammeovirga sp. MY04\",\"g__Flammeovirga;s__Flammeovirga sp. OC4\",\"g__Fulvivirga;s__Fulvivirga imtechensis\",\"g__Roseivirga;s__Roseivirga ehrenbergii\",\"g__Roseivirga;s__Roseivirga seohaensis\",\"g__Roseivirga;s__Roseivirga spongicola\",\"g__Adhaeribacter;s__Adhaeribacter aquaticus\",\"g__Hymenobacter;s__Hymenobacter actinosclerus\",\"g__Hymenobacter;s__Hymenobacter sp. CCM 8648\",\"g__Hymenobacter;s__Hymenobacter sp. CCM 8649\",\"g__Hymenobacter;s__Hymenobacter sp. PAMC 26628\",\"g__Pontibacter;s__Pontibacter actiniarum\",\"g__Pontibacter;s__Pontibacter akesuensis\",\"g__Rufibacter;s__Rufibacter roseus\",\"g__Rufibacter;s__Rufibacter sp. CCM 8646\",\"g__Rufibacter;s__Rufibacter sp. DG31D\",\"g__Rufibacter;s__Rufibacter tibetensis\",\"g__Persicobacter;s__Persicobacter sp. CCB-QB2\",\"g__Unclassified;s__Cytophagales bacterium MC1A\",\"g__Crocinitomix;s__Crocinitomix sp. 0182\",\"g__Aequorivita;s__Aequorivita capsosiphonis\",\"g__Aquimarina;s__Aquimarina agarivorans\",\"g__Aquimarina;s__Aquimarina amphilecti\",\"g__Aquimarina;s__Aquimarina atlantica\",\"g__Aquimarina;s__Aquimarina latercula\",\"g__Arenibacter;s__Arenibacter algicola\",\"g__Arenibacter;s__Arenibacter latericius\",\"g__Bergeyella;s__Bergeyella zoohelcum\",\"g__Bizionia;s__Bizionia argentinensis\",\"g__Bizionia;s__Bizionia paragorgiae\",\"g__Bizionia;s__Bizionia sp. APA-3\",\"g__Capnocytophaga;s__Capnocytophaga sp. CM59\",\"g__Capnocytophaga;s__Capnocytophaga sp. oral taxon 323\",\"g__Capnocytophaga;s__Capnocytophaga sp. oral taxon 324\",\"g__Capnocytophaga;s__Capnocytophaga sp. oral taxon 335\",\"g__Capnocytophaga;s__Capnocytophaga sp. oral taxon 336\",\"g__Capnocytophaga;s__Capnocytophaga sp. oral taxon 338\",\"g__Capnocytophaga;s__Capnocytophaga sp. oral taxon 380\",\"g__Capnocytophaga;s__Capnocytophaga sputigena\",\"g__Cellulophaga;s__Cellulophaga algicola\",\"g__Cellulophaga;s__Cellulophaga lytica\",\"g__Cellulophaga;s__Cellulophaga sp. Hel_I_12\",\"g__Chryseobacterium;s__Chryseobacterium angstadtii\",\"g__Chryseobacterium;s__Chryseobacterium arthrosphaerae\",\"g__Chryseobacterium;s__Chryseobacterium artocarpi\",\"g__Chryseobacterium;s__Chryseobacterium daeguense\",\"g__Chryseobacterium;s__Chryseobacterium formosense\",\"g__Chryseobacterium;s__Chryseobacterium gregarium\",\"g__Chryseobacterium;s__Chryseobacterium hispalense\",\"g__Chryseobacterium;s__Chryseobacterium jejuense\",\"g__Chryseobacterium;s__Chryseobacterium koreense\",\"g__Chryseobacterium;s__Chryseobacterium luteum\",\"g__Chryseobacterium;s__Chryseobacterium oranimense\",\"g__Chryseobacterium;s__Chryseobacterium palustre\",\"g__Chryseobacterium;s__Chryseobacterium solincola\",\"g__Chryseobacterium;s__Chryseobacterium sp. CCH4-E10\",\"g__Chryseobacterium;s__Chryseobacterium sp. G972\",\"g__Chryseobacterium;s__Chryseobacterium sp. Hurlbut01\",\"g__Chryseobacterium;s__Chryseobacterium sp. IHB B 10212\",\"g__Chryseobacterium;s__Chryseobacterium sp. JM1\",\"g__Chryseobacterium;s__Chryseobacterium sp. Leaf180\",\"g__Chryseobacterium;s__Chryseobacterium sp. Leaf201\",\"g__Chryseobacterium;s__Chryseobacterium sp. Leaf405\",\"g__Chryseobacterium;s__Chryseobacterium sp. OV259\",\"g__Chryseobacterium;s__Chryseobacterium sp. OV705\",\"g__Chryseobacterium;s__Chryseobacterium sp. OV715\",\"g__Chryseobacterium;s__Chryseobacterium sp. SCN 40-13\",\"g__Chryseobacterium;s__Chryseobacterium sp. StRB126\",\"g__Chryseobacterium;s__Chryseobacterium sp. UNC8MFCol\",\"g__Chryseobacterium;s__Chryseobacterium sp. YR005\",\"g__Chryseobacterium;s__Chryseobacterium sp. YR477\",\"g__Chryseobacterium;s__Chryseobacterium sp. YR480\",\"g__Chryseobacterium;s__Chryseobacterium taeanense\",\"g__Chryseobacterium;s__Chryseobacterium taichungense\",\"g__Chryseobacterium;s__Chryseobacterium taihuense\",\"g__Chryseobacterium;s__Chryseobacterium taiwanense\",\"g__Chryseobacterium;s__Chryseobacterium vrystaatense\",\"g__Chryseobacterium;s__Chryseobacterium wanjuense\",\"g__Cloacibacterium;s__Cloacibacterium normanense\",\"g__Dokdonia;s__Dokdonia donghaensis\",\"g__Dokdonia;s__Dokdonia sp. 4H-3-7-5\",\"g__Dokdonia;s__Dokdonia sp. PRO95\",\"g__Elizabethkingia;s__Elizabethkingia genomosp. 2\",\"g__Elizabethkingia;s__Elizabethkingia meningoseptica\",\"g__Empedobacter;s__Empedobacter brevis\",\"g__Epilithonimonas;s__Epilithonimonas sp. J200\",\"g__Epilithonimonas;s__Epilithonimonas tenax\",\"g__Eudoraea;s__Eudoraea adriatica\",\"g__Flaviramulus;s__Flaviramulus ichthyoenteri\",\"g__Flavobacterium;s__Flavobacterium anhuiense\",\"g__Flavobacterium;s__Flavobacterium aquidurense\",\"g__Flavobacterium;s__Flavobacterium cauense\",\"g__Flavobacterium;s__Flavobacterium degerlachei\",\"g__Flavobacterium;s__Flavobacterium gillisiae\",\"g__Flavobacterium;s__Flavobacterium hydatis\",\"g__Flavobacterium;s__Flavobacterium limnosediminis\",\"g__Flavobacterium;s__Flavobacterium marinum\",\"g__Flavobacterium;s__Flavobacterium reichenbachii\",\"g__Flavobacterium;s__Flavobacterium rivuli\",\"g__Flavobacterium;s__Flavobacterium sasangense\",\"g__Flavobacterium;s__Flavobacterium soli\",\"g__Flavobacterium;s__Flavobacterium sp. 83\",\"g__Flavobacterium;s__Flavobacterium sp. ABG\",\"g__Flavobacterium;s__Flavobacterium sp. ACAM 123\",\"g__Flavobacterium;s__Flavobacterium sp. F52\",\"g__Flavobacterium;s__Flavobacterium sp. JRM\",\"g__Flavobacterium;s__Flavobacterium sp. KMS\",\"g__Flavobacterium;s__Flavobacterium sp. LPB0076\",\"g__Flavobacterium;s__Flavobacterium sp. PK15\",\"g__Flavobacterium;s__Flavobacterium sp. Root420\",\"g__Flavobacterium;s__Flavobacterium sp. Root901\",\"g__Flavobacterium;s__Flavobacterium sp. WG21\",\"g__Flavobacterium;s__Flavobacterium sp. fv08\",\"g__Flavobacterium;s__Flavobacterium urocaniciphilum\",\"g__Formosa;s__Formosa agariphila\",\"g__Formosa;s__Formosa algae\",\"g__Formosa;s__Formosa haliotis\",\"g__Formosa;s__Formosa sp. Hel1_31_208\",\"g__Gelidibacter;s__Gelidibacter mesophilus\",\"g__Gillisia;s__Gillisia limnaea\",\"g__Gramella;s__Gramella portivictoriae\",\"g__Hyunsoonleella;s__Hyunsoonleella jejuensis\",\"g__Joostella;s__Joostella marina\",\"g__Kordia;s__Kordia jejudonensis\",\"g__Lacinutrix;s__Lacinutrix algicola\",\"g__Lacinutrix;s__Lacinutrix himadriensis\",\"g__Lacinutrix;s__Lacinutrix mariniflava\",\"g__Lacinutrix;s__Lacinutrix sp. 5H-3-7-4\",\"g__Leeuwenhoekiella;s__Leeuwenhoekiella sp. Hel_I_48\",\"g__Leeuwenhoekiella;s__Leeuwenhoekiella sp. MAR_2009_132\",\"g__Maribacter;s__Maribacter dokdonensis\",\"g__Maribacter;s__Maribacter orientalis\",\"g__Maribacter;s__Maribacter sp. Hel_I_7\",\"g__Maribacter;s__Maribacter thermophilus\",\"g__Mesoflavibacter;s__Mesoflavibacter zeaxanthinifaciens\",\"g__Muricauda;s__Muricauda sp. MAR_2010_75\",\"g__Muricauda;s__Muricauda zhangzhouensis\",\"g__Myroides;s__Myroides injenensis\",\"g__Myroides;s__Myroides marinus\",\"g__Myroides;s__Myroides phaeus\",\"g__Nonlabens;s__Nonlabens sp. Hel1_33_55\",\"g__Nonlabens;s__Nonlabens sp. MIC269\",\"g__Ochrovirga;s__Ochrovirga pacifica\",\"g__Polaribacter;s__Polaribacter atrinae\",\"g__Polaribacter;s__Polaribacter dokdonensis\",\"g__Polaribacter;s__Polaribacter sp. Hel1_33_49\",\"g__Polaribacter;s__Polaribacter sp. Hel1_85\",\"g__Polaribacter;s__Polaribacter sp. MED152\",\"g__Polaribacter;s__Polaribacter vadi\",\"g__Pricia;s__Pricia antarctica\",\"g__Psychroflexus;s__Psychroflexus sediminis\",\"g__Psychroflexus;s__Psychroflexus torquis\",\"g__Psychroserpens;s__Psychroserpens damuponensis\",\"g__Psychroserpens;s__Psychroserpens jangbogonensis\",\"g__Psychroserpens;s__Psychroserpens mesophilus\",\"g__Riemerella;s__Riemerella columbipharyngis\",\"g__Salegentibacter;s__Salegentibacter mishustinae\",\"g__Salegentibacter;s__Salegentibacter salarius\",\"g__Salegentibacter;s__Salegentibacter sp. Hel_I_6\",\"g__Salinimicrobium;s__Salinimicrobium xinjiangense\",\"g__Sediminibacter;s__Sediminibacter sp. Hel_I_10\",\"g__Tamlana;s__Tamlana sedimentorum\",\"g__Tenacibaculum;s__Tenacibaculum dicentrarchi\",\"g__Tenacibaculum;s__Tenacibaculum maritimum\",\"g__Tenacibaculum;s__Tenacibaculum mesophilum\",\"g__Tenacibaculum;s__Tenacibaculum ovolyticum\",\"g__Ulvibacter;s__Ulvibacter litoralis\",\"g__Ulvibacter;s__Ulvibacter sp. LPB0005\",\"g__Unclassified;s__Flavobacteriaceae bacterium (ex Bugula neritina AB1)\",\"g__Unclassified;s__Flavobacteriaceae bacterium 3519-10\",\"g__Vitellibacter;s__Vitellibacter soesokkakensis\",\"g__Vitellibacter;s__Vitellibacter vladivostokensis\",\"g__Weeksella;s__Weeksella sp. FF8\",\"g__Weeksella;s__Weeksella virosa\",\"g__Winogradskyella;s__Winogradskyella psychrotolerans\",\"g__Winogradskyella;s__Winogradskyella sp. PG-2\",\"g__Winogradskyella;s__Winogradskyella sp. RHA_55\",\"g__Xanthomarina;s__Xanthomarina gelatinilytica\",\"g__Zobellia;s__Zobellia galactanivorans\",\"g__Zobellia;s__Zobellia uliginosa\",\"g__Schleiferia;s__Schleiferia thermophila\",\"g__Unclassified;s__Flavobacteriales bacterium ALC-1\",\"g__Unclassified;s__Flavobacteriales bacterium BRH_c54\",\"g__Unclassified;s__Flavobacteria bacterium BBFL7\",\"g__Unclassified;s__Flavobacteria bacterium GWF1_32_7\",\"g__Unclassified;s__Flavobacteria bacterium MS024-3C\",\"g__Unclassified;s__Flavobacteria bacterium RIFCSPLOWO2_12_FULL_31_7\",\"g__Mucilaginibacter;s__Mucilaginibacter gossypiicola\",\"g__Mucilaginibacter;s__Mucilaginibacter sp. NFR10\",\"g__Mucilaginibacter;s__Mucilaginibacter sp. OK283\",\"g__Pedobacter;s__Pedobacter agri\",\"g__Pedobacter;s__Pedobacter borealis\",\"g__Pedobacter;s__Pedobacter ginsenosidimutans\",\"g__Pedobacter;s__Pedobacter hartonius\",\"g__Pedobacter;s__Pedobacter kyungheensis\",\"g__Pedobacter;s__Pedobacter oryzae\",\"g__Pedobacter;s__Pedobacter ruber\",\"g__Pedobacter;s__Pedobacter soli\",\"g__Pedobacter;s__Pedobacter sp. BAL39\",\"g__Pedobacter;s__Pedobacter sp. Leaf216\",\"g__Pedobacter;s__Pedobacter sp. Leaf41\",\"g__Pedobacter;s__Pedobacter sp. R20-19\",\"g__Sphingobacterium;s__Sphingobacterium sp. Ag1\",\"g__Sphingobacterium;s__Sphingobacterium sp. CFCC 11742\",\"g__Sphingobacterium;s__Sphingobacterium sp. HMSC13C05\",\"g__Sphingobacterium;s__Sphingobacterium sp. IITKGP-BTPF85\",\"g__Sphingobacterium;s__Sphingobacterium sp. PM2-P1-29\",\"g__Sphingobacterium;s__Sphingobacterium thalpophilum\",\"g__Unclassified;s__Sphingobacteriales bacterium SCN 48-20\",\"g__Salisaeta;s__Salisaeta longa\",\"g__Unclassified;s__Bacteroidetes bacterium GWA2_30_7\",\"g__Unclassified;s__Bacteroidetes bacterium GWA2_31_9\",\"g__Unclassified;s__Bacteroidetes bacterium GWA2_40_14\",\"g__Unclassified;s__Bacteroidetes bacterium GWE2_29_8\",\"g__Unclassified;s__Bacteroidetes bacterium GWF2_29_10\",\"g__Unclassified;s__Bacteroidetes bacterium GWF2_33_38\",\"g__Unclassified;s__Bacteroidetes bacterium GWF2_38_335\",\"g__Unclassified;s__Bacteroidetes bacterium GWF2_41_31\",\"g__Unclassified;s__Bacteroidetes bacterium OLB12\",\"g__Unclassified;s__Bacteroidetes bacterium OLB8\",\"g__Unclassified;s__Bacteroidetes bacterium OLB9\",\"g__Unclassified;s__Bacteroidetes bacterium RBG_13_43_22\",\"g__Unclassified;s__Bacteroidetes bacterium RBG_13_46_8\",\"g__Unclassified;s__Bacteroidetes bacterium RIFOXYA12_FULL_33_9\",\"g__Unclassified;s__Candidatus Aminicenantes bacterium RBG_16_63_16\",\"g__Unclassified;s__Candidatus Aminicenantes bacterium RBG_16_66_30\",\"g__Unclassified;s__Candidatus Aminicenantes bacterium RBG_19FT_COMBO_58_17\",\"g__Unclassified;s__Candidatus Aminicenantes bacterium RBG_19FT_COMBO_59_29\",\"g__Unclassified;s__Candidatus Atribacteria bacterium RBG_19FT_COMBO_35_14\",\"g__Unclassified;s__Candidatus Beckwithbacteria bacterium GW2011_GWA2_43_10\",\"g__Unclassified;s__Berkelbacteria bacterium GW2011_GWA2_35_9\",\"g__Unclassified;s__Candidatus Berkelbacteria bacterium RIFCSPHIGHO2_12_FULL_36_9\",\"g__Unclassified;s__Candidatus Buchananbacteria bacterium RIFCSPHIGHO2_01_FULL_47_11b\",\"g__Unclassified;s__Candidatus Chisholmbacteria bacterium RIFCSPLOWO2_01_FULL_49_14\",\"g__Candidatus Cloacimonas;s__Candidatus Cloacimonas acidaminovorans\",\"g__Candidatus Cloacimonas;s__Candidatus Cloacimonas sp. SDB\",\"g__Unclassified;s__Candidatus Collierbacteria bacterium RIFOXYD1_FULL_40_9\",\"g__Unclassified;s__Candidatus Curtissbacteria bacterium GW2011_GWA1_40_24\",\"g__Unclassified;s__Candidatus Dadabacteria bacterium CSP1-2\",\"g__Unclassified;s__Candidatus Daviesbacteria bacterium GW2011_GWA2_38_24\",\"g__Unclassified;s__Candidatus Daviesbacteria bacterium GW2011_GWB1_41_5\",\"g__Unclassified;s__Candidatus Doudnabacteria bacterium RIFCSPHIGHO2_02_FULL_46_11\",\"g__Unclassified;s__Candidatus Falkowbacteria bacterium RIFCSPLOWO2_02_FULL_45_21\",\"g__Unclassified;s__Candidatus Fraserbacteria bacterium RBG_16_55_9\",\"g__Unclassified;s__Candidatus Giovannonibacteria bacterium GW2011_GWA2_45_21\",\"g__Unclassified;s__Candidatus Giovannonibacteria bacterium GW2011_GWF2_42_19\",\"g__Unclassified;s__Candidatus Gottesmanbacteria bacterium GW2011_GWB1_49_7\",\"g__Unclassified;s__Candidatus Gottesmanbacteria bacterium GW2011_GWC2_39_8\",\"g__Unclassified;s__Candidatus Gottesmanbacteria bacterium RIFCSPHIGHO2_02_FULL_39_11\",\"g__Unclassified;s__Candidatus Kaiserbacteria bacterium RIFCSPHIGHO2_01_FULL_46_22\",\"g__Unclassified;s__Candidatus Kaiserbacteria bacterium RIFCSPHIGHO2_12_45_16\",\"g__Candidatus Kryptonium;s__Candidatus Kryptonium thompsoni\",\"g__Unclassified;s__Latescibacteria bacterium DG_63\",\"g__Unclassified;s__Candidatus Levybacteria bacterium RIFCSPHIGHO2_01_FULL_36_15\",\"g__Unclassified;s__Candidatus Liptonbacteria bacterium RIFCSPLOWO2_01_FULL_53_13\",\"g__Unclassified;s__Candidatus Lloydbacteria bacterium RIFCSPHIGHO2_02_FULL_50_13\",\"g__Unclassified;s__Candidatus Magasanikbacteria bacterium GW2011_GWA2_40_10\",\"g__Unclassified;s__Candidatus Magasanikbacteria bacterium GW2011_GWE2_42_7\",\"g__Unclassified;s__Candidatus Magasanikbacteria bacterium RIFCSPHIGHO2_02_FULL_33_17\",\"g__Unclassified;s__Candidatus Margulisbacteria bacterium GWF2_38_17\",\"g__Unclassified;s__Marinimicrobia bacterium 46_43\",\"g__Unclassified;s__Candidatus Moranbacteria bacterium GW2011_GWF2_35_39\",\"g__Unclassified;s__Candidatus Moranbacteria bacterium RIFCSPHIGHO2_02_FULL_40_12b\",\"g__Unclassified;s__Candidatus Moranbacteria bacterium RIFOXYA12_FULL_44_15\",\"g__Unclassified;s__Candidatus Nomurabacteria bacterium GW2011_GWA2_40_9\",\"g__Unclassified;s__Candidatus Nomurabacteria bacterium GW2011_GWA2_42_41\",\"g__Unclassified;s__Candidatus Nomurabacteria bacterium RIFCSPHIGHO2_02_FULL_38_15\",\"g__Unclassified;s__Candidatus Nomurabacteria bacterium RIFOXYC2_FULL_36_19\",\"g__Unclassified;s__Omnitrophica WOR_2 bacterium RBG_13_41_10\",\"g__Unclassified;s__Omnitrophica WOR_2 bacterium RIFCSPHIGHO2_02_FULL_48_11\",\"g__Unclassified;s__Omnitrophica bacterium GWA2_52_12\",\"g__Unclassified;s__Omnitrophica bacterium RBG_13_46_9\",\"g__Unclassified;s__Candidatus Pacebacteria bacterium GW2011_GWA1_46_10\",\"g__Unclassified;s__Parcubacteria bacterium DG_74_2\",\"g__Unclassified;s__Candidatus Peribacteria bacterium RIFCSPHIGHO2_01_FULL_49_38\",\"g__Unclassified;s__Candidatus Peregrinibacteria bacterium GW2011_GWC2_33_13\",\"g__Unclassified;s__Candidatus Peregrinibacteria bacterium RIFOXYB2_FULL_32_7\",\"g__Unclassified;s__Candidatus Roizmanbacteria bacterium RIFCSPHIGHO2_01_FULL_38_15\",\"g__Candidatus Saccharimonas;s__Candidatus Saccharimonas aalborgensis\",\"g__Unclassified;s__Candidatus Saccharibacteria bacterium RIFCSPHIGHO2_12_FULL_41_12\",\"g__Unclassified;s__Candidatus Schekmanbacteria bacterium RBG_13_48_7\",\"g__Unclassified;s__Candidatus Schekmanbacteria bacterium RBG_16_38_10\",\"g__Unclassified;s__Candidatus Schekmanbacteria bacterium RBG_16_38_11\",\"g__Unclassified;s__Candidatus Shapirobacteria bacterium GW2011_GWF2_37_20\",\"g__Unclassified;s__Candidatus Sungbacteria bacterium RIFCSPHIGHO2_02_FULL_52_23\",\"g__Candidatus Entotheonella;s__Candidatus Entotheonella sp. TSY1\",\"g__Unclassified;s__Candidatus Uhrbacteria bacterium GW2011_GWA2_52_8d\",\"g__Unclassified;s__Candidatus Uhrbacteria bacterium RIFCSPLOWO2_02_FULL_49_11\",\"g__Unclassified;s__Candidatus Woesebacteria bacterium GW2011_GWB1_39_12\",\"g__Unclassified;s__Candidatus Wolfebacteria bacterium GW2011_GWC2_39_22\",\"g__Unclassified;s__Candidatus Woykebacteria bacterium GWB1_45_5\",\"g__Unclassified;s__Candidatus Woykebacteria bacterium RBG_19FT_COMBO_43_10\",\"g__Unclassified;s__Candidatus Yanofskybacteria bacterium GW2011_GWE2_40_11\",\"g__Unclassified;s__Candidatus Yanofskybacteria bacterium RIFCSPHIGHO2_01_FULL_39_8b\",\"g__Chlamydia;s__Chlamydia sp. _Diamant_\",\"g__Criblamydia;s__Criblamydia sequanensis\",\"g__Parachlamydia;s__Parachlamydia acanthamoebae\",\"g__Unclassified;s__Parachlamydiaceae bacterium HS-T3\",\"g__Unclassified;s__Chlamydiae bacterium RIFCSPHIGHO2_12_FULL_27_8\",\"g__Chlorobaculum;s__Chlorobaculum limnaeum\",\"g__Chlorobaculum;s__Chlorobaculum parvum\",\"g__Chlorobaculum;s__Chlorobaculum tepidum\",\"g__Chlorobium;s__Chlorobium ferrooxidans\",\"g__Chlorobium;s__Chlorobium phaeobacteroides\",\"g__Chlorobium;s__Chlorobium sp. GBChlB\",\"g__Pelodictyon;s__Pelodictyon phaeoclathratiforme\",\"g__Unclassified;s__Chlorobi bacterium OLB4\",\"g__Bellilinea;s__Bellilinea caldifistulae\",\"g__Ornatilinea;s__Ornatilinea apprima\",\"g__Unclassified;s__Anaerolineae bacterium 49_20\",\"g__Unclassified;s__Anaerolineae bacterium SM23_84\",\"g__Ardenticatena;s__Ardenticatena maritima\",\"g__Caldilinea;s__Caldilinea aerophila\",\"g__Chloroflexus;s__Chloroflexus aggregans\",\"g__Chloroflexus;s__Chloroflexus sp. isl-2\",\"g__Roseiflexus;s__Roseiflexus castenholzii\",\"g__Herpetosiphon;s__Herpetosiphon geysericola\",\"g__Dehalogenimonas;s__Dehalogenimonas lykanthroporepellens\",\"g__Dehalogenimonas;s__Dehalogenimonas sp. WBC-2\",\"g__Unclassified;s__Dehalococcoidia bacterium DG_18\",\"g__Nitrolancea;s__Nitrolancea hollandica\",\"g__Thermorudis;s__Thermorudis peleae\",\"g__Unclassified;s__Chloroflexi bacterium RBG_13_52_14\",\"g__Unclassified;s__Chloroflexi bacterium RBG_13_54_8\",\"g__Unclassified;s__Chloroflexi bacterium RBG_13_56_8\",\"g__Unclassified;s__Chloroflexi bacterium RBG_13_57_8\",\"g__Unclassified;s__Chloroflexi bacterium RBG_16_48_8\",\"g__Unclassified;s__Chloroflexi bacterium RBG_16_50_9\",\"g__Unclassified;s__Chloroflexi bacterium RBG_16_51_9\",\"g__Unclassified;s__Chloroflexi bacterium RBG_16_52_11\",\"g__Unclassified;s__Chloroflexi bacterium RBG_16_57_11\",\"g__Unclassified;s__Chloroflexi bacterium RBG_16_57_8\",\"g__Unclassified;s__Chloroflexi bacterium RBG_16_58_8\",\"g__Unclassified;s__Chloroflexi bacterium RBG_16_60_22\",\"g__Unclassified;s__Chloroflexi bacterium RBG_19FT_COMBO_47_9\",\"g__Desulfurispirillum;s__Desulfurispirillum indicum\",\"g__Gloeobacter;s__Gloeobacter kilaueensis\",\"g__Candidatus Atelocyanobacterium;s__Candidatus Atelocyanobacterium thalassa\",\"g__Halothece;s__Halothece sp. PCC 7418\",\"g__Geminocystis;s__Geminocystis herdmanii\",\"g__Gloeocapsa;s__Gloeocapsa sp. PCC 73106\",\"g__Gloeocapsa;s__Gloeocapsa sp. PCC 7428\",\"g__Cyanobacterium;s__Cyanobacterium aponinum\",\"g__Cyanobacterium;s__Cyanobacterium sp. IPPAS B-1200\",\"g__Microcystis;s__Microcystis panniformis\",\"g__Aphanizomenon;s__Aphanizomenon flos-aquae\",\"g__Dolichospermum;s__Dolichospermum circinale\",\"g__Chlorogloeopsis;s__Chlorogloeopsis fritschii\",\"g__Fischerella;s__Fischerella muscicola\",\"g__Fischerella;s__Fischerella sp. PCC 9605\",\"g__Hapalosiphon;s__Hapalosiphon sp. MRB220\",\"g__Mastigocladus;s__Mastigocladus laminosus\",\"g__Anabaena;s__Anabaena cylindrica\",\"g__Anabaena;s__Anabaena sp. PCC 7108\",\"g__Anabaena;s__Anabaena sp. WA93\",\"g__Cylindrospermum;s__Cylindrospermum stagnale\",\"g__Nostoc;s__Nostoc piscinale\",\"g__Nostoc;s__Nostoc sp. KVJ20\",\"g__Nostoc;s__Nostoc sp. PCC 7107\",\"g__Nostoc;s__Nostoc sp. PCC 7120\",\"g__Calothrix;s__Calothrix parietina\",\"g__Calothrix;s__Calothrix sp. 336_3\",\"g__Calothrix;s__Calothrix sp. PCC 7103\",\"g__Scytonema;s__Scytonema hofmannii\",\"g__Scytonema;s__Scytonema millei\",\"g__Hassallia;s__Hassallia byssoidea\",\"g__Tolypothrix;s__Tolypothrix bouteillei\",\"g__Tolypothrix;s__Tolypothrix campylonemoides\",\"g__Coleofasciculus;s__Coleofasciculus chthonoplastes\",\"g__Cyanothece;s__Cyanothece sp. PCC 7424\",\"g__Cyanothece;s__Cyanothece sp. PCC 7425\",\"g__Crinalium;s__Crinalium epipsammum\",\"g__Microcoleus;s__Microcoleus sp. PCC 7113\",\"g__Microcoleus;s__Microcoleus vaginatus\",\"g__Planktothrix;s__Planktothrix agardhii\",\"g__Trichodesmium;s__Trichodesmium erythraeum\",\"g__Limnoraphis;s__Limnoraphis robusta\",\"g__Lyngbya;s__Lyngbya aestuarii\",\"g__Oscillatoria;s__Oscillatoria sp. PCC 10802\",\"g__Phormidium;s__Phormidium sp. OSCR\",\"g__Phormidium;s__Phormidium willei\",\"g__Unclassified;s__Oscillatoriales cyanobacterium JSC-12\",\"g__Unclassified;s__Oscillatoriales cyanobacterium USR001\",\"g__Stanieria;s__Stanieria cyanosphaera\",\"g__Stanieria;s__Stanieria sp. NIES-3757\",\"g__Pleurocapsa;s__Pleurocapsa sp. PCC 7319\",\"g__Spirulina;s__Spirulina subsalsa\",\"g__Acaryochloris;s__Acaryochloris sp. CCMEE 5410\",\"g__Chamaesiphon;s__Chamaesiphon minutus\",\"g__Leptolyngbya;s__Leptolyngbya sp. JSC-1\",\"g__Leptolyngbya;s__Leptolyngbya sp. NIES-3755\",\"g__Leptolyngbya;s__Leptolyngbya sp. PCC 7375\",\"g__Leptolyngbya;s__Leptolyngbya sp. PCC 7376\",\"g__Synechocystis;s__Synechocystis sp. PCC 6714\",\"g__Synechocystis;s__Synechocystis sp. PCC 7509\",\"g__Prochlorococcus;s__Prochlorococcus marinus\",\"g__Pseudanabaena;s__Pseudanabaena sp. PCC 7367\",\"g__Synechococcus;s__Synechococcus sp. PCC 6312\",\"g__Synechococcus;s__Synechococcus sp. PCC 7002\",\"g__Synechococcus;s__Synechococcus sp. PCC 7003\",\"g__Synechococcus;s__Synechococcus sp. PCC 7117\",\"g__Thermosynechococcus;s__Thermosynechococcus sp. NK55a\",\"g__Caldithrix;s__Caldithrix abyssi\",\"g__Deferribacter;s__Deferribacter desulfuricans\",\"g__Deinococcus;s__Deinococcus marmoris\",\"g__Deinococcus;s__Deinococcus peraridilitoris\",\"g__Deinococcus;s__Deinococcus pimensis\",\"g__Truepera;s__Truepera radiovictrix\",\"g__Marinithermus;s__Marinithermus hydrothermalis\",\"g__Meiothermus;s__Meiothermus rufus\",\"g__Oceanithermus;s__Oceanithermus profundus\",\"g__Thermus;s__Thermus filiformis\",\"g__Thermus;s__Thermus oshimai\",\"g__Thermus;s__Thermus sp. NMX2.A1\",\"g__Elusimicrobium;s__Elusimicrobium minutum\",\"g__Unclassified;s__Elusimicrobia bacterium GWA2_61_42\",\"g__Unclassified;s__Elusimicrobia bacterium GWC2_63_65\",\"g__Unclassified;s__Elusimicrobia bacterium RIFOXYA2_FULL_39_19\",\"g__Unclassified;s__Elusimicrobia bacterium RIFOXYA2_FULL_40_6\",\"g__Unclassified;s__Elusimicrobia bacterium RIFOXYA2_FULL_53_38\",\"g__Unclassified;s__Elusimicrobia bacterium RIFOXYA2_FULL_58_8\",\"g__Unclassified;s__Elusimicrobia bacterium RIFOXYD2_FULL_34_15\",\"g__Unclassified;s__uncultured Termite group 1 bacterium\",\"g__Chitinivibrio;s__Chitinivibrio alkaliphilus\",\"g__Alicyclobacillus;s__Alicyclobacillus acidiphilus\",\"g__Alicyclobacillus;s__Alicyclobacillus acidoterrestris\",\"g__Alicyclobacillus;s__Alicyclobacillus contaminans\",\"g__Alicyclobacillus;s__Alicyclobacillus hesperidum\",\"g__Alicyclobacillus;s__Alicyclobacillus pomorum\",\"g__Alicyclobacillus;s__Alicyclobacillus shizuokensis\",\"g__Alicyclobacillus;s__Alicyclobacillus sp. RIFOXYA1_FULL_53_8\",\"g__Anoxybacillus;s__Anoxybacillus ayderensis\",\"g__Anoxybacillus;s__Anoxybacillus sp. DT3-1\",\"g__Anoxybacillus;s__Anoxybacillus thermarum\",\"g__Bacillus;s__Bacillus alcalophilus\",\"g__Bacillus;s__Bacillus altitudinis\",\"g__Bacillus;s__Bacillus anthracis\",\"g__Bacillus;s__Bacillus aquimaris\",\"g__Bacillus;s__Bacillus aurantiacus\",\"g__Bacillus;s__Bacillus badius\",\"g__Bacillus;s__Bacillus butanolivorans\",\"g__Bacillus;s__Bacillus campisalis\",\"g__Bacillus;s__Bacillus chagannorensis\",\"g__Bacillus;s__Bacillus cibi\",\"g__Bacillus;s__Bacillus circulans\",\"g__Bacillus;s__Bacillus decisifrondis\",\"g__Bacillus;s__Bacillus drentensis\",\"g__Bacillus;s__Bacillus firmus\",\"g__Bacillus;s__Bacillus fordii\",\"g__Bacillus;s__Bacillus galactosidilyticus\",\"g__Bacillus;s__Bacillus ginsengihumi\",\"g__Bacillus;s__Bacillus glycinifermentans\",\"g__Bacillus;s__Bacillus gobiensis\",\"g__Bacillus;s__Bacillus hemicellulosilyticus\",\"g__Bacillus;s__Bacillus horneckiae\",\"g__Bacillus;s__Bacillus indicus\",\"g__Bacillus;s__Bacillus koreensis\",\"g__Bacillus;s__Bacillus kribbensis\",\"g__Bacillus;s__Bacillus lentus\",\"g__Bacillus;s__Bacillus ligniniphilus\",\"g__Bacillus;s__Bacillus luciferensis\",\"g__Bacillus;s__Bacillus manliponensis\",\"g__Bacillus;s__Bacillus marisflavi\",\"g__Bacillus;s__Bacillus marmarensis\",\"g__Bacillus;s__Bacillus massiliogorillae\",\"g__Bacillus;s__Bacillus mesonae\",\"g__Bacillus;s__Bacillus methanolicus\",\"g__Bacillus;s__Bacillus nakamurai\",\"g__Bacillus;s__Bacillus niacini\",\"g__Bacillus;s__Bacillus novalis\",\"g__Bacillus;s__Bacillus okuhidensis\",\"g__Bacillus;s__Bacillus oryziterrae\",\"g__Bacillus;s__Bacillus panaciterrae\",\"g__Bacillus;s__Bacillus persicus\",\"g__Bacillus;s__Bacillus plakortidis\",\"g__Bacillus;s__Bacillus pseudalcaliphilus\",\"g__Bacillus;s__Bacillus psychrosaccharolyticus\",\"g__Bacillus;s__Bacillus safensis\",\"g__Bacillus;s__Bacillus selenatarsenatis\",\"g__Bacillus;s__Bacillus sonorensis\",\"g__Bacillus;s__Bacillus sp. 166amftsu\",\"g__Bacillus;s__Bacillus sp. 1NLA3E\",\"g__Bacillus;s__Bacillus sp. 220_BSPC\",\"g__Bacillus;s__Bacillus sp. 2_A_57_CT2\",\"g__Bacillus;s__Bacillus sp. 522_BSPC\",\"g__Bacillus;s__Bacillus sp. 7_6_55CFAA_CT2\",\"g__Bacillus;s__Bacillus sp. FF3\",\"g__Bacillus;s__Bacillus sp. FJAT-14578\",\"g__Bacillus;s__Bacillus sp. FJAT-21351\",\"g__Bacillus;s__Bacillus sp. FJAT-27231\",\"g__Bacillus;s__Bacillus sp. FJAT-27251\",\"g__Bacillus;s__Bacillus sp. FJAT-27445\",\"g__Bacillus;s__Bacillus sp. FJAT-27986\",\"g__Bacillus;s__Bacillus sp. FJAT-27997\",\"g__Bacillus;s__Bacillus sp. H1a\",\"g__Bacillus;s__Bacillus sp. HMSC036E02\",\"g__Bacillus;s__Bacillus sp. HMSC76G11\",\"g__Bacillus;s__Bacillus sp. J33\",\"g__Bacillus;s__Bacillus sp. J37\",\"g__Bacillus;s__Bacillus sp. JCM 19034\",\"g__Bacillus;s__Bacillus sp. JCM 19041\",\"g__Bacillus;s__Bacillus sp. JCM 19046\",\"g__Bacillus;s__Bacillus sp. KCTC 13219\",\"g__Bacillus;s__Bacillus sp. Leaf13\",\"g__Bacillus;s__Bacillus sp. MKU004\",\"g__Bacillus;s__Bacillus sp. NC2-31\",\"g__Bacillus;s__Bacillus sp. NRRL B-14911\",\"g__Bacillus;s__Bacillus sp. NSP2.1\",\"g__Bacillus;s__Bacillus sp. NSP9.1\",\"g__Bacillus;s__Bacillus sp. RP1137\",\"g__Bacillus;s__Bacillus sp. SIT10\",\"g__Bacillus;s__Bacillus sp. SJS\",\"g__Bacillus;s__Bacillus sp. Soil768D1\",\"g__Bacillus;s__Bacillus sp. TS-2\",\"g__Bacillus;s__Bacillus sp. UNC322MFChir4.1\",\"g__Bacillus;s__Bacillus sp. UNC437CL72CviS29\",\"g__Bacillus;s__Bacillus sp. UNC438CL73TsuS30\",\"g__Bacillus;s__Bacillus sp. URHB0009\",\"g__Bacillus;s__Bacillus sporothermodurans\",\"g__Bacillus;s__Bacillus timonensis\",\"g__Bacillus;s__Bacillus vireti\",\"g__Bacillus;s__Bacillus weihenstephanensis\",\"g__Bacillus;s__Bacillus wiedmannii\",\"g__Caldalkalibacillus;s__Caldalkalibacillus thermarum\",\"g__Caldibacillus;s__Caldibacillus debilis\",\"g__Calditerricola;s__Calditerricola satsumensis\",\"g__Domibacillus;s__Domibacillus robiginosus\",\"g__Fictibacillus;s__Fictibacillus macauensis\",\"g__Fictibacillus;s__Fictibacillus phosphorivorans\",\"g__Fictibacillus;s__Fictibacillus solisalsi\",\"g__Geobacillus;s__Geobacillus icigianus\",\"g__Geobacillus;s__Geobacillus sp. 8\",\"g__Geobacillus;s__Geobacillus sp. JS12\",\"g__Geobacillus;s__Geobacillus sp. PA-3\",\"g__Geobacillus;s__Geobacillus sp. T6\",\"g__Geobacillus;s__Geobacillus sp. WSUCF1\",\"g__Geobacillus;s__Geobacillus thermodenitrificans\",\"g__Geobacillus;s__Geobacillus vulcani\",\"g__Gracilibacillus;s__Gracilibacillus halophilus\",\"g__Gracilibacillus;s__Gracilibacillus sp. Awa-1\",\"g__Gracilibacillus;s__Gracilibacillus ureilyticus\",\"g__Halobacillus;s__Halobacillus sp. BBL2006\",\"g__Lysinibacillus;s__Lysinibacillus boronitolerans\",\"g__Lysinibacillus;s__Lysinibacillus macroides\",\"g__Lysinibacillus;s__Lysinibacillus massiliensis\",\"g__Lysinibacillus;s__Lysinibacillus odysseyi\",\"g__Lysinibacillus;s__Lysinibacillus sp. 13S34_air\",\"g__Lysinibacillus;s__Lysinibacillus sp. LK3\",\"g__Lysinibacillus;s__Lysinibacillus varians\",\"g__Marinococcus;s__Marinococcus halotolerans\",\"g__Marinococcus;s__Marinococcus luteus\",\"g__Natribacillus;s__Natribacillus halophilus\",\"g__Oceanobacillus;s__Oceanobacillus caeni\",\"g__Oceanobacillus;s__Oceanobacillus limi\",\"g__Oceanobacillus;s__Oceanobacillus manasiensis\",\"g__Oceanobacillus;s__Oceanobacillus oncorhynchi\",\"g__Oceanobacillus;s__Oceanobacillus picturae\",\"g__Oceanobacillus;s__Oceanobacillus sp. S5\",\"g__Parageobacillus;s__Parageobacillus caldoxylosilyticus\",\"g__Parageobacillus;s__Parageobacillus genomosp. 1\",\"g__Parageobacillus;s__Parageobacillus thermoglucosidans\",\"g__Parageobacillus;s__Parageobacillus toebii\",\"g__Paucisalibacillus;s__Paucisalibacillus globulus\",\"g__Paucisalibacillus;s__Paucisalibacillus sp. EB02\",\"g__Pontibacillus;s__Pontibacillus chungwhensis\",\"g__Pontibacillus;s__Pontibacillus halophilus\",\"g__Pontibacillus;s__Pontibacillus litoralis\",\"g__Pontibacillus;s__Pontibacillus yanchengensis\",\"g__Psychrobacillus;s__Psychrobacillus sp. FJAT-21963\",\"g__Psychrobacillus;s__Psychrobacillus sp. OK028\",\"g__Psychrobacillus;s__Psychrobacillus sp. OK032\",\"g__Salimicrobium;s__Salimicrobium album\",\"g__Salimicrobium;s__Salimicrobium halophilum\",\"g__Salimicrobium;s__Salimicrobium jeotgali\",\"g__Salinibacillus;s__Salinibacillus kushneri\",\"g__Salipaludibacillus;s__Salipaludibacillus aurantiacus\",\"g__Sediminibacillus;s__Sediminibacillus halophilus\",\"g__Terribacillus;s__Terribacillus halophilus\",\"g__Terribacillus;s__Terribacillus saccharophilus\",\"g__Thalassobacillus;s__Thalassobacillus sp. C254\",\"g__Unclassified;s__Bacillaceae bacterium MTCC 8252\",\"g__Virgibacillus;s__Virgibacillus alimentarius\",\"g__Virgibacillus;s__Virgibacillus pantothenticus\",\"g__Virgibacillus;s__Virgibacillus soli\",\"g__Virgibacillus;s__Virgibacillus sp. Vm-5\",\"g__Thermicanus;s__Thermicanus aegyptius\",\"g__Listeria;s__Listeria aquatica\",\"g__Listeria;s__Listeria booriae\",\"g__Listeria;s__Listeria floridensis\",\"g__Listeria;s__Listeria grandensis\",\"g__Listeria;s__Listeria grayi\",\"g__Listeria;s__Listeria innocua\",\"g__Listeria;s__Listeria ivanovii\",\"g__Listeria;s__Listeria marthii\",\"g__Listeria;s__Listeria newyorkensis\",\"g__Listeria;s__Listeria seeligeri\",\"g__Aneurinibacillus;s__Aneurinibacillus soli\",\"g__Aneurinibacillus;s__Aneurinibacillus sp. XH2\",\"g__Aneurinibacillus;s__Aneurinibacillus terranovensis\",\"g__Aneurinibacillus;s__Aneurinibacillus tyrosinisolvens\",\"g__Brevibacillus;s__Brevibacillus borstelensis\",\"g__Brevibacillus;s__Brevibacillus sp. Leaf182\",\"g__Brevibacillus;s__Brevibacillus sp. SKDU10\",\"g__Cohnella;s__Cohnella sp. VKM B-2846\",\"g__Paenibacillus;s__Paenibacillus amylolyticus\",\"g__Paenibacillus;s__Paenibacillus assamensis\",\"g__Paenibacillus;s__Paenibacillus borealis\",\"g__Paenibacillus;s__Paenibacillus chitinolyticus\",\"g__Paenibacillus;s__Paenibacillus curdlanolyticus\",\"g__Paenibacillus;s__Paenibacillus dauci\",\"g__Paenibacillus;s__Paenibacillus ehimensis\",\"g__Paenibacillus;s__Paenibacillus forsythiae\",\"g__Paenibacillus;s__Paenibacillus graminis\",\"g__Paenibacillus;s__Paenibacillus jilunlii\",\"g__Paenibacillus;s__Paenibacillus kribbensis\",\"g__Paenibacillus;s__Paenibacillus lactis\",\"g__Paenibacillus;s__Paenibacillus larvae\",\"g__Paenibacillus;s__Paenibacillus odorifer\",\"g__Paenibacillus;s__Paenibacillus pabuli\",\"g__Paenibacillus;s__Paenibacillus sp. 1-18\",\"g__Paenibacillus;s__Paenibacillus sp. 1-49\",\"g__Paenibacillus;s__Paenibacillus sp. 276b\",\"g__Paenibacillus;s__Paenibacillus sp. A59\",\"g__Paenibacillus;s__Paenibacillus sp. Aloe-11\",\"g__Paenibacillus;s__Paenibacillus sp. BL9\",\"g__Paenibacillus;s__Paenibacillus sp. D9\",\"g__Paenibacillus;s__Paenibacillus sp. DMB5\",\"g__Paenibacillus;s__Paenibacillus sp. FJAT-26967\",\"g__Paenibacillus;s__Paenibacillus sp. FJAT-27812\",\"g__Paenibacillus;s__Paenibacillus sp. FSL R5-0345\",\"g__Paenibacillus;s__Paenibacillus sp. FSL R5-0912\",\"g__Paenibacillus;s__Paenibacillus sp. FSL R5-192\",\"g__Paenibacillus;s__Paenibacillus sp. FSL R7-269\",\"g__Paenibacillus;s__Paenibacillus sp. FSL R7-277\",\"g__Paenibacillus;s__Paenibacillus sp. GD6\",\"g__Paenibacillus;s__Paenibacillus sp. IHB B 3084\",\"g__Paenibacillus;s__Paenibacillus sp. IHBB 10380\",\"g__Paenibacillus;s__Paenibacillus sp. KS1\",\"g__Paenibacillus;s__Paenibacillus sp. MT18\",\"g__Paenibacillus;s__Paenibacillus sp. NAIST15-1\",\"g__Paenibacillus;s__Paenibacillus sp. O199\",\"g__Paenibacillus;s__Paenibacillus sp. OK003\",\"g__Paenibacillus;s__Paenibacillus sp. OSY-SE\",\"g__Paenibacillus;s__Paenibacillus sp. Root444D2\",\"g__Paenibacillus;s__Paenibacillus sp. Root52\",\"g__Paenibacillus;s__Paenibacillus sp. Soil724D2\",\"g__Paenibacillus;s__Paenibacillus sp. UNCCL52\",\"g__Paenibacillus;s__Paenibacillus sp. yr247\",\"g__Paenibacillus;s__Paenibacillus typhae\",\"g__Paenibacillus;s__Paenibacillus tyrfis\",\"g__Saccharibacillus;s__Saccharibacillus sacchari\",\"g__Unclassified;s__Paenibacillaceae bacterium GAS479\",\"g__Bhargavaea;s__Bhargavaea beijingensis\",\"g__Caryophanon;s__Caryophanon latum\",\"g__Jeotgalibacillus;s__Jeotgalibacillus campisalis\",\"g__Kurthia;s__Kurthia massiliensis\",\"g__Kurthia;s__Kurthia sp. 11kri321\",\"g__Kurthia;s__Kurthia sp. Dielmo\",\"g__Paenisporosarcina;s__Paenisporosarcina sp. HGH0030\",\"g__Paenisporosarcina;s__Paenisporosarcina sp. TG20\",\"g__Planococcus;s__Planococcus antarcticus\",\"g__Planococcus;s__Planococcus donghaensis\",\"g__Planococcus;s__Planococcus maritimus\",\"g__Planococcus;s__Planococcus rifietoensis\",\"g__Planococcus;s__Planococcus sp. L10.15\",\"g__Planomicrobium;s__Planomicrobium sp. ES2\",\"g__Rummeliibacillus;s__Rummeliibacillus stabekisii\",\"g__Sporosarcina;s__Sporosarcina sp. D27\",\"g__Sporosarcina;s__Sporosarcina sp. HYO08\",\"g__Sporosarcina;s__Sporosarcina sp. ZBG7A\",\"g__Unclassified;s__[Bacillus] aminovorans\",\"g__Ureibacillus;s__Ureibacillus thermosphaericus\",\"g__Sporolactobacillus;s__Sporolactobacillus terrae\",\"g__Tuberibacillus;s__Tuberibacillus calidus\",\"g__Jeotgalicoccus;s__Jeotgalicoccus psychrophilus\",\"g__Jeotgalicoccus;s__Jeotgalicoccus sp. 13MG44_air\",\"g__Salinicoccus;s__Salinicoccus luteus\",\"g__Salinicoccus;s__Salinicoccus sp. YB14-2\",\"g__Staphylococcus;s__Staphylococcus epidermidis\",\"g__Staphylococcus;s__Staphylococcus equorum\",\"g__Staphylococcus;s__Staphylococcus haemolyticus\",\"g__Staphylococcus;s__Staphylococcus hominis\",\"g__Staphylococcus;s__Staphylococcus hyicus\",\"g__Staphylococcus;s__Staphylococcus intermedius\",\"g__Staphylococcus;s__Staphylococcus pasteuri\",\"g__Staphylococcus;s__Staphylococcus sciuri\",\"g__Staphylococcus;s__Staphylococcus sp. DORA_6_22\",\"g__Staphylococcus;s__Staphylococcus sp. HMSC077B09\",\"g__Desmospora;s__Desmospora sp. 8437\",\"g__Melghirimyces;s__Melghirimyces thermohalophilus\",\"g__Risungbinella;s__Risungbinella massiliensis\",\"g__Shimazuella;s__Shimazuella kribbensis\",\"g__Thermoactinomyces;s__Thermoactinomyces sp. DSM 45892\",\"g__Acidibacillus;s__Acidibacillus ferrooxidans\",\"g__Exiguobacterium;s__Exiguobacterium aurantiacum\",\"g__Exiguobacterium;s__Exiguobacterium oxidotolerans\",\"g__Exiguobacterium;s__Exiguobacterium pavilionensis\",\"g__Exiguobacterium;s__Exiguobacterium sp. BMC-KP\",\"g__Exiguobacterium;s__Exiguobacterium sp. NG55\",\"g__Exiguobacterium;s__Exiguobacterium sp. S17\",\"g__Exiguobacterium;s__Exiguobacterium sp. S3-2\",\"g__Exiguobacterium;s__Exiguobacterium sp. ZOR0005\",\"g__Gemella;s__Gemella bergeri\",\"g__Gemella;s__Gemella morbillorum\",\"g__Unclassified;s__Geomicrobium sp. JCM 19037\",\"g__Unclassified;s__Geomicrobium sp. JCM 19055\",\"g__Aerococcus;s__Aerococcus sp. HMSC062B07\",\"g__Aerococcus;s__Aerococcus urinaeequi\",\"g__Aerococcus;s__Aerococcus viridans\",\"g__Eremococcus;s__Eremococcus coleocola\",\"g__Facklamia;s__Facklamia hominis\",\"g__Facklamia;s__Facklamia languida\",\"g__Facklamia;s__Facklamia miroungae\",\"g__Facklamia;s__Facklamia sp. HMSC062C11\",\"g__Globicatella;s__Globicatella sanguinis\",\"g__Globicatella;s__Globicatella sp. HMSC072A10\",\"g__Ignavigranum;s__Ignavigranum ruoffiae\",\"g__Alkalibacterium;s__Alkalibacterium putridalgicola\",\"g__Alkalibacterium;s__Alkalibacterium sp. AK22\",\"g__Alloiococcus;s__Alloiococcus otitis\",\"g__Carnobacterium;s__Carnobacterium maltaromaticum\",\"g__Carnobacterium;s__Carnobacterium pleistocenium\",\"g__Carnobacterium;s__Carnobacterium sp. 17-4\",\"g__Carnobacterium;s__Carnobacterium sp. CP1\",\"g__Carnobacterium;s__Carnobacterium sp. ZWU0011\",\"g__Granulicatella;s__Granulicatella sp. HMSC30F09\",\"g__Isobaculum;s__Isobaculum melis\",\"g__Jeotgalibaca;s__Jeotgalibaca dankookensis\",\"g__Lacticigenium;s__Lacticigenium naphtae\",\"g__Marinilactibacillus;s__Marinilactibacillus psychrotolerans\",\"g__Trichococcus;s__Trichococcus flocculiformis\",\"g__Trichococcus;s__Trichococcus sp. ES5\",\"g__Bavariicoccus;s__Bavariicoccus seileri\",\"g__Catellicoccus;s__Catellicoccus marimammalium\",\"g__Enterococcus;s__Enterococcus asini\",\"g__Enterococcus;s__Enterococcus caccae\",\"g__Enterococcus;s__Enterococcus canis\",\"g__Enterococcus;s__Enterococcus dispar\",\"g__Enterococcus;s__Enterococcus durans\",\"g__Enterococcus;s__Enterococcus gallinarum\",\"g__Enterococcus;s__Enterococcus gilvus\",\"g__Enterococcus;s__Enterococcus hirae\",\"g__Enterococcus;s__Enterococcus italicus\",\"g__Enterococcus;s__Enterococcus malodoratus\",\"g__Enterococcus;s__Enterococcus moraviensis\",\"g__Enterococcus;s__Enterococcus plantarum\",\"g__Enterococcus;s__Enterococcus pseudoavium\",\"g__Enterococcus;s__Enterococcus quebecensis\",\"g__Enterococcus;s__Enterococcus rivorum\",\"g__Enterococcus;s__Enterococcus sp. 7L76\",\"g__Enterococcus;s__Enterococcus sp. C1\",\"g__Enterococcus;s__Enterococcus sp. HMSC064A12\",\"g__Enterococcus;s__Enterococcus sp. HMSC067C01\",\"g__Enterococcus;s__Enterococcus sp. HMSC072F02\",\"g__Enterococcus;s__Enterococcus sp. HMSC29A04\",\"g__Enterococcus;s__Enterococcus sp. kppr-6\",\"g__Enterococcus;s__Enterococcus villorum\",\"g__Melissococcus;s__Melissococcus plutonius\",\"g__Tetragenococcus;s__Tetragenococcus muriaticus\",\"g__Tetragenococcus;s__Tetragenococcus solitarius\",\"g__Vagococcus;s__Vagococcus lutrae\",\"g__Lactobacillus;s__Lactobacillus agilis\",\"g__Lactobacillus;s__Lactobacillus alimentarius\",\"g__Lactobacillus;s__Lactobacillus amylovorus CAG:719\",\"g__Lactobacillus;s__Lactobacillus animalis\",\"g__Lactobacillus;s__Lactobacillus antri\",\"g__Lactobacillus;s__Lactobacillus apis\",\"g__Lactobacillus;s__Lactobacillus backii\",\"g__Lactobacillus;s__Lactobacillus brevis\",\"g__Lactobacillus;s__Lactobacillus casei\",\"g__Lactobacillus;s__Lactobacillus curvatus\",\"g__Lactobacillus;s__Lactobacillus equicursoris\",\"g__Lactobacillus;s__Lactobacillus farciminis\",\"g__Lactobacillus;s__Lactobacillus farraginis\",\"g__Lactobacillus;s__Lactobacillus gastricus\",\"g__Lactobacillus;s__Lactobacillus hayakitensis\",\"g__Lactobacillus;s__Lactobacillus hominis\",\"g__Lactobacillus;s__Lactobacillus intestinalis\",\"g__Lactobacillus;s__Lactobacillus jensenii\",\"g__Lactobacillus;s__Lactobacillus kefiranofaciens\",\"g__Lactobacillus;s__Lactobacillus kisonensis\",\"g__Lactobacillus;s__Lactobacillus koreensis\",\"g__Lactobacillus;s__Lactobacillus kunkeei\",\"g__Lactobacillus;s__Lactobacillus mali\",\"g__Lactobacillus;s__Lactobacillus melliventris\",\"g__Lactobacillus;s__Lactobacillus murinus\",\"g__Lactobacillus;s__Lactobacillus nantensis\",\"g__Lactobacillus;s__Lactobacillus odoratitofui\",\"g__Lactobacillus;s__Lactobacillus oryzae\",\"g__Lactobacillus;s__Lactobacillus parabrevis\",\"g__Lactobacillus;s__Lactobacillus parabuchneri\",\"g__Lactobacillus;s__Lactobacillus parafarraginis\",\"g__Lactobacillus;s__Lactobacillus pentosus\",\"g__Lactobacillus;s__Lactobacillus rapi\",\"g__Lactobacillus;s__Lactobacillus rennini\",\"g__Lactobacillus;s__Lactobacillus satsumensis\",\"g__Lactobacillus;s__Lactobacillus sharpeae\",\"g__Lactobacillus;s__Lactobacillus shenzhenensis\",\"g__Lactobacillus;s__Lactobacillus sp. HMSC068B07\",\"g__Lactobacillus;s__Lactobacillus sp. HMSC24D01\",\"g__Lactobacillus;s__Lactobacillus sp. wkB10\",\"g__Lactobacillus;s__Lactobacillus spicheri\",\"g__Lactobacillus;s__Lactobacillus sucicola\",\"g__Lactobacillus;s__Lactobacillus tucceti\",\"g__Lactobacillus;s__Lactobacillus ultunensis\",\"g__Lactobacillus;s__Lactobacillus vaccinostercus\",\"g__Lactobacillus;s__Lactobacillus vaginalis\",\"g__Lactobacillus;s__Lactobacillus vini\",\"g__Pediococcus;s__Pediococcus damnosus\",\"g__Leuconostoc;s__Leuconostoc lactis\",\"g__Leuconostoc;s__Leuconostoc pseudomesenteroides\",\"g__Oenococcus;s__Oenococcus oeni\",\"g__Weissella;s__Weissella bombi\",\"g__Weissella;s__Weissella cibaria\",\"g__Lactococcus;s__Lactococcus piscium\",\"g__Lactococcus;s__Lactococcus plantarum\",\"g__Streptococcus;s__Streptococcus anginosus\",\"g__Streptococcus;s__Streptococcus canis\",\"g__Streptococcus;s__Streptococcus castoreus\",\"g__Streptococcus;s__Streptococcus criceti\",\"g__Streptococcus;s__Streptococcus cristatus\",\"g__Streptococcus;s__Streptococcus dentasini\",\"g__Streptococcus;s__Streptococcus devriesei\",\"g__Streptococcus;s__Streptococcus downei\",\"g__Streptococcus;s__Streptococcus himalayensis\",\"g__Streptococcus;s__Streptococcus hyovaginalis\",\"g__Streptococcus;s__Streptococcus infantarius\",\"g__Streptococcus;s__Streptococcus infantis\",\"g__Streptococcus;s__Streptococcus iniae\",\"g__Streptococcus;s__Streptococcus macedonicus\",\"g__Streptococcus;s__Streptococcus minor\",\"g__Streptococcus;s__Streptococcus ovis\",\"g__Streptococcus;s__Streptococcus pantholopis\",\"g__Streptococcus;s__Streptococcus plurextorum\",\"g__Streptococcus;s__Streptococcus salivarius CAG:79\",\"g__Streptococcus;s__Streptococcus sinensis\",\"g__Streptococcus;s__Streptococcus sp. 1171_SSPC\",\"g__Streptococcus;s__Streptococcus sp. 263_SSPC\",\"g__Streptococcus;s__Streptococcus sp. 343_SSPC\",\"g__Streptococcus;s__Streptococcus sp. 400_SSPC\",\"g__Streptococcus;s__Streptococcus sp. AS14\",\"g__Streptococcus;s__Streptococcus sp. C150\",\"g__Streptococcus;s__Streptococcus sp. CCUG 49591\",\"g__Streptococcus;s__Streptococcus sp. DD13\",\"g__Streptococcus;s__Streptococcus sp. DF1\",\"g__Streptococcus;s__Streptococcus sp. HMSC034A12\",\"g__Streptococcus;s__Streptococcus sp. HMSC034E03\",\"g__Streptococcus;s__Streptococcus sp. HMSC062D07\",\"g__Streptococcus;s__Streptococcus sp. HMSC068F04\",\"g__Streptococcus;s__Streptococcus sp. HMSC072C09\",\"g__Streptococcus;s__Streptococcus sp. HMSC072D03\",\"g__Streptococcus;s__Streptococcus sp. HMSC074F05\",\"g__Streptococcus;s__Streptococcus sp. HSISB1\",\"g__Streptococcus;s__Streptococcus sp. HSISM1\",\"g__Streptococcus;s__Streptococcus sp. HSISS1\",\"g__Streptococcus;s__Streptococcus sp. SK643\",\"g__Unclassified;s__Bacilli bacterium VT-13-104\",\"g__Caloramator;s__Caloramator fervidus\",\"g__Candidatus Arthromitus;s__Candidatus Arthromitus sp. SFB-mouse\",\"g__Candidatus Arthromitus;s__Candidatus Arthromitus sp. SFB-mouse-NL\",\"g__Candidatus Arthromitus;s__Candidatus Arthromitus sp. SFB-rat-Yit\",\"g__Clostridium;s__Clostridium sp. CAG:306\",\"g__Clostridium;s__Clostridium sp. CAG:768\",\"g__Clostridium;s__Clostridium sp. CAG:813\",\"g__Clostridium;s__Clostridium sp. HMSC19B11\",\"g__Clostridium;s__Clostridium sp. mt5\",\"g__Thermaerobacter;s__Thermaerobacter subterraneus\",\"g__Anaerocolumna;s__Anaerocolumna aminovalerica\",\"g__Unclassified;s__Lachnospiraceae bacterium VE202-12\",\"g__Dehalobacter;s__Dehalobacter sp. CF\",\"g__Dehalobacter;s__Dehalobacter sp. DCA\",\"g__Dehalobacter;s__Dehalobacter sp. E1\",\"g__Desulfotomaculum;s__Desulfotomaculum hydrothermale\",\"g__Desulfotomaculum;s__Desulfotomaculum sp. 46_80\",\"g__Thermincola;s__Thermincola ferriacetica\",\"g__Thermincola;s__Thermincola potens\",\"g__Unclassified;s__Peptococcaceae bacterium BRH_c23\",\"g__Unclassified;s__Peptococcaceae bacterium SCADC1_2_3\",\"g__Peptostreptococcus;s__Peptostreptococcus anaerobius CAG:621\",\"g__Unclassified;s__Clostridiales bacterium KA00134\",\"g__Unclassified;s__Thermoanaerobacter cellulolyticus\",\"g__Halanaerobium;s__Halanaerobium sp. MDAL1\",\"g__Halothermothrix;s__Halothermothrix orenii\",\"g__Acetohalobium;s__Acetohalobium arabaticum\",\"g__Fuchsiella;s__Fuchsiella alkaliacetigena\",\"g__Halobacteroides;s__Halobacteroides halobius\",\"g__Unclassified;s__Halobacteroidaceae bacterium T328-2\",\"g__Ammonifex;s__Ammonifex degensii\",\"g__Carboxydothermus;s__Carboxydothermus ferrireducens\",\"g__Carboxydothermus;s__Carboxydothermus hydrogenoformans\",\"g__Fervidicola;s__Fervidicola ferrireducens\",\"g__Moorella;s__uncultured Moorella sp.\",\"g__Thermacetogenium;s__Thermacetogenium phaeum\",\"g__Thermoanaerobacter;s__Thermoanaerobacter kivui\",\"g__Thermoanaerobacter;s__Thermoanaerobacter siderophilus\",\"g__Thermoanaerobacter;s__Thermoanaerobacter sp. YS13\",\"g__Thermoanaerobacter;s__Thermoanaerobacter thermocopriae\",\"g__Thermoanaerobacter;s__Thermoanaerobacter wiegelii\",\"g__Caldicellulosiruptor;s__Caldicellulosiruptor bescii\",\"g__Caldicellulosiruptor;s__Caldicellulosiruptor kristjanssonii\",\"g__Caldicellulosiruptor;s__Caldicellulosiruptor obsidiansis\",\"g__Caldicellulosiruptor;s__Caldicellulosiruptor sp. F32\",\"g__Thermoanaerobacterium;s__Thermoanaerobacterium xylanolyticum\",\"g__Thermosediminibacter;s__Thermosediminibacter oceani\",\"g__Coprothermobacter;s__Coprothermobacter proteolyticus\",\"g__Thermodesulfobium;s__Thermodesulfobium narugense\",\"g__Unclassified;s__Clostridia bacterium 41_269\",\"g__Unclassified;s__Clostridia bacterium 62_21\",\"g__Coprobacillus;s__Coprobacillus sp. CAG:183\",\"g__Erysipelothrix;s__Erysipelothrix rhusiopathiae\",\"g__Limnochorda;s__Limnochorda pilosa\",\"g__Negativicoccus;s__Negativicoccus succinicivorans\",\"g__Unclassified;s__Veillonellaceae bacterium KA00182\",\"g__Veillonella;s__Veillonella sp. DNF00869\",\"g__Anaerococcus;s__Anaerococcus sp. SB3\",\"g__Anaerococcus;s__Anaerococcus vaginalis\",\"g__Helcococcus;s__Helcococcus kunzii\",\"g__Parvimonas;s__Parvimonas sp. KA00067\",\"g__Parvimonas;s__Parvimonas sp. oral taxon 393\",\"g__Peptoniphilus;s__Peptoniphilus coxii\",\"g__Peptoniphilus;s__Peptoniphilus harei\",\"g__Peptoniphilus;s__Peptoniphilus indolicus\",\"g__Peptoniphilus;s__Peptoniphilus obesi\",\"g__Peptoniphilus;s__Peptoniphilus sp. BV3AC2\",\"g__Peptoniphilus;s__Peptoniphilus sp. ChDC B134\",\"g__Peptoniphilus;s__Peptoniphilus sp. ING2-D1G\",\"g__Peptoniphilus;s__Peptoniphilus sp. KHD4\",\"g__Peptoniphilus;s__Peptoniphilus sp. oral taxon 375\",\"g__Peptoniphilus;s__Peptoniphilus sp. oral taxon 386\",\"g__Peptoniphilus;s__Peptoniphilus timonensis\",\"g__Unclassified;s__Tissierellia bacterium GD9\",\"g__Unclassified;s__Firmicutes bacterium GWE2_51_13\",\"g__Unclassified;s__Firmicutes bacterium GWF2_51_9\",\"g__Unclassified;s__endosymbiont _TC1_ of Trimyema compressum\",\"g__Fusobacterium;s__Fusobacterium sp. CAG:649\",\"g__Fusobacterium;s__Fusobacterium sp. CM1\",\"g__Fusobacterium;s__Fusobacterium sp. CM21\",\"g__Fusobacterium;s__Fusobacterium sp. HMSC064B11\",\"g__Fusobacterium;s__Fusobacterium sp. HMSC064B12\",\"g__Fusobacterium;s__Fusobacterium sp. HMSC065F01\",\"g__Fusobacterium;s__Fusobacterium sp. oral taxon 370\",\"g__Leptotrichia;s__Leptotrichia hofstadii\",\"g__Leptotrichia;s__Leptotrichia sp. oral taxon 215\",\"g__Leptotrichia;s__Leptotrichia sp. oral taxon 225\",\"g__Leptotrichia;s__Leptotrichia sp. oral taxon 879\",\"g__Oceanivirga;s__Oceanivirga salmonicida\",\"g__Sneathia;s__Sneathia amnii\",\"g__Streptobacillus;s__Streptobacillus felis\",\"g__Gemmatimonas;s__Gemmatimonas aurantiaca\",\"g__Ignavibacterium;s__Ignavibacterium album\",\"g__Unclassified;s__Ignavibacteria bacterium GWB2_35_6b\",\"g__Unclassified;s__Ignavibacteria bacterium RBG_13_36_8\",\"g__Nitrospina;s__Nitrospina sp. SCGC_AAA799_A02\",\"g__Unclassified;s__Nitrospinae bacterium RIFCSPLOWO2_12_39_15\",\"g__Unclassified;s__Nitrospinae bacterium RIFCSPLOWO2_12_FULL_45_22\",\"g__Candidatus Magnetobacterium;s__Candidatus Magnetobacterium bavaricum\",\"g__Candidatus Magnetoovum;s__Candidatus Magnetoovum chiemensis\",\"g__Nitrospira;s__Nitrospira defluvii\",\"g__Nitrospira;s__Nitrospira moscoviensis\",\"g__Thermodesulfovibrio;s__Thermodesulfovibrio sp. N1\",\"g__Thermodesulfovibrio;s__Thermodesulfovibrio sp. RBG_19FT_COMBO_41_18\",\"g__Thermodesulfovibrio;s__Thermodesulfovibrio sp. RBG_19FT_COMBO_42_12\",\"g__Unclassified;s__Nitrospira bacterium SG8_3\",\"g__Unclassified;s__Nitrospira bacterium SG8_35_1\",\"g__Unclassified;s__Nitrospirae bacterium HCH-1\",\"g__Unclassified;s__Nitrospirae bacterium RBG_16_64_22\",\"g__Unclassified;s__Nitrospirae bacterium RBG_19FT_COMBO_42_15\",\"g__Unclassified;s__Nitrospirae bacterium RIFCSPLOWO2_02_FULL_62_14\",\"g__Unclassified;s__Phycisphaerae bacterium SM23_30\",\"g__Candidatus Brocadia;s__Candidatus Brocadia fulgida\",\"g__Candidatus Brocadia;s__Candidatus Brocadia sinica\",\"g__Candidatus Brocadia;s__Candidatus Brocadia sp. 40\",\"g__Candidatus Kuenenia;s__Candidatus Kuenenia stuttgartiensis\",\"g__Candidatus Scalindua;s__Candidatus Scalindua brodae\",\"g__Candidatus Scalindua;s__Candidatus Scalindua sp. BSI-1\",\"g__Zavarzinella;s__Zavarzinella formosa\",\"g__Rhodopirellula;s__Rhodopirellula baltica\",\"g__Rhodopirellula;s__Rhodopirellula europaea\",\"g__Rhodopirellula;s__Rhodopirellula islandica\",\"g__Rhodopirellula;s__Rhodopirellula maiorica\",\"g__Schlesneria;s__Schlesneria paludicola\",\"g__Unclassified;s__uncultured planctomycete\",\"g__Unclassified;s__Planctomycetes bacterium DG_23\",\"g__Unclassified;s__Planctomycetes bacterium GWC2_49_10\",\"g__Unclassified;s__Planctomycetes bacterium GWF2_39_10\",\"g__Unclassified;s__Planctomycetes bacterium RBG_13_60_9\",\"g__Unclassified;s__Planctomycetes bacterium RBG_16_41_13\",\"g__Unclassified;s__Planctomycetes bacterium RIFCSPHIGHO2_12_42_15\",\"g__Unclassified;s__Planctomycetes bacterium RIFCSPLOWO2_12_38_17\",\"g__Unclassified;s__Planctomycetes bacterium RIFCSPLOWO2_12_FULL_39_13\",\"g__Unclassified;s__Planctomycetes bacterium SM23_25\",\"g__Acidithiobacillus;s__Acidithiobacillus caldus\",\"g__Acidithiobacillus;s__Acidithiobacillus ferrivorans\",\"g__Acidithiobacillus;s__Acidithiobacillus thiooxidans\",\"g__Unclassified;s__Acidithiobacillales bacterium SM1_46\",\"g__Brevundimonas;s__Brevundimonas abyssalis\",\"g__Brevundimonas;s__Brevundimonas sp. BAL3\",\"g__Caulobacter;s__Caulobacter henricii\",\"g__Caulobacter;s__uncultured Caulobacter sp.\",\"g__Kiloniella;s__Kiloniella laminariae\",\"g__Kordiimonas;s__Kordiimonas gwangyangensis\",\"g__Candidatus Pelagibacter;s__Candidatus Pelagibacter sp. IMCC9063\",\"g__Aureimonas;s__Aureimonas sp. AU12\",\"g__Aureimonas;s__Aureimonas sp. AU40\",\"g__Aureimonas;s__Aureimonas sp. N4\",\"g__Bartonella;s__Bartonella rattaustraliani\",\"g__Bartonella;s__Bartonella taylorii\",\"g__Methylocapsa;s__Methylocapsa aurea\",\"g__Bosea;s__Bosea sp. BIWAKO-01\",\"g__Bosea;s__Bosea sp. LC85\",\"g__Bosea;s__Bosea sp. RAC05\",\"g__Bosea;s__Bosea sp. UNC402CLCol\",\"g__Bosea;s__Bosea vaviloviae\",\"g__Bradyrhizobium;s__Bradyrhizobium oligotrophicum\",\"g__Bradyrhizobium;s__Bradyrhizobium sp. R5\",\"g__Bradyrhizobium;s__Bradyrhizobium sp. STM 3843\",\"g__Bradyrhizobium;s__Bradyrhizobium sp. WSM1417\",\"g__Nitrobacter;s__Nitrobacter hamburgensis\",\"g__Nitrobacter;s__Nitrobacter sp. Nb-311A\",\"g__Devosia;s__Devosia limi\",\"g__Devosia;s__Devosia riboflavina\",\"g__Devosia;s__Devosia sp. LC5\",\"g__Devosia;s__Devosia sp. Root635\",\"g__Devosia;s__Devosia sp. Root685\",\"g__Pelagibacterium;s__Pelagibacterium sp. SCN 63-23\",\"g__Prosthecomicrobium;s__Prosthecomicrobium hirschii\",\"g__Rhodoplanes;s__Rhodoplanes sp. Z2-YC6860\",\"g__Methylobacterium;s__Methylobacterium sp. 285MFTsu5.1\",\"g__Methylobacterium;s__Methylobacterium sp. Leaf361\",\"g__Methylobacterium;s__Methylobacterium sp. Leaf456\",\"g__Methylobacterium;s__Methylobacterium sp. Leaf469\",\"g__Methylobacterium;s__Methylobacterium sp. SCN 67-24\",\"g__Methylobacterium;s__Methylobacterium sp. UNC378MF\",\"g__Methylobacterium;s__Methylobacterium variabile\",\"g__Microvirga;s__Microvirga sp. BSC39\",\"g__Microvirga;s__Microvirga sp. JC119\",\"g__Methylocystis;s__Methylocystis parvus\",\"g__Terasakiella;s__Terasakiella pusilla\",\"g__Terasakiella;s__Terasakiella sp. PR1\",\"g__Aliihoeflea;s__Aliihoeflea sp. 2WW\",\"g__Mesorhizobium;s__Mesorhizobium loti\",\"g__Mesorhizobium;s__Mesorhizobium sp. 1M-11\",\"g__Mesorhizobium;s__Mesorhizobium sp. F7\",\"g__Mesorhizobium;s__Mesorhizobium sp. LNHC221B00\",\"g__Mesorhizobium;s__Mesorhizobium sp. LNJC399B00\",\"g__Mesorhizobium;s__Mesorhizobium sp. LSHC420B00\",\"g__Mesorhizobium;s__Mesorhizobium sp. LSJC268A00\",\"g__Mesorhizobium;s__Mesorhizobium sp. SCN 65-12\",\"g__Mesorhizobium;s__Mesorhizobium sp. WSM1497\",\"g__Phyllobacterium;s__Phyllobacterium sp. YR531\",\"g__Agrobacterium;s__Agrobacterium rhizogenes\",\"g__Agrobacterium;s__Agrobacterium sp. SUL3\",\"g__Agrobacterium;s__Agrobacterium vitis\",\"g__Candidatus Liberibacter;s__Candidatus Liberibacter solanacearum\",\"g__Ensifer;s__Ensifer sp. LCM 4579\",\"g__Kaistia;s__Kaistia sp. SCN 65-12\",\"g__Rhizobium;s__Rhizobium ecuadorense\",\"g__Rhizobium;s__Rhizobium etli\",\"g__Rhizobium;s__Rhizobium mesoamericanum\",\"g__Rhizobium;s__Rhizobium multihospitium\",\"g__Rhizobium;s__Rhizobium sp. CF080\",\"g__Rhizobium;s__Rhizobium sp. CF258\",\"g__Rhizobium;s__Rhizobium sp. NFR12\",\"g__Rhizobium;s__Rhizobium sp. Root482\",\"g__Rhizobium;s__Rhizobium sp. Root564\",\"g__Rhizobium;s__Rhizobium vignae\",\"g__Sinorhizobium;s__Sinorhizobium meliloti\",\"g__Afifella;s__Afifella marina\",\"g__Roseospirillum;s__Roseospirillum parvum\",\"g__Unclassified;s__Rhizobiales bacterium CCH10-E5\",\"g__Unclassified;s__Rhizobiales bacterium CCH3-A5\",\"g__Unclassified;s__Rhizobiales bacterium GAS188\",\"g__Azorhizobium;s__Azorhizobium doebereinerae\",\"g__Xanthobacter;s__Xanthobacter autotrophicus\",\"g__Xanthobacter;s__Xanthobacter sp. 126\",\"g__Euryhalocaulis;s__Euryhalocaulis caribicus\",\"g__Hellea;s__Hellea balneolensis\",\"g__Hyphomonas;s__Hyphomonas sp. BRH_c22\",\"g__Oceanicaulis;s__Oceanicaulis sp. HTCC2633\",\"g__Aestuariivita;s__Aestuariivita atlantica\",\"g__Aliiroseovarius;s__Aliiroseovarius crassostreae\",\"g__Celeribacter;s__Celeribacter halophilus\",\"g__Celeribacter;s__Celeribacter indicus\",\"g__Dinoroseobacter;s__Dinoroseobacter shibae\",\"g__Epibacterium;s__Epibacterium ulvae\",\"g__Gemmobacter;s__Gemmobacter nectariphilus\",\"g__Jannaschia;s__Jannaschia sp. EhC01\",\"g__Labrenzia;s__Labrenzia alexandrii\",\"g__Labrenzia;s__Labrenzia sp. OB1\",\"g__Leisingera;s__Leisingera aquaemixtae\",\"g__Leisingera;s__Leisingera aquimarina\",\"g__Leisingera;s__Leisingera methylohalidivorans\",\"g__Leisingera;s__Leisingera sp. ANG-M1\",\"g__Marinovum;s__Marinovum algicola\",\"g__Oceanicola;s__Oceanicola sp. MCTG156(1a)\",\"g__Oceanicola;s__Oceanicola sp. S124\",\"g__Paenirhodobacter;s__Paenirhodobacter sp. MME-103\",\"g__Paracoccus;s__Paracoccus alkenifer\",\"g__Paracoccus;s__Paracoccus aminophilus\",\"g__Paracoccus;s__Paracoccus homiensis\",\"g__Paracoccus;s__Paracoccus sp. MKU1\",\"g__Phaeobacter;s__Phaeobacter sp. CECT 7735\",\"g__Pseudorhodobacter;s__Pseudorhodobacter aquimaris\",\"g__Pseudoruegeria;s__Pseudoruegeria lutimaris\",\"g__Pseudovibrio;s__Pseudovibrio sp. Ad37\",\"g__Pseudovibrio;s__Pseudovibrio sp. Tun.PHSC04-5.I4\",\"g__Pseudovibrio;s__Pseudovibrio stylochi\",\"g__Rhodobacter;s__Rhodobacter capsulatus\",\"g__Rhodobacter;s__Rhodobacter sp. CCB-MM2\",\"g__Roseibium;s__Roseibium sp. TrichSKD4\",\"g__Rubrimonas;s__Rubrimonas cliftonensis\",\"g__Ruegeria;s__Ruegeria mobilis\",\"g__Salipiger;s__Salipiger mucosus\",\"g__Sediminimonas;s__Sediminimonas qiaohouensis\",\"g__Sulfitobacter;s__Sulfitobacter noctilucicola\",\"g__Sulfitobacter;s__Sulfitobacter pseudonitzschiae\",\"g__Sulfitobacter;s__Sulfitobacter sp. EhC04\",\"g__Unclassified;s__Rhodobacteraceae bacterium HLUCCA12\",\"g__Acidiphilium;s__Acidiphilium angustum\",\"g__Acidocella;s__Acidocella aminolytica\",\"g__Commensalibacter;s__Commensalibacter intestini\",\"g__Gluconacetobacter;s__Gluconacetobacter diazotrophicus\",\"g__Komagataeibacter;s__Komagataeibacter europaeus\",\"g__Komagataeibacter;s__Komagataeibacter hansenii\",\"g__Roseomonas;s__Roseomonas aerilata\",\"g__Unclassified;s__Acetobacteraceae bacterium AT-5844\",\"g__Azospirillum;s__Azospirillum brasilense\",\"g__Azospirillum;s__Azospirillum lipoferum\",\"g__Caenispirillum;s__Caenispirillum salinarum\",\"g__Candidatus Endolissoclinum;s__Candidatus Endolissoclinum faulkneri\",\"g__Dongia;s__Dongia sp. URHE0060\",\"g__Elstera;s__Elstera litoralis\",\"g__Inquilinus;s__Inquilinus limosus\",\"g__Magnetospirillum;s__Magnetospirillum caucaseum\",\"g__Magnetospirillum;s__Magnetospirillum magnetotacticum\",\"g__Magnetospirillum;s__Magnetospirillum moscoviense\",\"g__Nitrospirillum;s__Nitrospirillum amazonense\",\"g__Oceanibaculum;s__Oceanibaculum pacificum\",\"g__Pararhodospirillum;s__Pararhodospirillum photometricum\",\"g__Skermanella;s__Skermanella stibiiresistens\",\"g__Thalassospira;s__Thalassospira sp. MCCC 1A01148\",\"g__Unclassified;s__Rhodospirillaceae bacterium BRH_c57\",\"g__Unclassified;s__Rhodospirillaceae bacterium CCH5-H10\",\"g__Unclassified;s__Rhodospirillales bacterium RIFCSPLOWO2_12_FULL_67_15\",\"g__Unclassified;s__Rhodospirillales bacterium URHD0017\",\"g__Unclassified;s__Rhodospirillales bacterium URHD0088\",\"g__Candidatus Jidaibacter;s__Candidatus Jidaibacter acanthamoeba\",\"g__Candidatus Odyssella;s__Candidatus Odyssella thessalonicensis\",\"g__Caedibacter;s__Candidatus Caedibacter acanthamoebae\",\"g__Erythrobacter;s__Erythrobacter sp. AP23\",\"g__Erythrobacter;s__Erythrobacter sp. NAP1\",\"g__Erythrobacter;s__Erythrobacter sp. QSSC1-22B\",\"g__Novosphingobium;s__Novosphingobium fuchskuhlense\",\"g__Novosphingobium;s__Novosphingobium resinovorum\",\"g__Novosphingobium;s__Novosphingobium rosa\",\"g__Novosphingobium;s__Novosphingobium sp. Rr 2-17\",\"g__Novosphingobium;s__Novosphingobium tardaugens\",\"g__Sphingobium;s__Sphingobium barthaii\",\"g__Sphingobium;s__Sphingobium sp. RAC03\",\"g__Sphingomonas;s__Sphingomonas haloaromaticamans\",\"g__Sphingomonas;s__Sphingomonas hankookensis\",\"g__Sphingomonas;s__Sphingomonas soli\",\"g__Sphingomonas;s__Sphingomonas sp. Leaf257\",\"g__Sphingomonas;s__Sphingomonas sp. Leaf343\",\"g__Sphingomonas;s__Sphingomonas sp. MCT13\",\"g__Sphingomonas;s__Sphingomonas sp. OV641\",\"g__Sphingomonas;s__Sphingomonas sp. PAMC 26605\",\"g__Sphingomonas;s__Sphingomonas sp. PR090111-T3T-6A\",\"g__Sphingomonas;s__Sphingomonas sp. Y57\",\"g__Sphingopyxis;s__Sphingopyxis granuli\",\"g__Sphingopyxis;s__Sphingopyxis macrogoltabida\",\"g__Sphingopyxis;s__Sphingopyxis sp. MWB1\",\"g__Unclassified;s__Sphingomonadales bacterium GWF1_63_6\",\"g__Unclassified;s__Sphingomonadales bacterium RIFCSPHIGHO2_01_FULL_65_20\",\"g__Polymorphum;s__Polymorphum gilvum\",\"g__Unclassified;s__Alphaproteobacteria bacterium GWF2_58_20\",\"g__Unclassified;s__SAR116 cluster alpha proteobacterium HIMB100\",\"g__Achromobacter;s__Achromobacter piechaudii\",\"g__Achromobacter;s__Achromobacter sp. 2789STDY5608607\",\"g__Achromobacter;s__Achromobacter sp. 2789STDY5608609\",\"g__Achromobacter;s__Achromobacter sp. ATCC35328\",\"g__Advenella;s__Advenella kashmirensis\",\"g__Azohydromonas;s__Azohydromonas australica\",\"g__Bordetella;s__Bordetella ansorpii\",\"g__Bordetella;s__Bordetella avium\",\"g__Bordetella;s__Bordetella bronchiseptica\",\"g__Bordetella;s__Bordetella hinzii\",\"g__Bordetella;s__Bordetella pertussis\",\"g__Bordetella;s__Bordetella petrii\",\"g__Bordetella;s__Bordetella sp. N\",\"g__Castellaniella;s__Castellaniella defragrans\",\"g__Derxia;s__Derxia gummosa\",\"g__Kerstersia;s__Kerstersia gyiorum\",\"g__Pelistega;s__Pelistega sp. MC2\",\"g__Taylorella;s__Taylorella equigenitalis\",\"g__Burkholderia;s__Burkholderia anthina\",\"g__Burkholderia;s__Burkholderia calidae\",\"g__Burkholderia;s__Burkholderia fortuita\",\"g__Burkholderia;s__Burkholderia gladioli\",\"g__Burkholderia;s__Burkholderia glebae\",\"g__Burkholderia;s__Burkholderia glumae\",\"g__Burkholderia;s__Burkholderia multivorans\",\"g__Burkholderia;s__Burkholderia pedi\",\"g__Burkholderia;s__Burkholderia pyrrocinia\",\"g__Burkholderia;s__Burkholderia sp. CCA53\",\"g__Burkholderia;s__Burkholderia sp. CCGE1002\",\"g__Burkholderia;s__Burkholderia sp. K24\",\"g__Burkholderia;s__Burkholderia sp. M701\",\"g__Burkholderia;s__Burkholderia sp. USM B20\",\"g__Burkholderia;s__Burkholderia sp. yr281\",\"g__Burkholderia;s__Burkholderia thailandensis\",\"g__Burkholderia;s__Candidatus Burkholderia humilis\",\"g__Burkholderia;s__Candidatus Burkholderia verschuerenii\",\"g__Burkholderia;s__uncultured Burkholderia sp.\",\"g__Caballeronia;s__Burkholderia cordobensis\",\"g__Caballeronia;s__Paraburkholderia glathei\",\"g__Caballeronia;s__Paraburkholderia humi\",\"g__Chitinimonas;s__Chitinimonas koreensis\",\"g__Cupriavidus;s__Cupriavidus basilensis\",\"g__Cupriavidus;s__Cupriavidus gilardii\",\"g__Cupriavidus;s__Cupriavidus metallidurans\",\"g__Lautropia;s__Lautropia sp. SCN 69-89\",\"g__Lautropia;s__Lautropia sp. SCN 70-15\",\"g__Pandoraea;s__Pandoraea norimbergensis\",\"g__Pandoraea;s__Pandoraea thiooxydans\",\"g__Paraburkholderia;s__Paraburkholderia caledonica\",\"g__Paraburkholderia;s__Paraburkholderia fungorum\",\"g__Paraburkholderia;s__Paraburkholderia ginsengisoli\",\"g__Paraburkholderia;s__Paraburkholderia mimosarum\",\"g__Paraburkholderia;s__Paraburkholderia sediminicola\",\"g__Paraburkholderia;s__Paraburkholderia tuberum\",\"g__Ralstonia;s__Ralstonia solanacearum\",\"g__Ralstonia;s__blood disease bacterium R229\",\"g__Unclassified;s__Burkholderiaceae bacterium 16\",\"g__Acidovorax;s__Acidovorax citrulli\",\"g__Acidovorax;s__Acidovorax delafieldii\",\"g__Acidovorax;s__Acidovorax sp. 12322-1\",\"g__Acidovorax;s__Acidovorax sp. JS42\",\"g__Acidovorax;s__Acidovorax sp. KKS102\",\"g__Acidovorax;s__Acidovorax sp. MR-S7\",\"g__Acidovorax;s__Acidovorax sp. NO-1\",\"g__Brachymonas;s__Brachymonas denitrificans\",\"g__Caldimonas;s__Caldimonas manganoxidans\",\"g__Candidatus Symbiobacter;s__Candidatus Symbiobacter mobilis\",\"g__Comamonas;s__Comamonas aquatica\",\"g__Comamonas;s__Comamonas sp. E6\",\"g__Comamonas;s__Comamonas thiooxydans\",\"g__Delftia;s__Delftia sp. RIT313\",\"g__Diaphorobacter;s__Diaphorobacter sp. J5-51\",\"g__Giesbergeria;s__Giesbergeria anulus\",\"g__Hydrogenophaga;s__Hydrogenophaga sp. T4\",\"g__Limnohabitans;s__Limnohabitans planktonicus\",\"g__Limnohabitans;s__Limnohabitans sp. 63ED37-2\",\"g__Polaromonas;s__Polaromonas jejuensis\",\"g__Polaromonas;s__Polaromonas naphthalenivorans\",\"g__Polaromonas;s__Polaromonas sp. CF318\",\"g__Polaromonas;s__Polaromonas sp. CG9_12\",\"g__Ramlibacter;s__Ramlibacter sp. Leaf400\",\"g__Unclassified;s__Comamonadaceae bacterium CCH4-C5\",\"g__Variovorax;s__Variovorax paradoxus\",\"g__Variovorax;s__Variovorax sp. OK202\",\"g__Variovorax;s__Variovorax sp. WDL1\",\"g__Xenophilus;s__Xenophilus azovorans\",\"g__Collimonas;s__Collimonas arenae\",\"g__Collimonas;s__Collimonas sp. OK242\",\"g__Duganella;s__Duganella phyllosphaerae\",\"g__Duganella;s__Duganella sp. CF402\",\"g__Duganella;s__Duganella sp. Leaf126\",\"g__Herbaspirillum;s__Herbaspirillum autotrophicum\",\"g__Herbaspirillum;s__Herbaspirillum frisingense\",\"g__Herbaspirillum;s__Herbaspirillum sp. B39\",\"g__Herbaspirillum;s__Herbaspirillum sp. RV1423\",\"g__Herminiimonas;s__Herminiimonas arsenicoxydans\",\"g__Herminiimonas;s__Herminiimonas sp. CN\",\"g__Janthinobacterium;s__Janthinobacterium sp. HH01\",\"g__Janthinobacterium;s__Janthinobacterium sp. KBS0711\",\"g__Janthinobacterium;s__Janthinobacterium sp. OK676\",\"g__Massilia;s__Massilia sp. BSC265\",\"g__Noviherbaspirillum;s__Noviherbaspirillum sp. Root189\",\"g__Leptothrix;s__Leptothrix cholodnii\",\"g__Methylibium;s__Methylibium petroleiphilum\",\"g__Methylibium;s__Methylibium sp. CF059\",\"g__Methylibium;s__Methylibium sp. CF468\",\"g__Paucibacter;s__Paucibacter sp. KCTC 42545\",\"g__Rubrivivax;s__Rubrivivax gelatinosus\",\"g__Rubrivivax;s__Rubrivivax sp. SCN 71-131\",\"g__Thiomonas;s__Thiomonas bhubaneswarensis\",\"g__Unclassified;s__Burkholderiales bacterium RIFCSPLOWO2_12_FULL_61_40\",\"g__Xylophilus;s__Xylophilus sp. Leaf220\",\"g__Ferriphaselus;s__Ferriphaselus sp. R-1\",\"g__Unclassified;s__Gallionellales bacterium GWA2_60_142\",\"g__Tepidiphilus;s__Tepidiphilus margaritifer\",\"g__Methylobacillus;s__Methylobacillus glycogenes\",\"g__Methylotenera;s__Methylotenera sp. N17\",\"g__Methylotenera;s__Methylotenera sp. RIFCSPLOWO2_02_FULL_45_14\",\"g__Methylovorus;s__Methylovorus sp. MM1\",\"g__Aquitalea;s__Aquitalea magnusonii\",\"g__Chitinilyticum;s__Chitinilyticum aquatile\",\"g__Chromobacterium;s__Chromobacterium sp. C-61\",\"g__Chromobacterium;s__Chromobacterium subtsugae\",\"g__Chromobacterium;s__Chromobacterium vaccinii\",\"g__Chromobacterium;s__Chromobacterium violaceum\",\"g__Deefgea;s__Deefgea rivuli\",\"g__Microvirgula;s__Microvirgula aerodenitrificans\",\"g__Alysiella;s__Alysiella crassa\",\"g__Amantichitinum;s__Amantichitinum ursilacus\",\"g__Bergeriella;s__Bergeriella denitrificans\",\"g__Crenobacter;s__Crenobacter luteus\",\"g__Kingella;s__Kingella sp. Sch538\",\"g__Morococcus;s__Morococcus cerebrosus\",\"g__Neisseria;s__Neisseria flavescens\",\"g__Neisseria;s__Neisseria lactamica\",\"g__Neisseria;s__Neisseria meningitidis\",\"g__Neisseria;s__Neisseria polysaccharea\",\"g__Neisseria;s__Neisseria sicca\",\"g__Neisseria;s__Neisseria sp. 74A18\",\"g__Neisseria;s__Neisseria sp. HMSC064E01\",\"g__Neisseria;s__Neisseria sp. HMSC065D04\",\"g__Neisseria;s__Neisseria sp. HMSC070E12\",\"g__Neisseria;s__Neisseria sp. HMSC074B07\",\"g__Neisseria;s__Neisseria sp. HMSC078C12\",\"g__Neisseria;s__Neisseria sp. HMSC15C08\",\"g__Neisseria;s__Neisseria subflava\",\"g__Neisseria;s__Neisseria weaveri\",\"g__Simonsiella;s__Simonsiella muelleri\",\"g__Snodgrassella;s__Snodgrassella alvi\",\"g__Snodgrassella;s__Snodgrassella sp. CFCC 13594\",\"g__Nitrosomonas;s__Nitrosomonas eutropha\",\"g__Nitrosomonas;s__Nitrosomonas sp. AL212\",\"g__Nitrosomonas;s__Nitrosomonas sp. Is79A3\",\"g__Nitrosomonas;s__Nitrosomonas sp. Nm58\",\"g__Nitrosomonas;s__Nitrosomonas ureae\",\"g__Nitrosospira;s__Nitrosospira sp. Nl5\",\"g__Nitrosospira;s__Nitrosospira sp. NpAV\",\"g__Nitrosospira;s__Nitrosospira sp. Nsp18\",\"g__Nitrosovibrio;s__Nitrosovibrio tenuis\",\"g__Azoarcus;s__Azoarcus olearius\",\"g__Azoarcus;s__Azoarcus sp. CIB\",\"g__Azoarcus;s__Azoarcus sp. PA01\",\"g__Azonexus;s__Azonexus hydrophilus\",\"g__Azospira;s__Azospira oryzae\",\"g__Azovibrio;s__Azovibrio restrictus\",\"g__Methyloversatilis;s__Methyloversatilis discipulorum\",\"g__Methyloversatilis;s__Methyloversatilis sp. RAC08\",\"g__Propionivibrio;s__Candidatus Propionivibrio aalborgensis\",\"g__Rugosibacter;s__Rugosibacter aromaticivorans\",\"g__Sulfuritalea;s__Sulfuritalea hydrogenivorans\",\"g__Thauera;s__Thauera butanivorans\",\"g__Thauera;s__Thauera sp. 27\",\"g__Thauera;s__Thauera sp. 63\",\"g__Thauera;s__Thauera sp. SWB20\",\"g__Thauera;s__Thauera sp. ZV-1-C\",\"g__Unclassified;s__Rhodocyclaceae bacterium Paddy-1\",\"g__Candidatus Accumulibacter;s__Candidatus Accumulibacter aalborgensis\",\"g__Candidatus Accumulibacter;s__Candidatus Accumulibacter phosphatis\",\"g__Candidatus Accumulibacter;s__Candidatus Accumulibacter sp. SK-01\",\"g__Candidatus Accumulibacter;s__Candidatus Accumulibacter sp. SK-02\",\"g__Candidatus Accumulibacter;s__Candidatus Accumulibacter sp. SK-12\",\"g__Unclassified;s__Betaproteobacteria bacterium RBG_16_56_24\",\"g__Unclassified;s__Betaproteobacteria bacterium RIFCSPLOWO2_02_FULL_67_26\",\"g__Unclassified;s__Betaproteobacteria bacterium RIFCSPLOWO2_12_FULL_65_14\",\"g__Unclassified;s__Betaproteobacteria bacterium RIFCSPLOWO2_12_FULL_68_19\",\"g__Unclassified;s__Betaproteobacteria bacterium SCGC AG-212-J23\",\"g__Unclassified;s__beta proteobacterium AAP51\",\"g__Unclassified;s__beta proteobacterium AAP99\",\"g__Unclassified;s__beta proteobacterium L13\",\"g__Bacteriovorax;s__Bacteriovorax sp. BAL6_X\",\"g__Bdellovibrio;s__Bdellovibrio bacteriovorus\",\"g__Halobacteriovorax;s__Halobacteriovorax marinus\",\"g__Unclassified;s__Bdellovibrionales bacterium RIFOXYB1_FULL_37_110\",\"g__Candidatus Magnetoglobus;s__Candidatus Magnetoglobus multicellularis\",\"g__Desulfobacter;s__Desulfobacter postgatei\",\"g__Desulfobacter;s__Desulfobacter vibrioformis\",\"g__Desulfobacula;s__Desulfobacula phenolica\",\"g__Desulfobacula;s__Desulfobacula sp. TS\",\"g__Desulfobacula;s__Desulfobacula toluolica\",\"g__Desulfotignum;s__Desulfotignum phosphitoxidans\",\"g__Desulfobulbus;s__Desulfobulbus elongatus\",\"g__Desulfobulbus;s__Desulfobulbus mediterraneus\",\"g__Desulfobulbus;s__Desulfobulbus propionicus\",\"g__Desulfocapsa;s__Desulfocapsa sulfexigens\",\"g__Desulfofustis;s__uncultured Desulfofustis sp. PB-SRB1\",\"g__Desulfotalea;s__Desulfotalea psychrophila\",\"g__Unclassified;s__Desulfobulbaceae bacterium S5133MH15\",\"g__Unclassified;s__Desulfobacterales bacterium C00003104\",\"g__Unclassified;s__Desulfobacterales bacterium PC51MH44\",\"g__Unclassified;s__Desulfobacterales bacterium SG8_35_2\",\"g__Desulfonatronospira;s__Desulfonatronospira thiodismutans\",\"g__Desulfovermiculus;s__Desulfovermiculus halophilus\",\"g__Desulfomicrobium;s__Desulfomicrobium baculatum\",\"g__Desulfoplanes;s__Desulfoplanes formicivorans\",\"g__Desulfonatronum;s__Desulfonatronum lacustre\",\"g__Desulfonatronum;s__Desulfonatronum thiosulfatophilum\",\"g__Desulfocurvus;s__Desulfocurvus vexinensis\",\"g__Desulfovibrio;s__Desulfovibrio brasiliensis\",\"g__Desulfovibrio;s__Desulfovibrio fructosivorans\",\"g__Desulfovibrio;s__Desulfovibrio hydrothermalis\",\"g__Desulfovibrio;s__Desulfovibrio oxyclinae\",\"g__Desulfovibrio;s__Desulfovibrio piezophilus\",\"g__Halodesulfovibrio;s__Halodesulfovibrio spirochaetisodalis\",\"g__Desulfuromonas;s__Desulfuromonas sp. SDB\",\"g__Desulfuromonas;s__Desulfuromonas thiophila\",\"g__Desulfuromusa;s__Desulfuromusa kysingii\",\"g__Pelobacter;s__Pelobacter acetylenicus\",\"g__Pelobacter;s__Pelobacter carbinolicus\",\"g__Unclassified;s__Desulfuromonadaceae bacterium GWB2_53_15\",\"g__Geoalkalibacter;s__Geoalkalibacter ferrihydriticus\",\"g__Geobacter;s__Geobacter bemidjiensis\",\"g__Geobacter;s__Geobacter bremensis\",\"g__Geobacter;s__Geobacter soli\",\"g__Geobacter;s__Geobacter sp. M21\",\"g__Geobacter;s__Geobacter sp. OR-1\",\"g__Geobacter;s__Geobacter sulfurreducens\",\"g__Geopsychrobacter;s__Geopsychrobacter electrodiphilus\",\"g__Unclassified;s__Geobacteraceae bacterium GWC2_53_11\",\"g__Unclassified;s__Desulfuromonadales bacterium C00003068\",\"g__Unclassified;s__Desulfuromonadales bacterium C00003094\",\"g__Unclassified;s__Desulfuromonadales bacterium GWD2_61_12\",\"g__Anaeromyxobacter;s__Anaeromyxobacter sp. RBG_16_69_14\",\"g__Archangium;s__Archangium gephyra\",\"g__Cystobacter;s__Cystobacter fuscus\",\"g__Stigmatella;s__Stigmatella erecta\",\"g__Haliangium;s__Haliangium ochraceum\",\"g__Labilithrix;s__Labilithrix luteola\",\"g__Corallococcus;s__Corallococcus coralloides\",\"g__Myxococcus;s__Myxococcus stipitatus\",\"g__Plesiocystis;s__Plesiocystis pacifica\",\"g__Chondromyces;s__Chondromyces apiculatus\",\"g__Sorangium;s__Sorangium cellulosum\",\"g__Sandaracinus;s__Sandaracinus amylolyticus\",\"g__Enhygromyxa;s__Enhygromyxa salina\",\"g__Vulgatibacter;s__Vulgatibacter incomptus\",\"g__Desulfobacca;s__Desulfobacca acetoxidans\",\"g__Smithella;s__Smithella sp. ME-1\",\"g__Smithella;s__Smithella sp. SCADC\",\"g__Smithella;s__Smithella sp. SDB\",\"g__Syntrophus;s__Syntrophus aciditrophicus\",\"g__Syntrophorhabdus;s__Syntrophorhabdus aromaticivorans\",\"g__Candidatus Desulfofervidus;s__Candidatus Desulfofervidus auxilii\",\"g__Candidatus Adiutrix;s__Candidatus Adiutrix intracellularis\",\"g__Dissulfuribacter;s__Dissulfuribacter thermophilus\",\"g__Unclassified;s__Deltaproteobacteria bacterium GWA2_45_12\",\"g__Unclassified;s__Deltaproteobacteria bacterium RBG_13_52_11\",\"g__Unclassified;s__Deltaproteobacteria bacterium RBG_13_61_14\",\"g__Unclassified;s__Deltaproteobacteria bacterium RBG_16_49_23\",\"g__Unclassified;s__Deltaproteobacteria bacterium RBG_16_54_18\",\"g__Unclassified;s__Deltaproteobacteria bacterium RBG_19FT_COMBO_43_11\",\"g__Unclassified;s__Deltaproteobacteria bacterium RBG_19FT_COMBO_46_12\",\"g__Unclassified;s__Deltaproteobacteria bacterium RBG_19FT_COMBO_60_16\",\"g__Unclassified;s__Deltaproteobacteria bacterium RIFOXYC2_FULL_48_10\",\"g__Unclassified;s__Deltaproteobacteria bacterium SG8_13\",\"g__Unclassified;s__Deltaproteobacteria bacterium SM23_61\",\"g__Unclassified;s__delta proteobacterium NaphS2\",\"g__Unclassified;s__delta proteobacterium PSCGC 5342\",\"g__Unclassified;s__delta proteobacterium PSCGC 5451\",\"g__Unclassified;s__uncultured delta proteobacterium\",\"g__Arcobacter;s__Arcobacter cibarius\",\"g__Arcobacter;s__Arcobacter cryaerophilus\",\"g__Arcobacter;s__Arcobacter faecis\",\"g__Arcobacter;s__Arcobacter skirrowii\",\"g__Campylobacter;s__Campylobacter concisus\",\"g__Campylobacter;s__Campylobacter corcagiensis\",\"g__Campylobacter;s__Campylobacter cuniculorum\",\"g__Campylobacter;s__Campylobacter hominis\",\"g__Campylobacter;s__Campylobacter hyointestinalis\",\"g__Campylobacter;s__Campylobacter peloridis\",\"g__Campylobacter;s__Campylobacter rectus\",\"g__Campylobacter;s__Campylobacter sp. RM18812\",\"g__Campylobacter;s__Campylobacter sp. WBE38\",\"g__Campylobacter;s__Campylobacter ureolyticus\",\"g__Sulfurospirillum;s__Sulfurospirillum arsenophilum\",\"g__Sulfurospirillum;s__Sulfurospirillum halorespirans\",\"g__Sulfurospirillum;s__Sulfurospirillum multivorans\",\"g__Sulfurospirillum;s__Sulfurospirillum sp. MES\",\"g__Sulfurospirillum;s__Sulfurospirillum sp. UCH001\",\"g__Helicobacter;s__Helicobacter apodemus\",\"g__Helicobacter;s__Helicobacter canadensis\",\"g__Helicobacter;s__Helicobacter felis\",\"g__Helicobacter;s__Helicobacter fennelliae\",\"g__Helicobacter;s__Helicobacter himalayensis\",\"g__Helicobacter;s__Helicobacter jaachi\",\"g__Helicobacter;s__Helicobacter macacae\",\"g__Helicobacter;s__Helicobacter magdeburgensis\",\"g__Helicobacter;s__Helicobacter rodentium\",\"g__Helicobacter;s__Helicobacter saguini\",\"g__Helicobacter;s__Helicobacter sp. CLO-3\",\"g__Helicobacter;s__Helicobacter sp. MIT 01-6242\",\"g__Helicobacter;s__Helicobacter sp. MIT 05-5294\",\"g__Helicobacter;s__Helicobacter sp. MIT 11-5569\",\"g__Helicobacter;s__Helicobacter typhlonius\",\"g__Sulfuricurvum;s__Sulfuricurvum kujiense\",\"g__Sulfurimonas;s__Sulfurimonas hongkongensis\",\"g__Sulfurimonas;s__Sulfurimonas sp. RIFOXYD2_FULL_37_8\",\"g__Thiovulum;s__Thiovulum sp. ES\",\"g__Caminibacter;s__Caminibacter mediatlanticus\",\"g__Nitratiruptor;s__Nitratiruptor sp. SB155-2\",\"g__Sulfurovum;s__Sulfurovum sp. FS06-10\",\"g__Sulfurovum;s__Sulfurovum sp. enrichment culture clone C5\",\"g__Acidiferrobacter;s__Acidiferrobacter thiooxydans\",\"g__Sulfurifustis;s__Sulfurifustis variabilis\",\"g__Aeromonas;s__Aeromonas caviae\",\"g__Aeromonas;s__Aeromonas dhakensis\",\"g__Aeromonas;s__Aeromonas enteropelogenes\",\"g__Aeromonas;s__Aeromonas fluvialis\",\"g__Aeromonas;s__Aeromonas piscicola\",\"g__Aeromonas;s__Aeromonas sp. ZOR0001\",\"g__Aeromonas;s__Aeromonas veronii\",\"g__Tolumonas;s__Tolumonas auensis\",\"g__Unclassified;s__Succinivibrionaceae bacterium WG-1\",\"g__Aliiglaciecola;s__Aliiglaciecola lipolytica\",\"g__Alishewanella;s__Alishewanella agri\",\"g__Alteromonas;s__Alteromonas lipolytica\",\"g__Alteromonas;s__Alteromonas macleodii\",\"g__Alteromonas;s__Alteromonas mediterranea\",\"g__Gayadomonas;s__Gayadomonas joobiniege\",\"g__Glaciecola;s__Glaciecola pallidula\",\"g__Marinobacter;s__Marinobacter adhaerens\",\"g__Marinobacter;s__Marinobacter lipolyticus\",\"g__Marinobacter;s__Marinobacter mobilis\",\"g__Marinobacter;s__Marinobacter santoriniensis\",\"g__Marinobacter;s__Marinobacter segnicrescens\",\"g__Marinobacter;s__Marinobacter sp. C1S70\",\"g__Marinobacter;s__Marinobacter sp. Hb8\",\"g__Paraglaciecola;s__Paraglaciecola mesophila\",\"g__Paraglaciecola;s__Paraglaciecola polaris\",\"g__Colwellia;s__Colwellia chukchiensis\",\"g__Colwellia;s__Colwellia psychrerythraea\",\"g__Colwellia;s__Colwellia sp. Phe_37\",\"g__Ferrimonas;s__Ferrimonas balearica\",\"g__Ferrimonas;s__Ferrimonas marina\",\"g__Idiomarina;s__Idiomarina abyssalis\",\"g__Idiomarina;s__Idiomarina baltica\",\"g__Idiomarina;s__Idiomarina salinarum\",\"g__Moritella;s__Moritella dasanensis\",\"g__Moritella;s__Moritella sp. JT01\",\"g__Pseudoalteromonas;s__Pseudoalteromonas atlantica\",\"g__Pseudoalteromonas;s__Pseudoalteromonas luteoviolacea\",\"g__Pseudoalteromonas;s__Pseudoalteromonas phenolica\",\"g__Pseudoalteromonas;s__Pseudoalteromonas piscicida\",\"g__Pseudoalteromonas;s__Pseudoalteromonas rubra\",\"g__Pseudoalteromonas;s__Pseudoalteromonas sp. PLSV\",\"g__Pseudoalteromonas;s__Pseudoalteromonas tunicata\",\"g__Psychromonas;s__Psychromonas arctica\",\"g__Psychromonas;s__Psychromonas hadalis\",\"g__Shewanella;s__Shewanella amazonensis\",\"g__Shewanella;s__Shewanella frigidimarina\",\"g__Shewanella;s__Shewanella halifaxensis\",\"g__Shewanella;s__Shewanella pealeana\",\"g__Shewanella;s__Shewanella sediminis\",\"g__Shewanella;s__Shewanella sp. MR-4\",\"g__Shewanella;s__Shewanella sp. POL2\",\"g__Shewanella;s__Shewanella sp. Sh95\",\"g__Shewanella;s__Shewanella sp. cp20\",\"g__Unclassified;s__gamma proteobacterium IMCC1989\",\"g__Candidatus Endobugula;s__Candidatus Endobugula sertula\",\"g__Cellvibrio;s__Cellvibrio sp. OA-2007\",\"g__Gilvimarinus;s__Gilvimarinus chinensis\",\"g__Marinimicrobium;s__Marinimicrobium agarilyticum\",\"g__Saccharophagus;s__Saccharophagus degradans\",\"g__Teredinibacter;s__Teredinibacter sp. 1162T.S.0a.05\",\"g__Teredinibacter;s__Teredinibacter turnerae\",\"g__Teredinibacter;s__uncultured Teredinibacter sp.\",\"g__Congregibacter;s__Congregibacter litoralis\",\"g__Haliea;s__Haliea salexigens\",\"g__Luminiphilus;s__Luminiphilus syltensis\",\"g__Porticoccus;s__Porticoccus hydrocarbonoclasticus\",\"g__Allochromatium;s__Allochromatium warmingii\",\"g__Candidatus Tenderia;s__Candidatus Tenderia electrophaga\",\"g__Marichromatium;s__Marichromatium gracile\",\"g__Marichromatium;s__Marichromatium purpuratum\",\"g__Nitrosococcus;s__Nitrosococcus watsonii\",\"g__Rheinheimera;s__Rheinheimera baltica\",\"g__Rheinheimera;s__Rheinheimera sp. A13L\",\"g__Rheinheimera;s__Rheinheimera sp. KL1\",\"g__Rheinheimera;s__Rheinheimera sp. SA_1\",\"g__Rheinheimera;s__Rheinheimera texasensis\",\"g__Thiocapsa;s__Thiocapsa roseopersicina\",\"g__Thioflavicoccus;s__Thioflavicoccus mobilis\",\"g__Thiorhodococcus;s__Thiorhodococcus drewsii\",\"g__Thiorhodovibrio;s__Thiorhodovibrio sp. 970\",\"g__Acidihalobacter;s__Acidihalobacter prosperus\",\"g__Alkalilimnicola;s__Alkalilimnicola ehrlichii\",\"g__Arhodomonas;s__Arhodomonas aquaeolei\",\"g__Ectothiorhodospira;s__Ectothiorhodospira magna\",\"g__Ectothiorhodospira;s__Ectothiorhodospira sp. PHS-1\",\"g__Thioalkalivibrio;s__Thioalkalivibrio sp. ALE9\",\"g__Thioalkalivibrio;s__Thioalkalivibrio sp. ALJ15\",\"g__Thioalkalivibrio;s__Thioalkalivibrio sp. ALMg13-2\",\"g__Thioalkalivibrio;s__Thioalkalivibrio sulfidiphilus\",\"g__Thioalkalivibrio;s__Thioalkalivibrio thiocyanodenitrificans\",\"g__Unclassified;s__Ectothiorhodospiraceae bacterium XJ16\",\"g__Halothiobacillus;s__Halothiobacillus neapolitanus\",\"g__Wenzhouxiangella;s__Wenzhouxiangella marina\",\"g__Citrobacter;s__Citrobacter amalonaticus\",\"g__Citrobacter;s__Citrobacter koseri\",\"g__Citrobacter;s__Citrobacter rodentium\",\"g__Citrobacter;s__Citrobacter sp. 50677481\",\"g__Citrobacter;s__Citrobacter sp. AATXR\",\"g__Citrobacter;s__Citrobacter sp. BIDMC107\",\"g__Citrobacter;s__Citrobacter sp. BIDMC108\",\"g__Cronobacter;s__Cronobacter turicensis\",\"g__Enterobacter;s__Enterobacter kobei\",\"g__Enterobacter;s__Enterobacter sp. Bisph2\",\"g__Enterobacter;s__Enterobacter sp. MGH 23\",\"g__Escherichia;s__Escherichia sp. 3_2_53FAA\",\"g__Klebsiella;s__Klebsiella michiganensis\",\"g__Klebsiella;s__Klebsiella quasipneumoniae\",\"g__Klebsiella;s__Klebsiella sp. 10982\",\"g__Klebsiella;s__Klebsiella sp. 5758\",\"g__Klebsiella;s__Klebsiella sp. NFIX36\",\"g__Kosakonia;s__Kosakonia oryziphila\",\"g__Kosakonia;s__Kosakonia radicincitans\",\"g__Mangrovibacter;s__Mangrovibacter sp. MP23\",\"g__Shigella;s__Shigella boydii\",\"g__Trabulsiella;s__Trabulsiella guamensis\",\"g__Trabulsiella;s__Trabulsiella odontotermitis\",\"g__Unclassified;s__Enterobacteriaceae bacterium B14\",\"g__Unclassified;s__Enterobacteriaceae bacterium strain FGI 57\",\"g__Erwinia;s__Erwinia oleae\",\"g__Erwinia;s__Erwinia persicina\",\"g__Erwinia;s__Erwinia sp. Leaf53\",\"g__Erwinia;s__Erwinia teleogrylli\",\"g__Pantoea;s__Pantoea sp. PSNIH1\",\"g__Pantoea;s__Pantoea sp. PSNIH2\",\"g__Pantoea;s__Pantoea vagans\",\"g__Phaseolibacter;s__Phaseolibacter flectens\",\"g__Edwardsiella;s__Edwardsiella tarda\",\"g__Obesumbacterium;s__Obesumbacterium proteus\",\"g__Morganella;s__Morganella morganii\",\"g__Photorhabdus;s__Photorhabdus asymbiotica\",\"g__Photorhabdus;s__Photorhabdus temperata\",\"g__Proteus;s__Proteus hauseri\",\"g__Proteus;s__Proteus mirabilis\",\"g__Proteus;s__Proteus vulgaris\",\"g__Providencia;s__Providencia rettgeri\",\"g__Dickeya;s__Dickeya paradisiaca\",\"g__Dickeya;s__Dickeya sp. NCPPB 569\",\"g__Pectobacterium;s__Pectobacterium carotovorum\",\"g__Pectobacterium;s__Pectobacterium parmentieri\",\"g__Pectobacterium;s__Pectobacterium wasabiae\",\"g__Sodalis;s__Sodalis praecaptivus\",\"g__Plesiomonas;s__Plesiomonas shigelloides\",\"g__Rouxiella;s__Rouxiella chamberiensis\",\"g__Serratia;s__Serratia marcescens\",\"g__Serratia;s__Serratia plymuthica\",\"g__Serratia;s__Serratia proteamaculans\",\"g__Serratia;s__Serratia sp. Ag1\",\"g__Serratia;s__Serratia sp. Leaf51\",\"g__Yersinia;s__Yersinia aldovae\",\"g__Yersinia;s__Yersinia enterocolitica\",\"g__Yersinia;s__Yersinia frederiksenii\",\"g__Yersinia;s__Yersinia intermedia\",\"g__Yersinia;s__Yersinia similis\",\"g__Coxiella;s__Coxiella burnetii\",\"g__Coxiella;s__Coxiella sp. DG_40\",\"g__Coxiella;s__Coxiella sp. RIFCSPHIGHO2_12_FULL_42_15\",\"g__Unclassified;s__Coxiellaceae bacterium HT99\",\"g__Legionella;s__Legionella drozanskii\",\"g__Legionella;s__Legionella fallonii\",\"g__Legionella;s__Legionella hackeliae\",\"g__Legionella;s__Legionella londiniensis\",\"g__Legionella;s__Legionella shakespearei\",\"g__Legionella;s__Legionella steelei\",\"g__Methylobacter;s__Methylobacter sp. BBA5.1\",\"g__Methylobacter;s__Methylobacter tundripaludum\",\"g__Methylocaldum;s__Methylocaldum szegediense\",\"g__Methyloglobulus;s__Methyloglobulus morosus\",\"g__Methylomarinum;s__Methylomarinum vadi\",\"g__Methylomicrobium;s__Methylomicrobium alcaliphilum\",\"g__Methylomonas;s__Methylomonas koyamae\",\"g__Methylomonas;s__Methylomonas lenta\",\"g__Methylomonas;s__Methylomonas methanica\",\"g__Methylomonas;s__Methylomonas sp. LWB\",\"g__Polycyclovorans;s__Polycyclovorans algicola\",\"g__Alcanivorax;s__Alcanivorax hongdengensis\",\"g__Alcanivorax;s__Alcanivorax sp. HI0013\",\"g__Alcanivorax;s__Alcanivorax sp. KX64203\",\"g__Kangiella;s__Kangiella koreensis\",\"g__Endozoicomonas;s__Endozoicomonas atrinae\",\"g__Endozoicomonas;s__Endozoicomonas numazuensis\",\"g__Hahella;s__Hahella chejuensis\",\"g__Hahella;s__Hahella ganghwensis\",\"g__Cobetia;s__Cobetia crustatorum\",\"g__Cobetia;s__Cobetia sp. UCD-24C\",\"g__Halomonas;s__Halomonas anticariensis\",\"g__Halomonas;s__Halomonas boliviensis\",\"g__Halomonas;s__Halomonas daqingensis\",\"g__Halomonas;s__Halomonas elongata\",\"g__Halomonas;s__Halomonas gudaonensis\",\"g__Halomonas;s__Halomonas huangheensis\",\"g__Halomonas;s__Halomonas salina\",\"g__Halomonas;s__Halomonas smyrnensis\",\"g__Halomonas;s__Halomonas sp. HAL1\",\"g__Halomonas;s__Halomonas sp. KO116\",\"g__Halotalea;s__Halotalea alkalilenta\",\"g__Kushneria;s__Kushneria sp. YCWA18\",\"g__Amphritea;s__Amphritea japonica\",\"g__Marinobacterium;s__Marinobacterium litorale\",\"g__Marinobacterium;s__Marinobacterium sp. AK27\",\"g__Marinobacterium;s__Marinobacterium sp. ST58-10\",\"g__Marinomonas;s__Marinomonas sp. S3726\",\"g__Marinomonas;s__Marinomonas spartinae\",\"g__Marinospirillum;s__Marinospirillum insulare\",\"g__Neptunomonas;s__Neptunomonas antarctica\",\"g__Neptunomonas;s__Neptunomonas japonica\",\"g__Oceanospirillum;s__Oceanospirillum beijerinckii\",\"g__Oleispira;s__Oleispira antarctica\",\"g__Unclassified;s__Osedax symbiont Rs1\",\"g__Candidatus Schmidhempelia;s__Candidatus Schmidhempelia bombi\",\"g__Actinobacillus;s__Actinobacillus capsulatus\",\"g__Actinobacillus;s__Actinobacillus pleuropneumoniae\",\"g__Aggregatibacter;s__Aggregatibacter actinomycetemcomitans\",\"g__Aggregatibacter;s__Aggregatibacter segnis\",\"g__Basfia;s__[Mannheimia] succiniciproducens\",\"g__Gallibacterium;s__Gallibacterium genomosp. 1\",\"g__Haemophilus;s__Haemophilus pittmaniae\",\"g__Haemophilus;s__Haemophilus sp. HMSC066D03\",\"g__Haemophilus;s__Haemophilus sp. oral taxon 851\",\"g__Mannheimia;s__Mannheimia haemolytica\",\"g__Mannheimia;s__Mannheimia varigena\",\"g__Necropsobacter;s__Necropsobacter rosorum\",\"g__Pasteurella;s__Pasteurella dagmatis\",\"g__Pasteurella;s__[Pasteurella] pneumotropica\",\"g__Acinetobacter;s__Acinetobacter calcoaceticus\",\"g__Acinetobacter;s__Acinetobacter guillouiae\",\"g__Acinetobacter;s__Acinetobacter haemolyticus\",\"g__Acinetobacter;s__Acinetobacter kookii\",\"g__Acinetobacter;s__Acinetobacter lwoffii\",\"g__Acinetobacter;s__Acinetobacter nosocomialis\",\"g__Acinetobacter;s__Acinetobacter qingfengensis\",\"g__Acinetobacter;s__Acinetobacter radioresistens\",\"g__Acinetobacter;s__Acinetobacter sp. AG1\",\"g__Acinetobacter;s__Acinetobacter sp. ANC 3862\",\"g__Acinetobacter;s__Acinetobacter sp. ANC 3929\",\"g__Acinetobacter;s__Acinetobacter sp. CAG:196\",\"g__Acinetobacter;s__Acinetobacter sp. CIP 64.2\",\"g__Acinetobacter;s__Acinetobacter sp. HR7\",\"g__Acinetobacter;s__Acinetobacter sp. MN12\",\"g__Acinetobacter;s__Acinetobacter sp. NIPH 2168\",\"g__Acinetobacter;s__Acinetobacter sp. TGL-Y2\",\"g__Acinetobacter;s__Acinetobacter sp. WCHA34\",\"g__Acinetobacter;s__Acinetobacter tjernbergiae\",\"g__Acinetobacter;s__Acinetobacter towneri\",\"g__Acinetobacter;s__Acinetobacter ursingii\",\"g__Acinetobacter;s__Acinetobacter venetianus\",\"g__Alkanindiges;s__Alkanindiges illinoisensis\",\"g__Moraxella;s__Moraxella atlantae\",\"g__Moraxella;s__Moraxella bovoculi\",\"g__Moraxella;s__Moraxella catarrhalis\",\"g__Moraxella;s__Moraxella ovis\",\"g__Psychrobacter;s__Psychrobacter alimentarius\",\"g__Psychrobacter;s__Psychrobacter phenylpyruvicus\",\"g__Psychrobacter;s__Psychrobacter sp. G\",\"g__Psychrobacter;s__Psychrobacter sp. P11G3\",\"g__Azotobacter;s__Azotobacter beijerinckii\",\"g__Azotobacter;s__Azotobacter chroococcum\",\"g__Pseudomonas;s__Pseudomonas amygdali\",\"g__Pseudomonas;s__Pseudomonas antarctica\",\"g__Pseudomonas;s__Pseudomonas avellanae\",\"g__Pseudomonas;s__Pseudomonas azotoformans\",\"g__Pseudomonas;s__Pseudomonas cichorii\",\"g__Pseudomonas;s__Pseudomonas citronellolis\",\"g__Pseudomonas;s__Pseudomonas coronafaciens\",\"g__Pseudomonas;s__Pseudomonas flexibilis\",\"g__Pseudomonas;s__Pseudomonas fuscovaginae\",\"g__Pseudomonas;s__Pseudomonas indica\",\"g__Pseudomonas;s__Pseudomonas lutea\",\"g__Pseudomonas;s__Pseudomonas mandelii\",\"g__Pseudomonas;s__Pseudomonas panipatensis\",\"g__Pseudomonas;s__Pseudomonas pelagia\",\"g__Pseudomonas;s__Pseudomonas psychrotolerans\",\"g__Pseudomonas;s__Pseudomonas sabulinigri\",\"g__Pseudomonas;s__Pseudomonas salomonii\",\"g__Pseudomonas;s__Pseudomonas savastanoi\",\"g__Pseudomonas;s__Pseudomonas sp. 22 E 5\",\"g__Pseudomonas;s__Pseudomonas sp. 250J\",\"g__Pseudomonas;s__Pseudomonas sp. A3(2016)\",\"g__Pseudomonas;s__Pseudomonas sp. AAC\",\"g__Pseudomonas;s__Pseudomonas sp. BMS12\",\"g__Pseudomonas;s__Pseudomonas sp. G5(2012)\",\"g__Pseudomonas;s__Pseudomonas sp. GM41(2012)\",\"g__Pseudomonas;s__Pseudomonas sp. HPB0071\",\"g__Pseudomonas;s__Pseudomonas sp. LFM046\",\"g__Pseudomonas;s__Pseudomonas sp. ML96\",\"g__Pseudomonas;s__Pseudomonas sp. NBRC 111124\",\"g__Pseudomonas;s__Pseudomonas sp. NBRC 111134\",\"g__Pseudomonas;s__Pseudomonas sp. NBRC 111136\",\"g__Pseudomonas;s__Pseudomonas sp. NFACC56-3\",\"g__Pseudomonas;s__Pseudomonas sp. P482\",\"g__Pseudomonas;s__Pseudomonas sp. RIT-PI-r\",\"g__Pseudomonas;s__Pseudomonas sp. Root401\",\"g__Pseudomonas;s__Pseudomonas sp. S9\",\"g__Pseudomonas;s__Pseudomonas sp. WCS358\",\"g__Pseudomonas;s__Pseudomonas stutzeri\",\"g__Pseudomonas;s__Pseudomonas thermotolerans\",\"g__Pseudomonas;s__Pseudomonas vancouverensis\",\"g__Pseudomonas;s__Pseudomonas weihenstephanensis\",\"g__Pseudomonas;s__Pseudomonas xanthomarina\",\"g__Pseudomonas;s__Pseudomonas xinjiangensis\",\"g__Pseudomonas;s__uncultured Pseudomonas sp.\",\"g__Unclassified;s__Pseudomonadales bacterium RIFCSPLOWO2_12_59_9\",\"g__Salinisphaera;s__Salinisphaera hydrothermalis\",\"g__Allofrancisella;s__Allofrancisella guangzhouensis\",\"g__Methylophaga;s__Methylophaga aminisulfidivorans\",\"g__Piscirickettsia;s__Piscirickettsia sp. Y2\",\"g__Thioalkalimicrobium;s__Thioalkalimicrobium cyclicum\",\"g__Thiomicrospira;s__Thiomicrospira arctica\",\"g__Thiomicrospira;s__Thiomicrospira crunogena\",\"g__Thiomicrospira;s__Thiomicrospira sp. Milos-T1\",\"g__Achromatium;s__Achromatium sp. WMS2\",\"g__Achromatium;s__Candidatus Achromatium palustre\",\"g__Leucothrix;s__Leucothrix mucor\",\"g__Thiothrix;s__Thiothrix caldifontis\",\"g__Thiothrix;s__Thiothrix flexilis\",\"g__Thiothrix;s__Thiothrix lacustris\",\"g__Thiothrix;s__Thiothrix nivea\",\"g__Fangia;s__Fangia hongkongensis\",\"g__Candidatus Competibacter;s__Candidatus Competibacter denitrificans\",\"g__Alkalimonas;s__Alkalimonas amylolytica\",\"g__Ignatzschineria;s__Ignatzschineria larvae\",\"g__Thiohalorhabdus;s__Thiohalorhabdus denitrificans\",\"g__Unclassified;s__Bathymodiolus azoricus thioautotrophic gill symbiont\",\"g__Unclassified;s__Gammaproteobacteria bacterium GWE2_42_36\",\"g__Unclassified;s__Gammaproteobacteria bacterium GWF2_41_13\",\"g__Unclassified;s__Gammaproteobacteria bacterium RBG_16_57_12\",\"g__Unclassified;s__Gammaproteobacteria bacterium SCGC AG-212-F23\",\"g__Unclassified;s__endosymbiont of Ridgeia piscesae\",\"g__Unclassified;s__gamma proteobacterium WG36\",\"g__Unclassified;s__uncultured gamma proteobacterium EB000_65A11\",\"g__Aliivibrio;s__Aliivibrio salmonicida\",\"g__Aliivibrio;s__Aliivibrio wodanis\",\"g__Photobacterium;s__Photobacterium angustum\",\"g__Photobacterium;s__Photobacterium aphoticum\",\"g__Photobacterium;s__Photobacterium aquae\",\"g__Photobacterium;s__Photobacterium damselae\",\"g__Photobacterium;s__Photobacterium halotolerans\",\"g__Photobacterium;s__Photobacterium iliopiscarium\",\"g__Photobacterium;s__Photobacterium phosphoreum\",\"g__Photobacterium;s__Photobacterium profundum\",\"g__Photobacterium;s__Photobacterium sanctipauli\",\"g__Photobacterium;s__Photobacterium swingsii\",\"g__Salinivibrio;s__Salinivibrio socompensis\",\"g__Vibrio;s__Vibrio anguillarum\",\"g__Vibrio;s__Vibrio breoganii\",\"g__Vibrio;s__Vibrio campbellii\",\"g__Vibrio;s__Vibrio crassostreae\",\"g__Vibrio;s__Vibrio ezurae\",\"g__Vibrio;s__Vibrio fluvialis\",\"g__Vibrio;s__Vibrio furnissii\",\"g__Vibrio;s__Vibrio genomosp. F10\",\"g__Vibrio;s__Vibrio harveyi\",\"g__Vibrio;s__Vibrio hepatarius\",\"g__Vibrio;s__Vibrio hyugaensis\",\"g__Vibrio;s__Vibrio ishigakensis\",\"g__Vibrio;s__Vibrio maritimus\",\"g__Vibrio;s__Vibrio metoecus\",\"g__Vibrio;s__Vibrio mytili\",\"g__Vibrio;s__Vibrio owensii\",\"g__Vibrio;s__Vibrio pacinii\",\"g__Vibrio;s__Vibrio renipiscarius\",\"g__Vibrio;s__Vibrio rhizosphaerae\",\"g__Vibrio;s__Vibrio scophthalmi\",\"g__Vibrio;s__Vibrio sp. ECSMB14105\",\"g__Vibrio;s__Vibrio sp. MEBiC08052\",\"g__Vibrio;s__Vibrio tasmaniensis\",\"g__Vibrio;s__Vibrio tritonius\",\"g__Vibrio;s__Vibrio variabilis\",\"g__Vibrio;s__Vibrio xiamenensis\",\"g__Vibrio;s__uncultured Vibrio sp.\",\"g__Dyella;s__Dyella jiangningensis\",\"g__Dyella;s__Dyella thiooxydans\",\"g__Frateuria;s__Frateuria aurantia\",\"g__Frateuria;s__Frateuria sp. Soil773\",\"g__Oleiagrimonas;s__Oleiagrimonas soli\",\"g__Rhodanobacter;s__Rhodanobacter spathiphylli\",\"g__Luteimonas;s__Luteimonas huabeiensis\",\"g__Lysobacter;s__Lysobacter antibioticus\",\"g__Lysobacter;s__Lysobacter dokdonensis\",\"g__Pseudoxanthomonas;s__Pseudoxanthomonas dokdonensis\",\"g__Pseudoxanthomonas;s__Pseudoxanthomonas mexicana\",\"g__Pseudoxanthomonas;s__Pseudoxanthomonas suwonensis\",\"g__Stenotrophomonas;s__Stenotrophomonas rhizophila\",\"g__Xanthomonas;s__Xanthomonas citri\",\"g__Xanthomonas;s__Xanthomonas fuscans\",\"g__Xanthomonas;s__Xanthomonas hyacinthi\",\"g__Xylella;s__Xylella fastidiosa\",\"g__Xylella;s__Xylella taiwanensis\",\"g__Mariprofundus;s__Mariprofundus ferrooxydans\",\"g__Unclassified;s__Zetaproteobacteria bacterium TAG-1\",\"g__Brachyspira;s__Brachyspira innocens\",\"g__Brachyspira;s__Brachyspira intermedia\",\"g__Spirochaeta;s__Spirochaeta africana\",\"g__Spirochaeta;s__Spirochaeta alkalica\",\"g__Spirochaeta;s__Spirochaeta lutea\",\"g__Treponema;s__Treponema caldarium\",\"g__Treponema;s__Treponema sp. RIFOXYC1_FULL_61_9\",\"g__Leptospira;s__Leptospira alexanderi\",\"g__Leptospira;s__Leptospira inadai\",\"g__Leptospira;s__Leptospira kirschneri\",\"g__Leptospira;s__Leptospira meyeri\",\"g__Leptospira;s__Leptospira santarosai\",\"g__Leptospira;s__Leptospira terpstrae\",\"g__Leptospira;s__Leptospira vanthielii\",\"g__Unclassified;s__Spirochaetes bacterium DG_61\",\"g__Unclassified;s__Spirochaetes bacterium GWB1_66_5\",\"g__Unclassified;s__Spirochaetes bacterium GWC1_27_15\",\"g__Unclassified;s__Spirochaetes bacterium GWF1_51_8\",\"g__Unclassified;s__Spirochaetes bacterium RBG_13_68_11\",\"g__Unclassified;s__Spirochaetes bacterium RBG_16_49_21\",\"g__Unclassified;s__Spirochaetes bacterium RIFOXYB1_FULL_32_8\",\"g__Acetomicrobium;s__Acetomicrobium hydrogeniformans\",\"g__Acetomicrobium;s__Acetomicrobium mobile\",\"g__Aminiphilus;s__Aminiphilus circumscriptus\",\"g__Aminomonas;s__Aminomonas paucivorans\",\"g__Thermanaerovibrio;s__Thermanaerovibrio acidaminovorans\",\"g__Unclassified;s__Synergistales bacterium 54_24\",\"g__Acholeplasma;s__Acholeplasma laidlawii\",\"g__Acholeplasma;s__Acholeplasma modicum\",\"g__Acholeplasma;s__Acholeplasma palmae\",\"g__Mesoplasma;s__Mesoplasma florum\",\"g__Spiroplasma;s__Spiroplasma apis\",\"g__Spiroplasma;s__Spiroplasma cantharicola\",\"g__Spiroplasma;s__Spiroplasma helicoides\",\"g__Mycoplasma;s__Candidatus Mycoplasma girerdii\",\"g__Mycoplasma;s__Mycoplasma agalactiae\",\"g__Mycoplasma;s__Mycoplasma buteonis\",\"g__Mycoplasma;s__Mycoplasma canis\",\"g__Mycoplasma;s__Mycoplasma gallinarum\",\"g__Mycoplasma;s__Mycoplasma hyosynoviae\",\"g__Mycoplasma;s__Mycoplasma leonicaptivi\",\"g__Mycoplasma;s__Mycoplasma ovipneumoniae\",\"g__Unclassified;s__Tenericutes bacterium GWC2_39_45\",\"g__Thermodesulfobacterium;s__Thermodesulfobacterium hydrogeniphilum\",\"g__Kosmotoga;s__Kosmotoga arenicorallina\",\"g__Kosmotoga;s__Kosmotoga pacifica\",\"g__Mesotoga;s__Mesotoga infera\",\"g__Mesotoga;s__Mesotoga prima\",\"g__Mesoaciditoga;s__Mesoaciditoga lauensis\",\"g__Geotoga;s__Geotoga petraea\",\"g__Marinitoga;s__Marinitoga piezophila\",\"g__Marinitoga;s__Marinitoga sp. 1197\",\"g__Fervidobacterium;s__Fervidobacterium nodosum\",\"g__Fervidobacterium;s__Fervidobacterium thailandensis\",\"g__Pseudothermotoga;s__Pseudothermotoga hypogea\",\"g__Pseudothermotoga;s__Pseudothermotoga thermarum\",\"g__Thermotoga;s__Thermotoga caldifontis\",\"g__Thermotoga;s__Thermotoga maritima\",\"g__Thermotoga;s__Thermotoga naphthophila\",\"g__Unclassified;s__Thermotogales bacterium 46_20\",\"g__Unclassified;s__Candidatus Melainabacteria bacterium GWF2_32_7\",\"g__Unclassified;s__Candidatus Melainabacteria bacterium MEL.A1\",\"g__Unclassified;s__Microgenomates group bacterium GW2011_GWA2_46_16\",\"g__Unclassified;s__Parcubacteria group bacterium GW2011_GWA1_36_12\",\"g__Unclassified;s__Parcubacteria group bacterium GW2011_GWA2_43_17\",\"g__Unclassified;s__Parcubacteria group bacterium GW2011_GWA2_43_9b\",\"g__Unclassified;s__Parcubacteria group bacterium GW2011_GWA2_47_10\",\"g__Unclassified;s__Parcubacteria group bacterium GW2011_GWA2_47_64\",\"g__Unclassified;s__Parcubacteria group bacterium GW2011_GWA2_49_9\",\"g__Unclassified;s__Parcubacteria group bacterium GW2011_GWB1_35_5\",\"g__Unclassified;s__Parcubacteria group bacterium GW2011_GWB1_43_8\",\"g__Unclassified;s__Parcubacteria group bacterium GW2011_GWD2_40_9\",\"g__Unclassified;s__bacterium 42_11\",\"g__Unclassified;s__bacterium A52C2\",\"g__Unclassified;s__bacterium JKG1\",\"g__Unclassified;s__bacterium L21-Spi-D4\",\"g__Unclassified;s__bacterium SCN 57-13\",\"g__Unclassified;s__bacterium SIT6\",\"g__Unclassified;s__bacterium SM23_31\",\"g__Unclassified;s__candidate division KSB1 bacterium RBG_16_48_16\",\"g__Unclassified;s__candidate division TA06 bacterium 32_111\",\"g__Unclassified;s__candidate division TM6 bacterium GW2011_GWE2_41_16\",\"g__Unclassified;s__candidate division TM6 bacterium Zodletone_IIa\",\"g__Unclassified;s__candidate division WOR_1 bacterium DG_54_3\",\"g__Unclassified;s__candidate division WS6 bacterium GW2011_GWF1_36_8\",\"g__Unclassified;s__uncultured bacterium 1i11\",\"g__Unclassified;s__uncultured bacterium 21f12\",\"g__Unclassified;s__uncultured bacterium 22g15\",\"g__Unclassified;s__uncultured bacterium 2M03\",\"g__Unclassified;s__uncultured bacterium 34R1\",\"g__Unclassified;s__uncultured bacterium 4L05\",\"g__Unclassified;s__uncultured bacterium 4h09\",\"g__Unclassified;s__uncultured bacterium 52B7\",\"g__Unclassified;s__uncultured bacterium Ad_113_I18_contig2\",\"g__Unclassified;s__uncultured bacterium CSL12\",\"g__Unclassified;s__uncultured bacterium Contig1474_n_1484_cl\",\"g__Unclassified;s__uncultured bacterium Contig1477\",\"g__Unclassified;s__uncultured bacterium Contig15\",\"g__Unclassified;s__uncultured bacterium Contig1514\",\"g__Unclassified;s__uncultured bacterium Contig1578\",\"g__Unclassified;s__uncultured bacterium Contig1584b\",\"g__Unclassified;s__uncultured bacterium Contig1753\",\"g__Unclassified;s__uncultured bacterium Contig1773\",\"g__Unclassified;s__uncultured bacterium Contig224\",\"g__Unclassified;s__uncultured bacterium Contig46\",\"g__Unclassified;s__uncultured bacterium Contig54\",\"g__Unclassified;s__uncultured bacterium Contig783\",\"g__Unclassified;s__uncultured bacterium Contig87\",\"g__Unclassified;s__uncultured bacterium Contigcl_1493\",\"g__Unclassified;s__uncultured bacterium Contigcl_1523\",\"g__Unclassified;s__uncultured bacterium Contigcl_1787\",\"g__Unclassified;s__uncultured bacterium Contigcl_30\",\"g__Unclassified;s__uncultured bacterium Contigcl_51\",\"g__Unclassified;s__uncultured bacterium Contigcl_6\",\"g__Unclassified;s__uncultured bacterium Contigcl_7\",\"g__Unclassified;s__uncultured bacterium Contigcl_8\",\"g__Unclassified;s__uncultured bacterium Csd4\",\"g__Unclassified;s__uncultured bacterium DCM001Kan07\",\"g__Unclassified;s__uncultured bacterium DCM007Kan03\",\"g__Unclassified;s__uncultured bacterium DCM008Kan04\",\"g__Unclassified;s__uncultured bacterium F2_16\",\"g__Unclassified;s__uncultured bacterium IN-04\",\"g__Unclassified;s__uncultured bacterium Lq_025_E06\",\"g__Unclassified;s__uncultured bacterium contig00003(2014)\",\"g__Unclassified;s__uncultured bacterium fosmid pJB102C1\",\"g__Unclassified;s__uncultured bacterium fosmid pJB135F11\",\"g__Unclassified;s__uncultured bacterium fosmid pJB154B8_contig I\",\"g__Unclassified;s__uncultured bacterium fosmid pJB39A3\",\"g__Unclassified;s__uncultured bacterium fosmid pJB77G10\",\"g__Unclassified;s__uncultured bacterium fosmid pJB89E1\",\"g__Unclassified;s__uncultured marine bacterium\",\"g__Unclassified;s__uncultured marine bacterium MedDCM-OCT-S04-C191\",\"g__Unclassified;s__uncultured pig faeces bacterium\",\"g__Cephaloticoccus;s__Cephaloticoccus capnophilus\",\"g__Cephaloticoccus;s__Cephaloticoccus primus\",\"g__Unclassified;s__Opitutaceae bacterium BACL24 MAG-120322-bin51\",\"g__Unclassified;s__Verrucomicrobia bacterium N20\",\"g__Unclassified;s__Verrucomicrobia bacterium GWF2_62_7\",\"g__Unclassified;s__Verrucomicrobia bacterium SCGC AAA164-O14\",\"g__Unclassified;s__Verrucomicrobia bacterium SCGC AAA168-F10\",\"g__Unclassified;s__Verrucomicrobia bacterium SCN 57-15\",\"g__Akkermansia;s__Akkermansia sp. KLE1798\",\"g__Rubritalea;s__Rubritalea marina\",\"g__Verrucomicrobium;s__Verrucomicrobium sp. BvORR106\",\"g__Unclassified;s__candidate division NC10 bacterium CSP1-5\",\"g__Unclassified;s__candidate division WOR_3 bacterium SM23_42\",\"g__Unclassified;s__candidate division WWE3 bacterium GW2011_GWE1_41_27\",\"g__Unclassified;s__candidate division WWE3 bacterium RIFOXYD1_FULL_39_9\",\"g__Lasiodiplodia;s__Lasiodiplodia theobromae\",\"g__Parastagonospora;s__Parastagonospora nodorum\",\"g__Tuber;s__Tuber melanosporum\",\"g__Lipomyces;s__Lipomyces starkeyi\",\"g__Colletotrichum;s__Colletotrichum gloeosporioides\",\"g__Colletotrichum;s__Colletotrichum tofieldiae\",\"g__Fusarium;s__Fusarium sp. BLB-2006a\",\"g__Fusarium;s__Fusarium sp. FIESC_5\",\"g__Neurospora;s__Neurospora tetrasperma\",\"g__Taphrina;s__Taphrina deformans\",\"g__Phialocephala;s__Phialocephala sp. SA-2015\",\"g__Saitoella;s__Saitoella complicata\",\"g__Moniliophthora;s__Moniliophthora perniciosa\",\"g__Rhizopogon;s__Rhizopogon vinicolor\",\"g__Rhizoctonia;s__Rhizoctonia solani\",\"g__Jaapia;s__Jaapia argillacea\",\"g__Gelatoporia;s__Gelatoporia subvermispora\",\"g__Dacryopinax;s__Dacryopinax primogenitus\",\"g__Tilletia;s__Tilletia walkeri\",\"g__Rhodotorula;s__Rhodotorula toruloides\",\"g__Puccinia;s__Puccinia striiformis\",\"g__Puccinia;s__Puccinia triticina\",\"g__Xanthophyllomyces;s__Xanthophyllomyces dendrorhous\",\"g__Rozella;s__Rozella allomycis\",\"g__Anncaliia;s__Anncaliia algerae\",\"g__Mortierella;s__Mortierella elongata\",\"g__Mortierella;s__Mortierella verticillata\",\"g__Choanephora;s__Choanephora cucurbitarum\",\"g__Absidia;s__Absidia glauca\",\"g__Parasitella;s__Parasitella parasitica\",\"g__Phycomyces;s__Phycomyces blakesleeanus\",\"g__Rhizopus;s__Rhizopus microsporus\",\"g__Conidiobolus;s__Conidiobolus coronatus\",\"g__Bc431virus;s__Bacillus phage BCP8-2\",\"g__Bc431virus;s__Bacillus phage Bcp1\",\"g__Schizot4virus;s__Vibrio phage nt-1\",\"g__T4virus;s__Acinetobacter virus 133\",\"g__T4virus;s__Aeromonas phage Aes508\",\"g__T4virus;s__Synechococcus phage ACG-2014d\",\"g__T4virus;s__Synechococcus phage ACG-2014i\",\"g__Twortvirus;s__Staphylococcus phage Twort\",\"g__Twortvirus;s__Staphylococcus phage phiSA012\",\"g__Unclassified;s__Acinetobacter bacteriophage AP22\",\"g__Unclassified;s__Bacillus phage 0305phi8-36\",\"g__Unclassified;s__Bacillus phage Deep Blue\",\"g__Unclassified;s__Bacillus phage Mater\",\"g__Unclassified;s__Bacillus phage Moonbeam\",\"g__Unclassified;s__Bacillus phage Shbh1\",\"g__Unclassified;s__Burkholderia phage BcepB1A\",\"g__Unclassified;s__Cronobacter phage vB_CsaM_GAP32\",\"g__Unclassified;s__Enterobacteria phage vB_KleM-RaK2\",\"g__Unclassified;s__Lactobacillus phage phiAQ113\",\"g__Unclassified;s__Microcystis phage MaMV-DC\",\"g__Unclassified;s__Morganella phage vB_MmoM_MP1\",\"g__Unclassified;s__Pectobacterium phage phiTE\",\"g__Unclassified;s__Prochlorococcus phage P-HM2\",\"g__Unclassified;s__Pseudomonas phage vB_PsyM_KIL1\",\"g__Unclassified;s__Ralstonia phage RSP15\",\"g__Unclassified;s__Shewanella sp. phage 1_41\",\"g__Unclassified;s__Sinorhizobium phage phiM9\",\"g__Unclassified;s__Staphylococcus phage phiIPLA-C1C\",\"g__Unclassified;s__Streptococcus phage EJ-1\",\"g__Unclassified;s__Synechococcus phage S-CAM8\",\"g__Unclassified;s__Synechococcus phage S-CBM2\",\"g__Unclassified;s__Synechococcus phage S-SSM7\",\"g__Unclassified;s__Synechococcus phage S-ShM2\",\"g__Unclassified;s__Vibrio phage H188\",\"g__N4virus;s__Achromobacter phage phiAxp-3\",\"g__N4virus;s__Dinoroseobacter phage DFL12phi1\",\"g__N4virus;s__Erwinia phage vB_EamP_Frozen\",\"g__N4virus;s__Escherichia phage vB_EcoP_G7C\",\"g__Phi29virus;s__Bacillus virus B103\",\"g__Phi29virus;s__Bacillus virus GA1\",\"g__T7virus;s__Enterobacteria phage EcoDS1\",\"g__Unclassified;s__Bacillus phage MG-B1\",\"g__Unclassified;s__Cellulophaga phage phi14:2\",\"g__Unclassified;s__Cellulophaga phage phi19:3\",\"g__Unclassified;s__Cellulophaga phage phi46:3\",\"g__Unclassified;s__Cronobacter phage Dev-CD-23823\",\"g__Unclassified;s__Edwardsiella phage KF-1\",\"g__Unclassified;s__Pectobacterium phage PP90\",\"g__Unclassified;s__Arthrobacter phage CapnMurica\",\"g__Unclassified;s__Arthrobacter phage Gordon\",\"g__Unclassified;s__Arthrobacter phage Wilde\",\"g__Unclassified;s__Brevibacillus phage Jenst\",\"g__Unclassified;s__Brochothrix phage NF5\",\"g__Unclassified;s__Clostridium phage phi8074-B1\",\"g__Unclassified;s__Clostridium phage phiCP13O\",\"g__Unclassified;s__Clostridium phage vB_CpeS-CP51\",\"g__Unclassified;s__Enterobacter phage phiEap-2\",\"g__Unclassified;s__Enterococcus phage EFRM31\",\"g__Unclassified;s__Escherichia phage Envy\",\"g__Unclassified;s__Gordonia phage GMA6\",\"g__Unclassified;s__Lactobacillus phage Ld25A\",\"g__Unclassified;s__Lactobacillus phage phiPYB5\",\"g__Unclassified;s__Lactococcus phage P118\",\"g__Unclassified;s__Pectobacterium phage My1\",\"g__Unclassified;s__Pseudoalteromonas phage H105_1\",\"g__Unclassified;s__Pseudomonas phage vB_PaeS_PAO1_Ab18\",\"g__Unclassified;s__Rhizobium phage vB_RleS_L338C\",\"g__Unclassified;s__Rhodococcus phage ReqiPepy6\",\"g__Unclassified;s__Rhodococcus phage ReqiPoco6\",\"g__Unclassified;s__Staphylococcus phage 6ec\",\"g__Unclassified;s__Staphylococcus phage pSco-10\",\"g__Unclassified;s__Streptococcus phage YMC-2011\",\"g__Unclassified;s__Vibrio phage jenny 12G5\",\"g__Unclassified;s__Rhodobacter phage RcTitan\",\"g__Iflavirus;s__Dinocampus coccinellae paralysis virus\",\"g__Unclassified;s__Venturia canescens picorna-like virus\",\"g__Ascovirus;s__Trichoplusia ni ascovirus 2c\",\"g__Alphabaculovirus;s__Hemileuca sp. nucleopolyhedrovirus\",\"g__Badnavirus;s__Ambrosia asymptomatic virus 2 UKM-2007\",\"g__Unclassified;s__Golden mussel marseillevirus\",\"g__Pequenovirus;s__Eel River basin pequenovirus\",\"g__Unclassified;s__Gokushovirinae Bog1183_53\",\"g__Unclassified;s__Gokushovirinae Bog5712_52\",\"g__Unclassified;s__Gokushovirinae Fen672_31\",\"g__Unclassified;s__Yellowstone lake phycodnavirus 1\",\"g__Betaentomopoxvirus;s__Mythimna separata entomopoxvirus _L_\",\"g__Leporipoxvirus;s__Myxoma virus\",\"g__Unclassified;s__ANMV-1 virus\",\"g__Unclassified;s__Clostridium phage D-1873\",\"g__Unclassified;s__Clostridium phage phiCT9441A\",\"g__Unclassified;s__Deep-sea thermophilic phage D6E\",\"g__Unclassified;s__Environmental Halophage eHP-30\",\"g__Unclassified;s__Flavobacterium phage FKj-2\",\"g__Unclassified;s__Geobacillus virus E2\",\"g__Unclassified;s__Salmonella phage 64795_sal3\",\"g__Unclassified;s__Skermania phage SPI1\",\"g__Unclassified;s__Vibrio phage vB_VhaS-tm\",\"g__Unclassified;s__uncultured Mediterranean phage uvDeep-CGR0-AD1-C123\",\"g__Unclassified;s__uncultured Mediterranean phage uvDeep1-CGR2-KM23-C896\",\"g__Unclassified;s__uncultured virus\",\"g__Thermofilum;s__Thermofilum pendens\",\"g__Haloferax;s__Haloferax mediterranei\",\"g__Methanolobus;s__Methanolobus tindarius\",\"g__Methanosalsum;s__Methanosalsum zhilinae\",\"g__Microbacterium;s__Microbacterium sp. CQ0110Y\",\"g__Microbacterium;s__Microbacterium sp. HM58-2\",\"g__Timonella;s__Timonella senegalensis\",\"g__Actinoplanes;s__Actinoplanes awajinensis\",\"g__Streptomyces;s__Streptomyces sclerotialus\",\"g__Streptomyces;s__Streptomyces sp. 150FB\",\"g__Thermosulfidibacter;s__Thermosulfidibacter takaii\",\"g__Asinibacterium;s__Asinibacterium sp. OR53\",\"g__Hymenobacter;s__Hymenobacter swuensis\",\"g__Aequorivita;s__Aequorivita sublithincola\",\"g__Arenibacter;s__Arenibacter sp. C-21\",\"g__Chryseobacterium;s__Chryseobacterium antarcticum\",\"g__Chryseobacterium;s__Chryseobacterium sp. P1-3\",\"g__Flavobacterium;s__Flavobacterium tegetincola\",\"g__Leeuwenhoekiella;s__Leeuwenhoekiella blandensis\",\"g__Muricauda;s__Muricauda ruestringensis\",\"g__Muricauda;s__Muricauda sp. CP2A\",\"g__Olleya;s__Olleya sp. ITB9\",\"g__Salinimicrobium;s__Salinimicrobium catena\",\"g__Candidatus Sulcia;s__Candidatus Sulcia muelleri\",\"g__Pedobacter;s__Pedobacter rhizosphaerae\",\"g__Sphingobacterium;s__Sphingobacterium sp. 21\",\"g__Unclassified;s__Bacteroidetes bacterium GWE2_42_39\",\"g__Unclassified;s__Bacteroidetes bacterium GWF2_49_14\",\"g__Unclassified;s__Bacteroidetes bacterium OLB10\",\"g__Unclassified;s__Candidatus Levybacteria bacterium RIFCSPHIGHO2_01_FULL_38_26\",\"g__Unclassified;s__Parcubacteria bacterium C7867-003\",\"g__Unclassified;s__Candidatus Roizmanbacteria bacterium RIFCSPHIGHO2_12_FULL_38_13\",\"g__Unclassified;s__Candidatus Rokubacteria bacterium RIFCSPLOWO2_02_FULL_72_37\",\"g__Waddlia;s__Waddlia chondrophila\",\"g__Prosthecochloris;s__Prosthecochloris aestuarii\",\"g__Unclassified;s__Chloroflexi bacterium RBG_19FT_COMBO_62_14\",\"g__Unclassified;s__Chloroflexi bacterium RIFOXYD12_FULL_57_15\",\"g__Cyanobacterium;s__Cyanobacterium stanieri\",\"g__Chrysosporum;s__Chrysosporum ovalisporum\",\"g__Richelia;s__Richelia intracellularis\",\"g__Desertifilum;s__Desertifilum sp. IPPAS B-1220\",\"g__Geitlerinema;s__Geitlerinema sp. PCC 7407\",\"g__Oscillatoria;s__Oscillatoria acuminata\",\"g__Unclassified;s__filamentous cyanobacterium ESFC-1\",\"g__Myxosarcina;s__Myxosarcina sp. GI1\",\"g__Leptolyngbya;s__Leptolyngbya sp. KIOST-1\",\"g__Leptolyngbya;s__Leptolyngbya sp. O-77\",\"g__Prochlorothrix;s__Prochlorothrix hollandica\",\"g__Pseudanabaena;s__Pseudanabaena sp. _Roaring Creek_\",\"g__Synechococcus;s__Synechococcus sp. PCC 7336\",\"g__Synechococcus;s__Synechococcus sp. PCC 7502\",\"g__Unclassified;s__Elusimicrobia bacterium GWA2_66_18\",\"g__Bacillus;s__Bacillus gottheilii\",\"g__Virgibacillus;s__Virgibacillus sp. SK-1\",\"g__Caryophanon;s__Caryophanon tenue\",\"g__Paenisporosarcina;s__Paenisporosarcina quisquiliarum\",\"g__Lactobacillus;s__Lactobacillus coryniformis\",\"g__Lactobacillus;s__Lactobacillus perolens\",\"g__Streptococcus;s__Streptococcus lutetiensis\",\"g__Streptococcus;s__Streptococcus sp. HMSC078D09\",\"g__Streptococcus;s__Streptococcus sp. HMSC34B10\",\"g__Clostridium;s__Clostridium autoethanogenum\",\"g__Clostridium;s__Clostridium sp. NCR\",\"g__Caviibacter;s__Caviibacter abscessus\",\"g__Unclassified;s__Ignavibacteria bacterium RIFCSPLOWO2_12_FULL_56_21\",\"g__Unclassified;s__Nitrospira bacterium SG8_35_4\",\"g__Unclassified;s__Nitrospirae bacterium GWC2_57_9\",\"g__Asticcacaulis;s__Asticcacaulis benevestitus\",\"g__Aureimonas;s__Aureimonas altamirensis\",\"g__Mesorhizobium;s__Mesorhizobium muleiense\",\"g__Mesorhizobium;s__Mesorhizobium qingshengii\",\"g__Mesorhizobium;s__Mesorhizobium sp. Root552\",\"g__Kaistia;s__Kaistia granuli\",\"g__Tepidicaulis;s__Tepidicaulis marinus\",\"g__Labrys;s__Labrys sp. WJW\",\"g__Falsirhodobacter;s__Falsirhodobacter sp. alg1\",\"g__Rhodobacter;s__Rhodobacter sp. CACIA14H1\",\"g__Roseobacter;s__Roseobacter sp. SK209-2-6\",\"g__Sulfitobacter;s__Sulfitobacter geojensis\",\"g__Asaia;s__Asaia astilbis\",\"g__Skermanella;s__Skermanella aerolata\",\"g__Elioraea;s__Elioraea tepidiphila\",\"g__Novosphingobium;s__Novosphingobium acidiphilum\",\"g__Bordetella;s__Bordetella sp. SCN 68-11\",\"g__Pusillimonas;s__Pusillimonas sp. T7-7\",\"g__Caballeronia;s__Paraburkholderia sordidicola\",\"g__Paraburkholderia;s__Paraburkholderia andropogonis\",\"g__Paraburkholderia;s__Paraburkholderia nodosa\",\"g__Duganella;s__Duganella sp. Root1480D1\",\"g__Janthinobacterium;s__Janthinobacterium agaricidamnosum\",\"g__Sphaerotilus;s__Sphaerotilus natans\",\"g__Ferrovum;s__Ferrovum sp. JA12\",\"g__Ferriphaselus;s__Ferriphaselus amnicola\",\"g__Methylophilus;s__Methylophilus sp. TWE2\",\"g__Aquitalea;s__Aquitalea pelogenes\",\"g__Chitiniphilus;s__Chitiniphilus shinanonensis\",\"g__Eikenella;s__Eikenella corrodens\",\"g__Neisseria;s__Neisseria mucosa\",\"g__Neisseria;s__Neisseria sp. HMSC055H02\",\"g__Neisseria;s__Neisseria sp. HMSC061B04\",\"g__Neisseria;s__Neisseria sp. HMSC066H01\",\"g__Neisseria;s__Neisseria sp. HMSC068C04\",\"g__Snodgrassella;s__Snodgrassella sp. R-53583\",\"g__Nitrosomonas;s__Nitrosomonas marina\",\"g__Azoarcus;s__Azoarcus sp. KH32C\",\"g__Desulfovibrio;s__Desulfovibrio sp. L21-Syr-AB\",\"g__Hippea;s__Hippea sp. KM1\",\"g__Unclassified;s__Deltaproteobacteria bacterium RIFOXYD12_FULL_55_16\",\"g__Unclassified;s__Deltaproteobacteria bacterium RIFOXYD12_FULL_56_24\",\"g__Nautilia;s__Nautilia profundicola\",\"g__Sulfurovum;s__Sulfurovum lithotrophicum\",\"g__Aeromonas;s__Aeromonas media\",\"g__Thioalkalivibrio;s__Thioalkalivibrio sp. ALE16\",\"g__Enterobacter;s__Enterobacter sp. BWH52\",\"g__Enterobacter;s__Enterobacter sp. NFIX09\",\"g__Klebsiella;s__Klebsiella oxytoca\",\"g__Mangrovibacter;s__Mangrovibacter sp. MFB070\",\"g__Unclassified;s__Type-F symbiont of Plautia stali\",\"g__Tatumella;s__Tatumella morbirosei\",\"g__Providencia;s__Providencia stuartii\",\"g__Yersinia;s__Yersinia pestis\",\"g__Legionella;s__Legionella erythra\",\"g__Legionella;s__Legionella spiritensis\",\"g__Methylobacter;s__Methylobacter luteus\",\"g__Nevskia;s__Nevskia soli\",\"g__Endozoicomonas;s__Endozoicomonas sp. ab112\",\"g__Terasakiispira;s__Terasakiispira papahanaumokuakeensis\",\"g__Avibacterium;s__Avibacterium paragallinarum\",\"g__Acinetobacter;s__Acinetobacter soli\",\"g__Acinetobacter;s__Acinetobacter sp. NIPH 284\",\"g__Pseudomonas;s__Pseudomonas batumici\",\"g__Pseudomonas;s__Pseudomonas caeni\",\"g__Pseudomonas;s__Pseudomonas extremorientalis\",\"g__Pseudomonas;s__Pseudomonas sp. BAY1663\",\"g__Pseudomonas;s__Pseudomonas veronii\",\"g__Unclassified;s__Bathymodiolus septemdierum thioautotrophic gill symbiont\",\"g__Unclassified;s__Gammaproteobacteria bacterium RBG_16_51_14\",\"g__Unclassified;s__Gammaproteobacteria bacterium RIFCSPHIGHO2_12_FULL_63_22\",\"g__Vibrio;s__Vibrio sp. OY15\",\"g__Rhodanobacter;s__Rhodanobacter sp. Root561\",\"g__Mycoplasma;s__Mycoplasma arginini\",\"g__Mycoplasma;s__Mycoplasma penetrans\",\"g__Thermodesulfatator;s__Thermodesulfatator indicus\",\"g__Unclassified;s__candidate division TA06 bacterium DG_78\",\"g__Unclassified;s__uncultured marine bacterium EB0_49D07\",\"g__Sugiyamaella;s__Sugiyamaella lignohabitans\",\"g__Calocera;s__Calocera cornea\",\"g__Uromyces;s__Uromyces hobsonii\",\"g__Mitosporidium;s__Mitosporidium daphniae\",\"g__Lichtheimia;s__Lichtheimia ramosa\",\"g__T4virus;s__Aeromonas phage phiAS5\",\"g__Unclassified;s__Bacillus phage BCD7\",\"g__Unclassified;s__Clostridium phage c-st\",\"g__Unclassified;s__Enterococcus phage EFDG1\",\"g__Unclassified;s__Podovirus Lau218\",\"g__Sap6virus;s__Enterococcus phage VD13\",\"g__Unclassified;s__Bacillus phage vB_BanS-Tsamsa\",\"g__Unclassified;s__Gordonia phage GTE2\",\"g__Alphabaculovirus;s__Hyphantria cunea nucleopolyhedrovirus\",\"g__Potyvirus;s__Bean common mosaic virus\",\"g__Potyvirus;s__Telosma mosaic virus\",\"g__Unclassified;s__Freshwater phage uvFW-CGR-AMD-COM-C203\"],\"xaxis\":\"x\",\"y\":[3.872071397474532,3.837312408890709,3.860267134609956,3.402882488121218,3.5248199610909507,3.3505116873079643,3.8414724623440524,3.0557606067667997,3.738422833450428,3.8373568292877978,3.2545225975118095,3.6989140801266607,2.665873244601232,2.6399782037486657,3.752530346737757,3.518093707839785,2.765506764525514,3.474690360288409,3.792563672351905,3.760383492556798,3.4013301480767506,3.0291905118088973,3.765288795387079,3.695253787614624,3.4607859967679944,3.095903300157256,3.030939111232472,3.213483156264173,3.608095464359736,3.4131989695411384,3.8268565732821087,3.4333968257335297,3.8193914629653807,2.8657098273061803,2.6425705392104155,2.835995786376592,3.062627697791888,3.362515870532917,2.994596698007332,3.6110249509902577,3.5375790531531894,3.5549091760418414,3.1306980128722492,2.428927323278189,3.8117018442052863,2.6384908657056454,3.202055611047248,2.601101179528355,3.4913907458253925,3.581354409337561,2.6073913569829323,2.0595078290654194,2.4122103810256235,2.4277145462065324,3.579327723170246,3.7829784220544997,3.706315716880585,3.820285497025666,3.4571459226681,3.7311889140171908,2.0013817600257937,3.863596280106621,3.7480406247419213,3.8357801188773686,3.8212530062872525,2.217574800202751,2.4689986601151817,3.2175014348598725,2.6563874067500537,3.129270821457119,3.7592244337551137,3.5140656636322993,3.848650478677014,3.5436031623699153,3.7044258643583765,3.1026678181861245,3.297953264181779,3.2635666061675734,3.8691239882597848,3.7423428797262086,3.84549341605988,3.6019837944074578,3.297500968925088,3.8577116439668706,3.460743298794289,2.2536055539729576,3.7715544551614215,3.6795937183640115,3.3197359814935665,3.861092748207502,3.455126564301511,3.631494793117017,3.804672439352174,3.1141226919638925,3.648533500873239,3.7177641348712998,3.6867081236125427,3.2746702494077824,3.6045726175351707,3.1524075882874105,3.781044357278352,2.4963143532081573,3.859042339414434,3.272953565214562,3.828344698846735,3.45050700629282,3.2742071445902567,3.631902870005173,3.684556317896903,3.699569708528955,3.0937204046762425,3.5770959889917653,3.7771351254243526,3.5108413968288805,3.765130624221578,3.8772476236760407,3.375452108533022,3.8280876298493025,2.794201976856384,3.61682442859237,3.1350980547095233,3.357455419988976,3.843435104246013,3.7937933756152695,3.3682758834771875,3.785916159439037,3.493875798644347,3.4714933498262335,3.4705021181603,3.7095133086500525,3.560994896986241,2.7442470485508985,3.838644188511807,3.5651415205491803,3.429771552472893,3.7807786925261637,3.4221135216740683,3.091270256136885,3.3025746332438244,2.73661921322237,2.990643714545729,3.7211237642014034,3.3321892775607,2.407246551871759,3.681619480362964,3.777513761223592,3.4204835697799614,3.2854329156860573,2.744312531569043,3.5241436800155848,3.0141501969205624,3.487314380285871,3.6619072542413758,3.0393074235203454,2.7628272689535573,3.1493681079464935,3.8075086153977264,3.8471120424550276,3.636595274873585,3.0439083165184906,3.7553701613854416,3.817835799526571,3.8563799305470035,3.8506670619354453,3.7425133597282274,3.7979441094059947,3.721455575293986,2.6952799352656336,3.817156343605218,3.6773522952336495,3.654732743628465,3.6263085084303026,3.8382087218867973,3.0699484459000295,3.779734399860412,3.2519203745330447,3.578398007444672,3.032318428636551,3.459898988910032,3.7485809676736923,3.6526083625291865,3.2262463638032353,3.417431478406409,3.303631844959341,3.5260880963880874,3.865679164339238,3.7208124401040865,3.8194183239750132,2.325044936470006,3.8247454611333036,3.727844983910588,3.750260046808296,3.86396152233566,3.850649500496665,3.8017851176106943,3.795055946736265,3.636828942625605,2.4251961979639303,3.876647046693464,3.707433978563937,3.443704300092441,3.0996733294918064,3.815395059778343,3.66572403573423,2.796531896592771,3.328924565546739,3.8602284635054978,3.364333805030259,2.5768663089362245,3.806910916969828,3.1438568275083436,3.8038482640470446,3.5663273017455324,3.404524683865744,3.629645404976647,3.750916973049535,3.524009325846017,3.385182363899956,3.386830830295083,3.3288884144383584,3.8066179809437455,3.754443614193739,3.6285667325450683,3.5276532761302133,3.778463226062715,3.0599229255464278,3.8477576379447402,3.801029194391163,3.5992561665063496,3.841318235447514,3.8298591029281654,3.473070333063388,3.611203609653355,3.531344354487953,3.710599788961875,3.5632394252925117,3.804445820173007,3.767141543563934,3.5160596010664027,3.1907692554075617,3.3169984863551094,3.767374671798084,3.6128991529071586,3.4210821597512697,3.6810134867420774,3.766140686316381,3.8193970377594413,3.7756313965949664,2.738966486381231,3.6856361878616988,3.672975091566627,3.8045717959469276,3.4440274633099768,3.79939776155715,3.8509288815233624,3.6574095878741115,3.2303809177068485,3.4773696538454386,3.370034183852788,3.674167977637695,3.8618176618006888,3.872388537779507,3.2301267663982913,3.8313288789094377,3.7808742184061246,3.837060465951155,3.674987879936073,3.61501020820713,3.025875340994585,3.6387622106983617,3.82999825302192,3.2798235542855423,2.914010944907128,3.5468863334309417,3.733026435174789,3.7465197983472986,3.74895768386353,3.725014529669852,3.851041220594617,3.852266630461668,2.8467362107604095,3.826320173779134,3.7832522042168253,3.7667215869979476,3.69877153244164,3.8129038608219186,3.679876865668432,3.831632645285099,3.2732681573309885,3.721901509713767,3.6950957325492335,3.6011578878725135,3.8109179418786194,3.616428056389222,3.574321698280167,3.8220773460477955,3.753687998410498,3.8145495554330395,3.842151017768613,3.8768709981223317,3.6547964310984127,3.445787342269772,3.6685198109163752,3.7877404540502257,3.7037586953855044,3.4827365387417326,3.809366797344191,3.85871052485799,3.3845195564682546,3.657924822999032,2.5119563713806814,3.3880589084589947,3.608249316959783,3.8079338364726576,3.7409920304326763,3.5045898034702843,3.8348032128755025,3.4810276827071718,3.752793871258184,3.70750221837109,3.22654412066531,3.3163064086164806,3.7838029958441695,3.68152943177544,3.6784455249100394,3.6405142263103607,2.5702900940629547,3.5472721903827553,3.814093356466633,3.822538634612154,3.8581696315710414,3.722688552404061,3.843697470100103,3.707963576150604,3.6256478091444846,3.5302149306211894,3.784286882922833,3.6684381705568447,3.174744055063724,3.1976669587304385,3.688705497790179,3.8582985491637496,3.7181552675091227,3.2526071464777577,3.6917823636992275,3.8428800183952476,2.8771241232172384,3.7048437206353397,3.363612942883272,3.309822729365921,3.783198269551111,3.8123154100711236,3.745056680171612,3.8157474107255456,3.585892639768229,3.867608032783135,3.2117505449954344,3.784327580268354,3.566411329820544,3.838065575743816,3.034141137264811,3.8044224420093142,3.8607076471731077,3.7550907203895956,3.5644194060665497,3.6267516830203834,3.757119459713923,3.7858991099489256,2.608405832393756,3.8013874417318028,3.734377905547824,3.362460033688415,3.5858223705309697,3.766690254404263,3.76182462784398,3.710764166166809,3.762436047528174,3.7551936897859846,3.8506320215118457,3.5275183360889906,3.77460561898587,3.698991597636577,3.847958308945583,3.676534465928215,3.7430191270413427,3.858705250980592,3.6647941034233718,3.7496006733227314,3.6003831283507974,3.863082874674428,3.420125742074986,3.3956222503170386,2.7586842383684766,3.6767798680657076,3.7607612811382642,3.787964970462249,3.753586539321581,3.6666003251505725,3.8536565291203706,3.6950182057267,3.7354337601102494,3.3880981754125665,3.811744674666395,3.814991369424238,3.814807323682192,3.8336501205190414,3.63485095939833,3.829204415670584,3.8443751679409464,3.600521480887004,3.8223489078443396,3.764373206848855,3.85487266623602,3.728212270678064,3.820020970928091,3.6736757306070085,3.703888741958124,3.730810717547196,3.8382421580617536,3.5822244218314125,2.869926381658795,3.606310834569866,3.2060944846328887,3.8559892254022623,3.6593820426749573,3.837157874698393,3.495489834349131,3.721770557742203,3.585317020929135,3.840286983996252,3.825680846260072,3.8294125423672747,3.7585008968452134,3.0048821272311113,3.7932879412983938,3.5026150683415684,3.8333716370188005,3.665273611316514,3.7865761443967774,3.8405777531706717,3.719926444702378,3.7970196021530644,3.865664424436938,3.850877101258395,2.917259751561131,3.8482030311068995,3.836862371595147,3.4642889795798433,3.7923270062551047,3.8376678433892057,3.8281642234363282,3.819606054644857,3.849460915217275,3.562936023075902,3.4277164016101263,2.7850383514876293,3.848510251636161,3.8248941961914844,3.8505237298303236,3.6150290126774616,3.6036524047394134,3.4777388478151496,3.8256873643610665,3.849862008086937,3.8333276794257607,3.796262398432139,3.8098995919473144,3.492486352968023,3.6969092132366534,3.634632616981693,3.68014136144229,3.5432473466581826,3.636919195270802,3.842726300936858,3.625481982786401,3.7697953334920165,3.8499349252176414,3.846347223055852,3.7146302050888234,3.853957966084458,3.8105534302574884,3.1860618376667187,3.761128623268939,3.5929177490542514,3.7131964001241897,3.8447184701016677,3.6287727050905554,3.8268187567476915,3.6714012001789107,3.4667317755581277,3.83436734564419,3.6277785731693664,3.305619359225109,3.3950610250909086,3.8495519246055303,2.6136026415622506,3.549132855140654,3.4598252243230108,3.8569341114061206,3.860472640114841,3.8538154936621476,3.3373336924864283,3.7209084928241842,3.7024495226031324,3.84721719353751,3.8470357081996776,3.3416164578928833,3.8196924287619036,3.8224657885597013,3.853327154628108,3.7113576457562383,3.677808695284661,3.822206083765743,3.80115820851603,3.8441940085471105,3.675685994262535,3.843932119263713,2.7498074169961577,3.863878594909861,3.7164013472775563,3.8432998900811577,3.647843508328196,3.7859767231032504,3.7892877720524725,3.586401893983177,3.8485755653865232,3.389728556549219,3.852034309185064,3.3560250919098378,3.8267531138786075,3.8574828326049104,3.606898599057069,3.7592298490411276,3.4921813527585988,3.8155647195102973,3.77089635533948,3.843254752051596,3.198366816556205,3.8338171212143566,3.8007711027940863,3.7067662500289615,3.8330152630353203,3.2774858485316734,3.839191520314582,3.5540769164947568,3.852571982682262,3.7669051318009887,3.660566884547836,3.836977550422769,3.6185438053082697,3.7812609488869158,3.659496320155177,3.572041626318429,3.8514185028260104,3.8350327399221342,3.8133430492665483,3.8380643355326605,3.7693749251047897,3.1998317779354113,3.5418707224434307,3.802317762868361,3.8626896739525334,3.822532488944955,3.8357247361060702,3.8324737335677366,3.783199221739485,3.8362213467589887,3.805190168894763,3.83009618345995,3.804357165132137,3.5729385822513042,3.6755133681396157,3.7859478678253686,3.738363193040978,3.7951584357721404,3.016839645837024,3.8335248974712948,3.2584408218239935,3.7803148328307636,3.507834138758363,3.5237754245172903,3.511700381229963,3.305976633263168,3.6726984221950247,3.4698115261998814,3.4493237267696153,3.851787520727151,3.8518706977600408,3.841357994161199,3.683062534202259,3.641907184243894,3.5339093154496024,3.5737594200854677,3.821911145212445,3.8106980140542066,3.8359620775671,3.8116700028732113,3.731381896656369,3.6313563382299923,3.8402601360415707,3.861832347408061,3.85708916531183,3.8468931614937754,3.733322800446742,3.3109920119692844,3.712023356029533,3.7601124969835626,3.825543202765913,3.6240882161752985,3.8158555950347885,3.3839567938225774,3.85447180847801,3.8666750733955553,3.821590610788084,3.826861493116928,3.8529270071027897,3.682864422249023,3.482861525209481,3.838244444770123,3.801592505998735,3.7788618960930327,3.827241425207857,3.420196790503855,2.635927430893514,2.6602174153905627,3.2417295512210247,1.584962500721156,3.579566395869605,3.2852169839610244,3.4089693418054643,2.682615348777767,3.3613900414649898,3.8387417422581174,3.8221930001475033,3.7452124931636774,3.543671593214091,3.8452245222235146,3.7631603711526234,3.846970427049567,3.8365212056802047,3.7941409615508968,3.7243903961643885,3.863445692504641,2.81110917512406,3.578502692250854,3.7452222999242912,3.670637365667526,3.824023396124651,2.824536494765784,3.798698677890381,3.506285636259812,3.7431318921314403,3.693578895387508,3.594790387969418,3.6743570563678754,3.78878168195101,3.354536265744893,3.7892050324152167,3.8668736504812755,3.831171870869279,3.7253586507179404,3.834693841717553,3.4886333166885497,3.3642275898843765,3.1212173321125998,3.752834471065186,3.733958158275568,3.4862404362911255,3.0535322666085003,3.7858981503686824,3.77307613592069,3.823339668344545,3.80619942032304,3.737265284216509,3.5894025139276224,3.7999708949574833,3.8230927162216535,3.771844831259556,3.8316259358744476,3.329240146569364,3.5838106177899003,3.5576503021117527,3.8425889120111463,3.761438554522775,3.728764668555236,3.583000966381994,3.2980953307905065,3.7582808964417613,3.8182261305025955,3.810842429247919,3.791733878261921,3.7798016362420874,3.8335547015765123,3.153026578114399,3.727801903772331,3.5837686921831744,3.168351408610917,3.1869496885084923,3.5306044373881553,1.9182958340544896,3.8148380616383566,3.610006595514874,3.6559971582879065,3.781727415921163,3.835813934880037,3.7169227006443006,3.399782560761039,3.473021405021518,3.759651200750356,3.83138077957582,3.83260282268959,3.809193843130047,3.7750615767302578,3.8344483725035157,3.818980922871081,3.6799903447754105,3.853749970743596,3.581414171349349,2.9141648914063674,2.847421032224671,2.8611732139286743,3.8343242560585913,3.714462058331596,3.734711972942784,3.2278629082265673,3.847376465807095,3.8442824963783253,3.8443663032531425,3.8033195595034717,3.8435950147667772,3.8347056996551845,3.8674014373690797,3.8581256384075613,3.814337830026927,3.773858712047617,3.815697966625005,3.7540076935953484,3.8472500158022696,3.8598170316040354,3.589954659945865,3.7043023032266356,3.474924560466174,3.535677378038458,3.3528329368135172,2.910134330723136,2.197252395529623,3.613643311971874,3.843443126062751,3.861191837882432,3.84217752792676,3.7311619777461655,3.4955543305150862,3.7907244354929697,3.763332078844484,3.515057979155071,3.605796691251827,3.7722505975492173,3.7106463441250086,3.7520954037386773,3.5645174255276664,3.650979327856128,3.690740357358255,3.4949490268298287,3.466804440362531,3.3444445731325967,3.7730797231854454,3.799586634885228,3.8354260894605816,3.8307509361272465,3.847459719384252,3.3491440837365114,3.028477045295748,3.7633611069538864,3.835835813187133,3.832013531385831,3.694562834718349,3.433479162031668,3.7357745256094255,3.7839400668105028,3.613382823718585,3.4278745688822796,3.7425077044500457,3.810547275657265,3.259844275325264,3.7674530972096356,3.790998321569588,3.798118469641369,3.8498376843748234,3.8265283223799993,3.8162757641103293,3.7773805345905456,3.810582078836465,3.6827444225381587,3.0203045287582024,3.2933587726093374,2.763037867273751,3.0829090747152748,3.6855235693149226,3.6452577552112264,3.184649126111851,3.5558911016861776,3.4969173353398486,3.6863111253698273,3.8063543514353446,3.7788727831847235,3.837132445468695,3.7622495252745445,3.8199625041129344,3.7818958688260387,3.7877713643440867,3.803425544526052,3.7799424542904316,3.7564455280112004,3.8461979208145785,3.765914129723952,3.7970321980065154,3.7496965590584246,3.7213925401726065,3.7845973637062147,3.6718376720895844,3.7986221361431802,3.272372711598902,2.9759793739750493,3.7859290350984933,3.8181936470349327,3.6472256032185046,2.8644817253484365,3.583294826505578,3.495711463841128,3.8013283164554115,3.551910138631602,3.7925241994931356,3.7952824141942614,3.8202968410981017,3.8190946730419673,3.5534087861004973,3.6822196589732057,3.7560281775710505,3.76264132910339,3.7822031704239842,3.7932589637749223,3.745871536617274,3.700232693479869,3.653852433628692,3.2436115100487606,3.5702657937235522,3.4952400779485426,3.5983922718685903,3.7649245224708237,3.6009986095788067,3.6671442896735207,3.7091806425631773,3.6115952718545876,3.634049315101633,3.5995233854100555,3.637387473858678,3.652290376304005,3.2523452787935456,3.617998362031119,3.794983762683908,3.797524148080229,3.1173450904750895,3.3054521722178243,3.830650567429427,3.801650807031506,3.804574106159394,3.7277927043668577,3.812323392652228,3.815121294216875,3.7454051093090936,3.5238731593725823,3.796602108683074,3.8182076040735553,3.8014733816924937,3.6967134166557085,3.8021143620494975,2.7695158002773197,3.7630239307323796,3.5847585742369894,3.625534020675738,3.820016008501283,3.761080507190726,3.6582202502771803,3.8023059933652146,3.8497529931193797,3.731174835280552,3.7370446075974244,3.7818425733298024,3.7720695955906733,3.782076018698608,3.7987103739926447,3.8382817161156852,3.7032326056464506,3.7648360549728705,3.793102125298333,3.7503345279892364,3.715301476697755,3.7472655425653123,3.7970272084389083,3.4534637277299574,3.7874380147688944,3.800344698095475,3.6700761673241904,3.530066601357461,3.834511293991299,3.630347629841251,2.581277943702962,3.6519130290836617,3.80394524224721,2.9474672793890506,2.692462367587893,3.5802718571623706,3.0382939329295446,3.392852369079776,3.7889642693323324,3.746257019095271,3.69162814831389,3.71384513571687,3.8146460661883808,3.150402331151222,3.7771139028031278,3.779342431633006,3.7337851221495555,3.700409723752291,3.821539064490162,3.8279942890474694,3.8321714769172766,3.616524675984399,3.7688907422149036,3.7964778512291795,3.7223291145327586,3.7500636633525892,3.570611842048058,3.4567178781578036,3.755353162800511,3.8670707179217123,3.618748112534864,3.64367460226261,3.6874837331535537,3.753014833792568,3.5549530244378205,3.5870037859811785,3.731664983003021,3.2311375007173897,3.591143248691228,3.45923396722489,3.7904008317672178,3.3723567414475424,3.539890312037677,3.4753607511711717,3.6699767358878628,3.638547037553146,3.753052552648718,3.8351152100167134,2.8353125297841926,3.847047612858354,3.787573931352439,3.3495266438648224,3.195896465718403,3.738476183057405,3.8332651600835908,3.771856638855868,3.784403724995453,3.782302630930595,3.666011411733253,3.7795412801126305,3.7421084707954795,3.8247020079910254,3.749080334613451,3.796822067396309,3.716529895243478,3.7731630331451917,3.7548164306650285,3.772676753015722,3.72052319835284,3.2996274136452795,3.796369531337697,3.7999948389456266,3.6530293512994128,3.7099699850439993,3.72565673009501,2.864696246649594,2.9603342791916707,3.696023515175211,3.610935129383782,3.706484131827102,3.6904023445684095,3.8452995495962847,3.4936927775851596,3.779485063044045,3.5992185587212706,3.660034934509958,3.6825812611558155,3.641860503723677,3.656793469092517,3.303053306617242,3.756688258351205,3.7956039039975744,3.829519903149374,3.8035758870743823,3.4759801777621986,3.7225893807303345,3.8386408131465233,3.776142540108659,3.827437852357959,3.832605791660272,3.7957195947697873,3.823113873022833,3.634950404957659,3.666835520521396,3.4228944832006922,3.6524263330672535,3.7581363794058302,3.781451534064275,3.741768756498178,3.6984422907005206,3.8180879722948156,3.4558381769947055,3.3220836919331402,2.6754404823128772,2.4223844580064577,3.54074329247236,3.48565552111342,3.5550610605364357,3.7446419654720264,2.966876090570221,2.7609859496938305,3.680784982848069,3.15447183404667,3.4105920720342535,3.6502125726831682,3.647194078675281,3.803494259943908,3.7884507156606557,3.7438579314520846,1.7314614963616608,3.7111726965181924,3.701740819560486,3.7798450830632015,3.7511142192280738,3.8160358830569616,3.827633225554324,3.4002685479466326,3.7895216809387313,3.7797438338882183,3.7644894337193295,3.761378677816073,3.724544081257878,3.722707385743677,3.691871689783965,3.7918701782476316,3.502116315194843,3.829317305525621,3.685034152269691,3.793570883278477,3.7716281018983855,3.7666499850456323,3.671482805119253,3.753400300508436,3.8053690232428914,3.73535524909586,3.7551449487995683,3.717908925832932,3.6181781347291873,3.707464735554265,3.6837475754889115,2.8561868724307704,3.0095618253874266,3.6230245644234103,3.378623981859152,3.768634832857773,3.390506980496592,3.3942116696919564,2.3378896247999945,3.38075594918818,3.4618044653800717,3.708172780127287,2.8085720706533697,3.6545434473744587,3.6179961347830747,3.6197173995613117,3.5818987203810346,3.6013462514164187,3.587807842478601,3.4106000177365803,3.5070620276076587,3.4674089461023914,3.572930583556284,3.7530703290366056,3.6305231726377607,3.809202400679802,3.3818304640501373,3.705502287073548,3.6815447226960774,3.7675066312931293,3.690504142576941,3.782114044653553,3.618399212431331,3.7813075540662555,3.783833233983797,3.7289889676759227,3.8013242046747475,3.793700092242385,3.767549232026906,3.713612937388732,3.726030112488741,3.7186658532462986,3.7966182410916565,3.7272375188215006,3.7822002090210733,3.8062300576939165,3.669001788576667,3.7445003780898016,3.721673966447247,3.804394885417434,3.6867465372137294,3.5582748326553597,3.696924314893874,3.6532155132395645,3.621402911944658,3.761874230765529,3.7509651214364728,3.688160736345599,3.4448996007911905,3.138862982568223,1.897626229780677,3.548054477490071,3.645541388980145,3.6425286483319184,3.170083850620414,2.6567231377156544,1.9182958340544896,3.462980309044543,3.7459585489936216,3.696952968989928,3.558580875766394,3.248292548959884,3.7407392714777683,3.12280361349235,3.8721311514427432,3.6194506780687865,3.1131143725365944,3.2521815692304665,3.3724121647002345,3.2799839998913067,3.5854364771314446,2.945239900401477,3.659069505040538,3.1759679672104695,3.8255377940173565,3.760699037032057,3.736780138587028,3.7878097538653765,3.596975485425551,3.5967241478710563,3.730553582146603,3.742636508820762,3.6876554350597925,3.836209772270822,3.5957445218067856,3.791109359456389,3.7146331096088794,3.787603597043697,3.6753541339445115,3.6844706228396524,3.7050350333867765,3.7251940698365584,3.7249499470551273,3.6737025326287385,3.793456171157682,3.7189083630735245,3.6562934065754895,3.5767450188597754,3.746165630438048,3.5965953236206074,3.5963313145734066,3.7027485932373003,3.7678539422179087,3.782212700432241,3.613899992984236,3.506468340420864,3.5057733010072294,3.6205917015235953,3.609328586286972,3.7532713040064314,3.7483953282387996,3.18792359557334,3.628404207207303,3.6627359021191297,2.4994729465710517,3.29821546717886,3.6177525773019044,2.4370983680602207,2.919801735173722,3.296357402740696,3.719811886502919,3.628043429447822,3.07927944964137,3.440290491246364,3.522570928180388,3.676891857415727,3.71508575503848,3.5943815480548937,3.505630956052285,3.4723702934868954,3.4869099016801988,3.530253812117106,3.139191191311881,3.6204642011721777,3.5459998676161772,3.6017976325115253,3.6559021950201376,3.39389636429726,3.5733277793787477,3.6451777690109464,3.7173930001626547,3.6070661236035066,3.653741246440884,3.714766523171929,3.7532062783947127,3.4562117279654916,3.832125439334168,3.6530946697803555,3.4934645116039498,3.581495895578005,3.6630809954587873,3.7004376842173783,3.607464204668884,3.6065525547685344,3.732996336465034,3.8233978302513143,3.7152957303335143,3.6617627302372293,3.649116492403269,3.6825294984970096,3.6862529737902765,3.578562001139068,3.7713745263800247,3.7299596980203362,3.5491467416290545,3.782649016523725,3.613651454670662,3.7836526274878812,3.613903897615965,3.6321428897490193,3.753918160299509,3.7487438217886195,3.726013734344479,3.6058730620126074,3.8305943962881432,3.7143472099729147,3.6839827653500414,3.7910207839619052,3.6639655191871414,3.7843527715463323,3.7995440250482595,3.052255602919531,3.692953045885585,3.7002954104328643,2.6419005050010655,3.1042056224176227,2.1450183402538907,2.842163724216226,1.9705557172035024,3.4131425882204667,3.61761491558304,3.5738097911526587,3.670358870210642,3.6518084489290676,2.822591707893877,2.806674437033433,3.3811002552299736,3.214335157077055,3.19312672837553,3.251883658790928,3.018898682735815,3.446296851568183,3.7276957257943435,3.6180598973887155,3.3286265589537507,2.9764031295438875,3.5319329366568266,2.8907114457193472,2.4792719574145954,3.340983889657689,3.424836223848143,3.4307298988019572,3.005990591728861,3.406576472734096,3.63396383003046,3.6190286991922282,3.530902048818176,3.2774606799864023,3.2996709863878997,3.504397038270582,3.504590753011568,3.4869217399241554,3.654875680880371,3.7674299474877735,3.708460757755897,3.6570568022802155,3.453164111787781,3.7256403595666803,3.4440719953109022,3.747514016998003,3.6440830332233336,3.726065056238721,3.6133853423584097,3.7813697238080417,3.6363074864106966,3.4004039273650153,3.410894289111128,3.663946653799228,3.776914099176135,3.5226797774442233,3.6513435397183116,3.6903825542748523,3.734313882957897,3.696040677994359,3.6652839703763966,3.604333437045205,3.6034283563587812,3.709668557820485,3.699043529124752,3.6939377782209464,3.739216264814258,3.6757600341431673,3.635472361034723,3.7707884606849444,3.662772920334131,3.715411837617464,3.6873955316861466,3.6492814475902255,3.7618592647632614,3.508071635047914,3.6261233044166516,3.6941608278299323,3.586154894969835,3.777748980922805,3.7129267113716016,3.2933736993046208,3.3736115930698,3.783841422307832,3.6400731721464217,3.537729943307374,3.7498136457640903,3.4363510575576868,3.3527760271515095,3.7615659963036774,3.8151295075264495,3.5207939384757236,3.6043880806247146,3.745224070114061,3.8067168856733895,3.3037039962760497,3.5665715949615904,3.3990440358054954,3.261489329849066,2.5318408990429324,2.3435748358352444,2.6285925132830603,2.878177688726993,2.4582455252848567,2.7857335390159346,2.474194415617821,3.1816129637600143,3.118251710647035,3.8276782725329506,2.6931413760905962,3.814683781555863,1.9794110197760413,3.760477601502613,3.437953863720354,3.7369303966132423,3.368061317464421,3.715682242670455,3.2836975481823925,3.5035389257092677,3.0989241152201807,3.8079671807969038,3.2748629341236546,2.3105467485441604,3.2374346557992646,3.72963049282175,3.3928344904882515,2.508437847883282,3.638535662349768,3.721420986964747,3.483365659028254,3.546325747726536,3.7338336327606787,3.6082161039276244,3.6818418906081907,3.6873285809722276,2.8840983739547967,3.705273214660934,3.4041176771546007,3.4043107351601436,3.3524970289436387,3.7487770431319074,3.6139177853534847,3.5066510390513823,1.584962500721156,3.394590000298611,3.339728438829546,3.172588825989687,3.545451837519981,3.507351748042263,2.71314374451023,3.5944388510573124,3.602768426896363,3.3037824838289276,3.676298253777337,3.415770409503539,3.472219563090603,3.46621962975876,3.2750700557580545,3.647776835587141,2.702341014023458,3.8287603054955346,3.457596818255887,3.252723656122884,3.0532079459713675,2.7415892201030245,3.2125306186687133,2.9621367062201545,3.519001988468525,3.643100352864905,3.491148098052255,3.365766816339446,3.4663464404983557,3.63467268272186,3.7496255454762255,3.7135287861409787,3.7470435857334956,3.6595889270362667,3.202625000103023,3.5371038175372567,3.45939905027009,3.6828920504190865,3.6814454304111544,3.772929378905931,3.651911470608422,3.6244531982120987,3.7670437391379945,3.5653361291880645,3.7743724850554807,3.5731534112483514,3.740651199353441,3.6564393437310594,3.5701621200963465,3.695801180390034,3.865577155376025,3.6946647536968134,3.675462710029313,3.7141161316745173,3.524461018248418,3.518952611585661,3.3147130551171773,3.604054603043246,3.6961114147723353,3.6534358113629173,3.730076636799546,3.656520265177121,3.6591425857243514,3.655448962964437,3.668841793294176,3.491086766648659,3.757816328937213,3.631595930971023,3.6890461208971677,3.688651778906997,3.742405083452643,3.4891584313387445,3.4917134739572377,3.545563894179379,3.5792676144378794,3.7660583073157037,3.6943027764960927,3.427046196890797,3.5121599232132614,3.71661262568429,3.6756585881839268,3.6315950331290443,3.568730845696581,3.604595274246125,3.7710847851704,3.7370965771826614,3.362191528396637,3.597528163563161,3.5459816419536647,3.607355861883667,3.3669738898458363,3.466656547593812,3.6326023195973796,3.5220629432683754,3.5115101635673236,3.701386071866114,3.7617332478230603,2.792456772363378,2.9212234913566557,2.843820548212001,3.354137987091238,3.357193904646355,3.5042990046695874,2.1934975670601378,3.4072559940365736,3.0326005888405048,3.4304099271846176,3.326032496855088,3.320490452103807,3.0651608804172388,3.494948211133245,3.11575296587948,1.8726693569100332,3.64878527575883,3.682367259879128,3.2464395381472224,2.419372148594611,2.9061574405878496,3.296563944316255,3.624726635556181,3.7181956069004127,3.541670539111418,2.7224606170491215,3.100868709439583,3.0923689056999732,3.0384405837041806,3.0778615384449903,2.9676598329040833,3.707728631957201,3.1399831072521596,1.8016366412706077,1.584962500721156,3.4333573025558604,3.113604074295859,3.4818292094418215,2.3494839817876882,3.1103114527441686,3.7251438903577854,3.5469424088570864,3.8351758653200827,2.824044653687415,3.375377190908903,3.7011737652655166,3.4676368417199845,3.352566822670352,2.935004959761579,3.8564352984863497,3.6184261078525273,3.5915342133942776,3.380403830564134,3.446372700249991,3.4708684877168987,3.272255949334974,3.5650824542106294,3.460937979056071,2.9266913106088253,3.6114750447219754,3.1941622104582765,3.5035846402812756,3.3184961045088883,2.9562408260663298,3.2626213843116165,3.2725982646701413,2.251629167387823,3.2792804182343787,2.7504238254926165,3.5752999143023922,3.846483300382639,3.1565300170128796,3.3502654405443657,3.4929478217156666,3.411001791129784,3.2977540093432425,3.340783447815912,3.563596496611808,3.3461906506945844,3.385695429579575,3.2967350740325587,3.783163045496747,2.9387218755408675,2.3868421881310113,3.493024643876107,3.3402411822268228,3.6523620962462413,3.1048246156465664,3.261564474875703,3.5189470064157486,3.6674141469611317,3.585620839678857,3.3847647672996564,3.616078542339969,3.559398222342369,3.594230483731345,3.3687657559069533,3.058564668188449,3.330585964080745,3.7591954438185295,3.5603692771031694,3.4303652499332555,3.019294010583332,3.4962352709760274,3.5430880010161414,3.3521450340481564,3.627001165283633,3.708339350769763,3.2743750498875626,3.784957407364914,3.4279361183501913,3.793537281623735,3.5366515532990803,3.506295136853464,3.5806081079491436,3.7078598604120856,3.319028762912908,3.704082303158043,2.9943991570210335,3.6270850811396684,3.3000264220366753,3.4963570508002717,3.1602239289418517,3.2389480276703266,2.9016998556927383,3.489976815535482,3.370505616505269,3.3713826161257625,3.5087060511731503,3.7320399672339164,3.441999089200556,3.6128948814124118,2.9969379509308336,3.562715986017595,3.6906792097516607,3.380293054751943,3.432734769540927,3.3588410026775195,3.5405626547070748,3.5491229437848455,3.2418771237635653,3.513970294612125,3.599527367847069,3.6229466944889546,3.7510006009941645,3.770342106048233,3.3444689376716146,3.5334967452918025,3.5613413181242493,3.541801312912868,3.5233693913192816,3.7345216752657344,3.349737209297139,3.478100492614918,3.7127280402926197,3.611492841359166,3.8026623324229156,3.7606830738030874,3.531471605226492,3.690378262032335,3.2634228687415705,3.536962290463103,3.413114393307026,3.5782604329197323,3.560100660098295,3.6484318362032013,3.611032189501944,3.690868620826757,3.5974849493521805,3.652505534138249,3.8193830473568617,3.369221052438607,3.4756514968858894,3.6204495149497076,3.659922097258914,3.427358858162822,3.36577375375084,3.578595456710416,3.3143830130858323,3.6071422937312287,3.438422673599486,3.4416891193885646,3.2481342788938345,3.2697035825677236,3.6196570732572146,3.355479762591367,3.641209012151783,3.5343642512033213,3.4286225095645477,3.533058090570162,2.701248421937603,2.8826976687451964,2.336953705306273,3.1033406054657755,3.1605020475754566,3.1671671659124203,2.854481719754395,3.257533683954501,2.8082708345352607,3.401132052002844,3.2538013905715872,3.4138838907066424,3.527424714662737,3.562715986017595,3.120230678958019,3.4378647352967686,2.913924587933629,2.586766155339786,2.760139409026082,3.4910382274855025,2.790480818972962,3.7043852742664103,1.9182958340544896,3.7025248068628827,3.4147004336074303,3.7387304242467674,3.7381616677048797,3.4371579548615503,3.277570324033385,3.3540101243783504,2.6896901114974385,3.466100020160157,3.230954613740553,3.604811795211526,3.291146489729121,3.4324232826846512,2.9513114737863773,3.5354489947162846,2.8817951752496156,3.490387897739814,3.6020554329857877,3.6189571881544405,3.2532578887517705,3.374092480429717,2.865340186889138,2.3370193533154193,3.246048931120798,2.821027143894082,3.4305508158481803,3.6667454732467775,3.2049769572852376,3.4834916739057467,2.9900159506045942,2.7371140717562756,3.5535722452307605,2.8839093822190476,2.550376042447919,2.6501009163265743,2.6913189847734253,3.0231966836795467,3.158354341209271,2.0445569985498815,1.9182958340544896,3.265970602773329,3.6527430680298023,3.476830195158546,1.584962500721156,3.110615225310155,3.217596589486708,3.5423202787675536,2.9274676195830307,3.417882725405507,3.598752205848374,2.3991303913908,3.0542978537695333,3.5198606206451526,3.5449877286706992,2.3991303913908,3.4763205019176793,2.5492553971685,3.635262626236989,3.3677606158999573,2.506866543182522,3.2905468384215806,3.3927941815164804,3.8301949326903637,3.690742555538375,3.2959142359379654,3.12874010678494,2.4915485198790637,3.6030655886997787,3.3097280817398484,3.524275326327909,3.5934048467207975,3.1395696972769898,3.8232705537753113,3.670121406624799,3.311906829789636,3.393657368583733,2.6193057479630792,3.3119104235486083,3.2065581604734272,3.401727678869736,3.455159294885554,3.099371054162089,3.060475446522975,3.2129671263860327,3.0618579278790876,3.534595935899938,3.4879833579581176,2.7907591470963844,3.4606539132224636,3.166180404192748,3.1471989149910056,3.0903050478099,3.7138590765364645,2.8788023890812156,1.9086126988727123,3.738990211776667,3.498274424695242,2.7202320588468942,2.484697002530877,2.559175927528495,3.0083585045428767,3.046069082933745,3.0462932913104823,2.6423217108953416,3.3282311415423704,3.3865852391958153,3.3830825104228097,3.166180404192748,3.4016291440575053,3.499362933409339,3.188740355446674,3.0692785795574067,2.1258145836939115,3.0419952492918862,2.694205915355059,3.2344665427912247,2.9057645846554534,2.533775615611495,3.1343166327225807,3.0941853407214834,3.3536153316771706,3.3495588236716767,3.023359466649595,3.4092878911910143,3.1831803252359365,3.0807652936305012,3.2918834480295875,3.3526730099239654,3.06754479036844,3.038161182378291,3.008075324227178,2.215316204745374,2.774418313907282,3.3744104235486088,3.658762452833563,3.4773117564327483,3.2064995954354414,3.239874226962991,2.647707761808613,3.4394649377746034,3.4954614520130853,3.1150702060648223,3.3049198909674193,2.9809570094491518,3.3282311415423704,3.525433027928459,3.486673938799109,3.3107947579307893,3.6546400236216385,2.2651253054903266,3.10713548052225,3.5145118768329344,3.372017398100392,2.7086126988727126,2.573934896284056,3.4286225095645477,3.3444689376716137,3.473625187871936,3.3415121302344293,3.312357454579346,3.372183868203879,3.230382509898332,3.4796570290523245,2.980957009449152,3.354133962011705,3.24182924068941,3.273675846094222,3.303743793702383,3.056829099810763,3.062375906546082,3.5021659425638783,3.361355838395602,3.3666911598938367,3.1863692620444155,2.959059758531438,3.72588746778694,3.2641301123736204,2.9707604180689153,3.423476140337166,3.6269112636401286,3.5937087385622912,2.5876275189443887,3.634168756232362,3.1647004336074307,3.653989134215091,3.4516492242552475,3.108286502434239,3.6593729769870293,3.2691312426156194,3.6560015218751025,3.3212845282860304,3.4152947967104472,3.321663193368381,3.721643786150181,3.5260421218631532,3.337496942815644,3.7464709526969817,3.6018225827482575,3.5510136455984935,3.372711904357903,3.4946744474357234,3.613821899024076,3.668608748447099,3.140807279095102,3.713718267468226,3.3326171267319724,3.8149328518230416,3.5510136455984935,3.6159800709957244,3.4528182609737637,3.373232145558768,3.1138997261511836,3.2925510498212573,3.262538358183017,3.55766840203851,3.24862813004378,3.5104903020356684,2.919306020932832,3.518374207257706,3.5506191219071033,3.697663816346861,3.5184771868851747,3.5243265140066025,3.3785271364051526,2.8089883775620073,3.5608845215175458,3.06754479036844,3.3132851569022077,3.6459258722743804,3.6755483185342026,3.081624456985668,3.456803830044276,3.3884371430131277,2.4885548621928453,2.5105467485441606,3.249522550969696,2.9656523646972617,3.493765654649382,3.334879469303739,3.63719196956244,2.4885548621928453,3.5236198941327466,3.1243797591060494,3.589089795053576,3.709670875953879,3.402404149493064,3.5302166750702284,3.4200072721324415,3.424665923938981,3.5264403429506817,3.308308926309633,3.406665558669786,3.7716580046087835,3.668897375291114,3.10713548052225,3.6179634810878913,3.7077185009720273,3.797029363234186,3.4038666570319296,3.5338493676316256,3.654587477305437,3.7784158730592066,3.519004363326182,3.5260421218631532,3.4122050603444016,3.6200936717530507,2.707751647240616,3.06941463209202,3.5179631089662378,3.5187130961798516,3.4273166755735636,3.503659696874211,3.77125137748432,3.5433742477302435,3.3805765634314935,3.757533683954501,3.2542447164965367,3.5695490218357673,3.3875370522330908,3.0700072721324423,3.5542831727935096,3.6049928652716923,3.5877713050992046,3.2175965894867073,3.2033406054657756,3.3904783506035794,3.6969831639378454,3.2130237406475524,3.460473492370788,1.9086126988727123,3.4071925605847873,3.582596273588859,3.391485272900923,3.387380345401073,3.8508867256479364,2.5233199707598044,3.3649988920031193,3.4242003506211676,3.1063692620444154,3.362517918191957,3.4754696508202105,3.4840572896663415,3.1802056785153443,3.1105625607228653,3.297786285894102,3.505966736947111,3.3811672029311732,3.463562527884102,3.3911777292510448,2.704986855772667,3.13311531472912,3.0807652936305012,3.5504682031297645,3.311449721312017,3.31517388665243,3.479690407314219,2.827539248688392,3.42348655082685,3.0066788061504854,1.9086126988727123,3.2746663341372617,3.5272842455635707,3.5850199672682774,3.4492425517379837,2.8574258137630513,3.4019288903729707,2.813209829505895,2.574418313907282,3.0284313650999963,2.809955011637033,2.671108958403888,1.9086126988727123,1.584962500721156,2.83709836806022,3.4436781892114476,2.396310424640968,2.9703890505169612,3.323302231917447,2.943115239013435,3.2527474064704918,3.3224645759489526,3.0160310020785306,3.0249701876475754,3.2588868073969754,3.283746471199077,2.676908169168578,3.461100766003093,3.2992237062625396,3.058564668188449,3.4795444601806906,2.9805257432031302,3.1272238005448987,3.1724720783270506,3.4471311679806202,2.9988049216718595,3.391485272900923,3.1018488468660386,3.485402266108973,2.901363669197544,3.1839816191396557,2.8428553651686697,2.2825887305018333,3.5904759184349397,3.589331654353829,3.4233668311822494,2.6614871535590305,3.2130237406475524,2.506866543182522,3.600433004782186,3.398673371449552,3.4268932718573706,3.420792470807237,3.081871529180026,3.439342252653481,2.9867512935581506,3.6053517459775697,2.9821354805222504,3.4320491598279332,3.394144765184001,3.1105625607228653,2.9366220416075057,3.241952633632409,3.5677848511310604,3.442452320311201,2.733308929091614,3.7339663001711227,3.4768618546848646,3.258827262383068,3.237193880311756,3.06754479036844,3.3280342375752814,3.5068386978312827,3.1461432881988993,3.238356775553665,3.3435745551561986,3.7257017775634216,3.000251698427829,2.9253622773603483,2.9247419908938443,3.1476516356522763,3.0758497376046976,3.2953563685577065,2.5820311165404983,3.505308190380057,2.9715865576340854,2.752422131947789,3.377167995105466,3.609185478167093,2.1258145836939115,2.790759147096385,2.369910023274066,2.842857292808498,3.6076234926196844,3.501016473182891,3.6369534725342154,2.8608288771249426,3.4961886335849286,2.0713451397302376,2.8517008946825575,2.4229950525791284,2.2516291673878226,2.974937501201927,2.961088750969709,2.8239993086347,3.6522429114886794,2.6887218755408675,3.617161769707996,1.584962500721156,3.153107168362811,3.051017364289703,3.4036502241587523,3.265447687255014,2.9193688320938413,3.4774969821743436,2.9592839585350075,1.8910611120726528,2.9392649313368078,2.829957474844326,3.477496982174343,3.4945271946157312,2.772055208874201,2.418295834054489,2.9482376562137866,3.2898633503462134,3.0362905057783762,2.8078173151210217,3.258076495560559,3.4633891713653013,3.26825915077763,2.355388542207534,2.0922718656836103,2.838071837322886,2.819773835029478,2.5304930567574826,3.1442355660428927,2.355388542207534,2.7132162356911396,1.584962500721156,3.152813337665822,2.4410685859554375,2.8736287051460163,2.2256051990169436,2.197159723424149,3.026943634583497,2.9492553971685003,2.4410685859554375,3.4620013046373446,3.024652318106759,3.2866181039405853,3.04778745489906,3.142025516273594,3.3511901751339606,3.690661898638029,3.4266408967444266,2.5227400452149484,2.897574876695887,3.2079698104840126,3.1750787988067635,3.459596779200137,3.6393040453627257,3.0872520915136796,2.9945687308864497,2.4662478973127313,3.2027015190751857,3.1782587564532343,2.834962500721156,3.0146856417317762,3.50048548792147,3.1201110026294825,2.084962500721156,3.367142293731229,2.9193688320938413,3.3632833342948754,2.6486037302133703,3.3567241827042773,3.2712337974982226,3.552702165427174,3.582260657696229,2.6416041678685938,3.250493560008033,3.170609956930516,3.1750787988067635,2.8978887804072606,2.9965054036170082,2.418295834054489,3.346533070564215,2.7860354987605076,2.5492553971685,3.3698636284866454,3.2430087485740158,2.5304930567574826,2.8238147063331858,2.799554631071942,3.339849553953618,2.9948204868923636,2.819773835029478,2.9193688320938413,3.1397950937879773,3.187985730172778,2.0922718656836103,2.9890591895934944,3.3647315008327747,2.355388542207534,3.148913532831048,3.625003825364547,2.8715082933156206,2.7843010036617546,3.1410962285935398,3.0390131753308944,3.485810828446868,3.0146856417317762,3.209962500721156,2.7132162356911396,2.625605199016944,3.3616116103568645,2.819773835029478,2.8222649292973934,2.658680662942251,2.418295834054489,2.418295834054489,1.9182958340544896,3.0775762307422188,1.584962500721156,3.0088437168198476,3.0396330438946326,3.140512641224538,3.039013175330894,2.8222649292973934,3.284463303875926,3.1948246810983063,3.083457619775339,2.4662478973127313,3.160122686387112,2.622733639029705,3.3387386190538875,3.4024722264160117,3.2623142615653102,2.8736287051460163,1.8910611120726528,2.5521796970665487,3.303627884142108,1.8910611120726528,3.0873313066920574,2.8222649292973934,3.099581230646065,3.031651423663853,3.648360035739156,2.9492553971685003,3.2439990755163866,3.1728333099775243,3.1812412025481036,3.0088437168198476,3.0088437168198476,3.1926352996677636,3.2922718656836105,1.8910611120726528,3.592122914715511,3.4128362768532297,2.6828173151210217,2.945223352334957,3.0995812306460646,3.563446589679127,2.992720414527742,2.866247897312731,2.6531071683628116,2.819773835029478,2.819773835029478,2.9719628544813346,3.286637275767884,3.433827022152802,2.8736287051460163,2.113283334294875,3.301203046821729,3.391061112072652,3.133641911566009,2.9492553971685003,3.7726089741253137,2.113283334294875,2.9592839585350075,2.584962500721156,3.0304930567574826,2.5521796970665487,3.155608994823797,3.0304930567574817,3.026943634583497,3.083457619775339,3.6850312134641263,3.206195636817322,1.8910611120726528,2.6416041678685938,3.1812412025481036,3.3881449188285377,3.111440501696144,3.164528970150655,3.1812412025481036,3.155608994823797,2.6775003129941957,2.8222649292973934,3.1152703968800375,3.441745465473431,3.099069506181111,3.3387386190538875,3.182588730501833,3.0304930567574826,3.2312221137405936,3.692154861118254,1.8910611120726528,2.617978140453044,2.8736287051460163,2.9482376562137866,2.622733639029705,2.819773835029478,2.6688388898504307,2.2516291673878226,2.5634425677041555,2.2350331890260717,1.584962500721156,2.8287951420674817,3.2430087485740158,2.557727778739319,2.772055208874201,3.34217705015318,3.4645513724343204,3.2159220638351664,3.194773835029478,3.396709633546641,3.432402839514444,2.9954618087341474,2.622733639029705,3.2682591507776304,3.014149323879262,3.4921743360108533,3.393350702865176,2.7132162356911396,3.2592600524342994,2.4159220638351666,2.5492553971685,1.8910611120726528,2.6179781404530442,3.2222230153972626,2.084962500721156,2.799581230646065,2.7539187581803466,3.0304930567574817,2.5304930567574826,3.0510173642897036,3.0362905057783762,3.0775762307422183,2.197159723424149,2.8978887804072606,3.0088437168198476,3.0510173642897036,2.9482376562137866,3.396709633546641,1.8910611120726528,2.2516291673878226,2.7799500009615414,2.622733639029705,2.9886873418533297,3.0510173642897036,3.26825915077763,3.081195636817322,3.293164214858805,3.063990902225966,2.8736287051460163,3.3632833342948754,2.748190855223319,2.7497406322591122,3.4735261430296576,2.6828173151210217,2.355388542207534,3.445382844105811,3.594904448967617,3.2079210292757696,2.819773835029478,3.1603457579647016,3.7239768780513756,2.781937063546704,3.122020675186663,3.596763194563293,3.44744465874213,3.0600246439421595,2.7539187581803466,3.133641911566009,3.5134111897456344,3.4094437377200832,3.4074082005824478,3.111440501696144,3.8134849013958645,3.0362905057783762,2.882588730501834,1.584962500721156,3.380613246022508,3.477390510207075,2.9492553971685003,2.084962500721156,3.147961449640642,2.8978887804072606,1.8910611120726528,3.6231966836795464,2.905513124873876,3.308412132140097,2.2256051990169436,2.8736287051460163,3.4281132520570377,2.6828173151210217,3.063990902225966,2.725480556997868,2.781937063546704,2.5274955437916096,2.866247897312731,2.9193688320938413,3.493209169543614,3.2222230153972626,2.6586806629422512,2.947392522926828,3.2432314287976207,3.1198904133448537,3.2229887762623135,3.2565300170128797,3.3361738624063992,3.031651423663853,3.6231966836795455,2.197159723424149,2.9589385323502766,2.1971597234241496,2.9592839585350075,3.5740748672491143,3.298517580528206,3.3930618151257184,3.6102963226608122,3.1198904133448537,2.834962500721156,2.4662478973127313,3.1664651196311078,2.355388542207534,3.0961419134643946,3.0577277787393187,3.026943634583497,3.2079210292757696,3.425509379502262,3.659258786209888,3.026943634583497,3.36647689270943,3.4735261430296576,3.3203168908254193,2.998930521405425,3.445382844105811,3.408531464932964,3.104469088386603,2.084962500721156,1.8910611120726528,3.492713510417106,2.6828173151210217,3.5112320289356242,3.0304930567574826,3.323196683679547,3.603507953224671,3.193254422633469,2.8715082933156206,3.0362905057783762,3.2159220638351664,3.206195636817322,3.258938532350277,3.468371349852937,3.194185076703557,2.8855130303998813,3.5675300937945194,3.3457316552461287,2.819773835029478,2.8222649292973934,3.5281071683628102,3.549011575276001,2.8715082933156206,2.084962500721156,3.077177622274777,3.342953685589725,2.89227186568361,3.6556482647360697,3.593202305566796,3.1948246810983063,3.230677486171947,3.241654808988993,3.04778745489906,2.9749375012019263,3.5602803504483354,3.4590226336859113,2.9589385323502766,3.1198904133448537,2.084962500721156,3.4455819737065516,3.08725209151368,3.2599288244274782,2.945223352334957,2.4662478973127313,3.2340403673728164,3.3159220638351674,3.3058630759777987,3.306105293386588,3.3640763078793414,3.4387218755408684,3.399405832611558,3.4324028395144444,3.625255078789777,3.3709800833445733,3.126629167387823,3.122862303483989,2.6586806629422512,3.4774969821743436,3.5152450809080333,3.478327587351481,3.5890368585523293,3.5370378302120775,3.375872446380974,3.279196409311132,3.547938977171248,1.584962500721156,3.444394948656537,3.1812412025481036,3.4081859965117762,3.2771197861402115,3.293164214858805,3.197159723424149,3.2898633503462134,3.2312221137405936,2.8222649292973934,2.625605199016944,2.6688388898504307,3.602770337214929,2.866247897312731,3.206195636817322,2.9920139962755843,3.2407352769864644,3.0563268462078037,3.340475627064562,3.1397950937879773,3.2872593659239957,2.992720414527742,2.7497406322591122,3.4147026136178926,3.3729663772279657,2.9647738275522104,3.2565300170128797,2.355388542207534,2.8736287051460163,2.772598264670142,3.0088437168198476,2.827025535001665,2.735282872053068,3.212159185770264,2.4662478973127313,2.781937063546704,3.2222230153972626,3.5441316156159246,3.44309102234834,2.9193688320938413,2.7132162356911396,2.8736287051460163,2.6682958340544896,3.4242815526885835,3.323196683679547,3.526587755966802,3.306105293386588,3.424281552688583,3.511974538238964,2.834962500721156,3.5264336008271617,3.4777498581861126,3.245264771497309,3.412529742644465,3.258076495560559,3.3528565765845415,3.527708559656228,3.0875725570604278,3.228182792681446,3.2407352769864644,3.0088437168198476,3.2761104043867495,3.349898095464288,3.1750787988067635,3.3967759010374894,3.1198904133448537,2.9193688320938413,2.945947084901045,3.3974013427626457,3.1348711391327275,2.9492553971685003,3.323196683679547,1.8910611120726528,3.3216770533714874,3.313985623500096,2.992720414527742,3.201519590711955,2.084962500721156,2.9321143539216816,3.425509379502262,3.147961449640642,3.5825325572540616,3.2734008407350252,3.4754795755681114,3.0600246439421595,3.1664651196311078,2.7152703968800376,2.8082708345352607,3.352566822670352,3.4581255671494606,3.599752807728938,3.3013735952750607,3.444394948656537,1.8910611120726528,3.1750787988067635,3.1397950937879773,3.234196760461186,2.987206979219409,2.658680662942251,2.8222649292973934,3.344166979660861,2.753918758180346,2.9589385323502766,3.2875783129602114,2.834962500721156,3.524249736560691,3.248626072569858,3.2015195907119542,3.2283421419317144,3.130634354362319,2.9851627711755544,2.7364405016961446,3.105388542207534,3.30318410662097,3.419523243251209,3.282588730501833,2.355388542207534,3.367724126300264,2.8736287051460163,3.170609956930516,3.2576517685215065,3.206195636817322,3.2407352769864644,2.355388542207534,2.563442567704156,2.332914563979398,2.6416041678685938,3.1664651196311078,2.7492553971684996,2.7497406322591122,2.355388542207534,2.5492553971685,2.0922718656836103,2.8222649292973934,3.063990902225966,3.3051468724810564,2.6421811268165176,3.4331810157403657,3.2898633503462134,2.355388542207534,3.5084121321400974,2.197159723424149,3.2191487716474576,3.4121284754008143,2.5521796970665487,1.9182958340544896,3.0510173642897036,1.584962500721156,2.622733639029705,2.197159723424149,1.584962500721156,2.5994839817876887,1.8910611120726528,2.9410685859554366,2.6416041678685938,3.724394445405986,3.099069506181111,2.866247897312731,2.9513114737863773,3.099069506181111,1.8910611120726528,3.155255464769938,1.584962500721156,1.584962500721156,2.084962500721156,2.8067778399516414,2.355388542207534,1.8910611120726528,2.9592839585350075,2.6486037302133703,2.944773835029478,2.661208797978994,1.584962500721156,2.6416041678685938,2.682588730501833,2.862333395507197,3.013747211832477,3.374470009963892,3.1397950937879773,2.7254805569978684,2.7684928819175183,3.1851859783602254,3.008843716819847,2.882588730501834,2.992720414527742,3.130634354362319,3.008843716819847,3.0875725570604278,2.834962500721156,3.099069506181111,2.7132162356911396,3.1750787988067635,3.258076495560559,2.758938532350277,3.8428149214795515,2.4159220638351666,2.9193688320938413,2.332914563979398,3.0396330438946326,2.5016291673878235,2.998930521405425,1.8910611120726528,3.0838725318884257,3.3881449188285377,3.2222230153972626,3.026943634583497,2.8855130303998813,2.7132162356911396,3.2099087772429615,3.1348711391327275,2.9392649313368078,1.584962500721156,2.945223352334957,2.7132162356911396,3.281328376956157,2.332914563979398,2.975661583301446,3.855879084206128,2.7497406322591122,3.3827770710534164,2.89227186568361,3.162303904437445,1.8910611120726528,1.8910611120726528,3.356356778164105,2.084962500721156,2.332914563979398,3.0686162053864012,2.998930521405425,2.6416041678685938,2.9482376562137866,2.2256051990169436,2.751629167387823,2.819773835029478,3.372597349445814,3.2682591507776304,3.4282958177093743,2.197159723424149,3.164528970150655,2.4255093795022624,2.332914563979398,3.479158027234618,2.6828173151210217,2.871056984481621,3.212159185770264,3.5740748672491143,2.084962500721156,2.8222649292973934,3.2170427091145863,2.905513124873876,1.8910611120726528,3.599326085473416,2.751629167387823,1.584962500721156,3.6318509138615394,3.1198904133448537,3.0444871515196152,3.2825887305018338,3.323196683679547,1.584962500721156,2.838071837322886,2.799554631071942,3.3256051990169437,3.508847170761848,3.130634354362319,2.799554631071942,2.8222649292973934,2.1971597234241496,3.273239586511926,2.9266913106088257,2.084962500721156,3.636035498760508,2.7132162356911396,2.5304930567574826,2.9193688320938413,3.34217705015318,3.2477083832208957,2.995461808734148,3.3097531118075105,3.177071466472018,2.753918758180346,2.8978887804072606,2.772055208874201,2.355388542207534,1.584962500721156,3.3930618151257184,3.542183228330558,2.723694943055694,2.9927204145277417,3.657863674511201,2.7492553971684996,3.4861899099178753,3.1781627454969295,3.0304930567574817,2.084962500721156,1.584962500721156,3.5516700517585873,3.1300558380319683,2.7168597161107644,3.099069506181111,2.9927204145277417,3.122544902027047,3.026943634583497,2.7132162356911396,3.374470009963892,2.799581230646065,1.9182958340544896,3.2823346243667553,3.318364135686617,2.2243944454059865,3.251782097314757,2.8218154294552926,3.850110167432648,3.282588730501833,1.8910611120726528,2.5274955437916096,3.051017364289703,3.368125635187173,3.458043865155469,3.1198904133448537,2.4662478973127313,3.4044752448993423,3.466079528095467,2.2256051990169436,1.584962500721156,3.513329288070044,2.6887218755408675,3.431305772173264,1.8910611120726528,2.4662478973127313,2.355388542207534,2.5492553971685,3.429898095464287,1.584962500721156,1.8910611120726528,2.5227400452149484,3.2320112312622795,1.584962500721156,3.4077083832208954,2.8638263900908156,3.1185612255936896,3.630055838031968,3.254872072194553,3.084962500721156,3.4094437377200824,3.04174546547343,2.6416041678685938,2.758938532350277,2.6828173151210217,2.8287951420674817,3.1948246810983063,3.3554797625913677,3.209791037518826,2.5492553971685,3.3543905900744733,3.3640763078793414,2.4410685859554375,3.308178646530613,3.26825915077763,3.189906253178593,3.04778745489906,3.162303904437445,1.9182958340544896,2.5492553971685,2.985008454496325,2.6421811268165176,1.584962500721156,3.427897514044844,1.9182958340544896,2.9589385323502766,1.584962500721156,2.862333395507197,1.8910611120726528,3.0722713657258063,3.099069506181111,2.897574876695887,2.355388542207534,2.355388542207534,1.9182958340544896,2.355388542207534,2.6828173151210217,2.0922718656836103,2.4159220638351666,2.2516291673878226,2.599581230646064,3.0533264751338023,3.0198900191410676,1.584962500721156,2.522055208874201,3.0256051990169435,2.9719628544813346,2.522055208874201,2.66329080817766,1.584962500721156,2.522055208874201,2.7799500009615414,2.903107168362811,2.4193819456463714,2.896339003371467,1.584962500721156,1.584962500721156,2.251629167387823,3.30827083453526,2.584962500721156,2.522055208874201,2.522055208874201,2.9477027792200907,1.584962500721156,2.113283334294875,1.9182958340544896,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,2.113283334294875,1.584962500721156,2.752715278979705,2.2516291673878226,2.4193819456463714,2.584962500721156,2.8491568534184415,2.682588730501833,2.522055208874201,1.9182958340544896,2.7799500009615414,1.584962500721156,1.584962500721156,3.402783110759241,2.808454330929235,2.903107168362811,2.2516291673878226,2.682588730501833,2.584962500721156,2.584962500721156,2.903107168362811,1.584962500721156,2.682588730501833,1.584962500721156,2.9719628544813346,2.4193819456463714,2.584962500721156,1.584962500721156,1.9182958340544896,2.7661506484543548,3.0256051990169435,2.986035498760508,2.7799500009615414,3.6231328850475633,1.584962500721156,2.251629167387823,1.584962500721156,2.682588730501833,3.167509460963901,2.113283334294875,2.4193819456463714,2.522055208874201,1.584962500721156,1.584962500721156,2.113283334294875,2.4466166676282084,1.584962500721156,1.9182958340544896,2.4193819456463714,2.752715278979705,1.584962500721156,2.4193819456463714,1.9182958340544896,1.584962500721156,2.2516291673878226,2.113283334294875,1.584962500721156,2.584962500721156,1.584962500721156,1.584962500721156,3.6065893869806596,1.584962500721156,3.0159220638351667,1.584962500721156,1.584962500721156,2.251629167387823,2.4193819456463714,2.918295834054489,2.584962500721156,1.584962500721156,2.4193819456463714,2.4193819456463714,1.584962500721156,3.447142293731229,1.584962500721156,2.251629167387823,2.986035498760508,3.465863075977799,2.584962500721156,3.150351557463162,2.2516291673878226,1.584962500721156,3.2799509632609745,1.584962500721156,2.522055208874201,2.584962500721156,1.584962500721156,2.7799500009615414,2.7799500009615414,3.182490186751775,1.584962500721156,2.7799500009615414,1.9182958340544896,1.584962500721156,2.2516291673878226,2.2516291673878226,3.0159220638351667,1.584962500721156,2.522055208874201,2.8491568534184415,3.182490186751775,1.584962500721156,2.113283334294875,2.4193819456463714,2.599581230646064,2.2516291673878226,1.584962500721156,1.584962500721156,2.4193819456463714,1.9182958340544896,1.584962500721156,1.9182958340544896,2.113283334294875,2.113283334294875,2.251629167387823,2.808454330929235,3.0513050676011337,2.752715278979705,2.9477027792200907,1.584962500721156,2.113283334294875,1.9182958340544896,2.251629167387823,1.584962500721156,1.9182958340544896,1.584962500721156,1.9182958340544896,2.4193819456463714,2.2516291673878226,2.522055208874201,1.584962500721156,1.584962500721156,2.251629167387823,2.2516291673878226,2.584962500721156,2.2516291673878226,3.296297089471336,1.584962500721156,1.9182958340544896,2.584962500721156,2.4193819456463714,1.9182958340544896,2.9719628544813346,2.682588730501833,2.4193819456463714,1.584962500721156,2.522055208874201,1.584962500721156,2.7799500009615414,2.4193819456463714,1.584962500721156,2.522055208874201,2.4193819456463714,1.9182958340544896,2.9661191854799362,1.584962500721156,2.113283334294875,1.584962500721156,2.4466166676282084,2.4193819456463714,2.113283334294875,3.5849625007211556,2.7799500009615414,2.918295834054489,1.584962500721156,3.2516291673878226,2.522055208874201,1.584962500721156,3.4047730402669214,2.682588730501833,2.584962500721156,3.138854608342479,3.0694497774259077,1.9182958340544896,2.584962500721156,1.584962500721156,1.584962500721156,2.7799500009615414,2.584962500721156,2.113283334294875,2.4193819456463714,1.9182958340544896,1.9182958340544896,1.9182958340544896,2.66329080817766,2.522055208874201,1.584962500721156,2.752715278979705,1.584962500721156,1.9182958340544896,2.9719628544813346,1.584962500721156,1.584962500721156,2.2516291673878226,1.584962500721156,3.6408616585652545,1.9182958340544896,1.9182958340544896,1.584962500721156,2.584962500721156,2.7799500009615414,2.522055208874201,1.584962500721156,2.918295834054489,1.9182958340544896,2.6632908081776603,3.0256051990169435,3.187414141407024,2.2516291673878226,1.584962500721156,2.682588730501833,2.903107168362811,1.9182958340544896,1.9182958340544896,1.9182958340544896,2.4193819456463714,2.8491568534184415,2.4193819456463714,1.9182958340544896,3.7028579967637105,3.5977706109996266,2.682588730501833,1.584962500721156,1.9182958340544896,2.2516291673878226,1.584962500721156,2.682588730501833,1.9182958340544896,1.584962500721156,2.9477027792200907,2.4193819456463714,1.584962500721156,3.2169752448993423,2.682588730501833,1.584962500721156,2.584962500721156,2.682588730501833,2.808454330929235,2.4193819456463714,1.584962500721156,2.752715278979705,2.682588730501833,2.2516291673878226,2.4193819456463714,2.251629167387823,2.599581230646064,2.584962500721156,3.296297089471336,2.584962500721156,2.918295834054489,2.2516291673878226,3.150351557463162,1.584962500721156,1.584962500721156,1.9182958340544896,2.7799500009615414,2.113283334294875,2.599581230646064,3.0198900191410676,3.3866598084671353,2.903107168362811,2.584962500721156,2.113283334294875,2.4193819456463714,2.584962500721156,1.584962500721156,1.9182958340544896,1.584962500721156,2.7799500009615414,1.9182958340544896,2.7799500009615414,2.7661506484543548,2.4193819456463714,2.682588730501833,1.584962500721156,1.9182958340544896,2.8486037302133704,2.584962500721156,2.4466166676282084,2.4466166676282084,2.8491568534184415,1.584962500721156,2.522055208874201,2.4193819456463714,2.682588730501833,2.2516291673878226,3.1152729535080175,3.0533264751338023,2.9966241415109924,2.6632908081776603,2.522055208874201,1.584962500721156,2.251629167387823,1.584962500721156,1.9182958340544896,1.584962500721156,2.682588730501833,3.0782256858655486,2.113283334294875,2.682588730501833,2.682588730501833,2.9661191854799362,2.9477027792200907,2.752715278979705,2.3589385323502774,1.9182958340544896,2.8963390033714673,2.113283334294875,2.682588730501833,2.2516291673878226,3.520747474740358,1.9182958340544896,2.4193819456463714,2.584962500721156,2.7661506484543548,2.918295834054489,2.584962500721156,2.918295834054489,2.584962500721156,2.522055208874201,1.584962500721156,2.7179717342678003,2.9477027792200907,2.113283334294875,2.113283334294875,2.752715278979705,3.2799509632609745,1.9182958340544896,2.682588730501833,1.584962500721156,1.584962500721156,3.1132833342948745,2.918295834054489,2.7799500009615414,2.4193819456463714,2.4193819456463714,2.584962500721156,1.9182958340544896,1.584962500721156,2.903107168362811,2.113283334294875,2.599581230646064,2.584962500721156,1.584962500721156,1.584962500721156,2.113283334294875,2.986035498760508,1.584962500721156,2.522055208874201,1.584962500721156,2.6632908081776603,2.918295834054489,3.024903138327775,1.584962500721156,2.599581230646064,2.7799500009615414,2.682588730501833,2.2516291673878226,2.2516291673878226,1.584962500721156,3.0159220638351667,2.752715278979705,2.2516291673878226,2.7179717342678003,2.599581230646064,1.9182958340544896,1.584962500721156,2.4193819456463714,2.599581230646064,2.5207474747403578,1.9182958340544896,2.7661506484543548,2.599581230646064,2.932914563979398,2.9719628544813346,2.682588730501833,2.8491568534184415,1.584962500721156,2.251629167387823,2.6632908081776603,2.599581230646064,1.9182958340544896,1.584962500721156,2.113283334294875,1.9182958340544896,2.2516291673878226,1.584962500721156,1.584962500721156,3.2195232432512086,2.113283334294875,2.113283334294875,3.0256051990169435,3.0860486123130384,1.9182958340544896,1.9182958340544896,1.584962500721156,1.584962500721156,2.7661506484543548,3.1661396132377186,2.251629167387823,2.808454330929235,2.522055208874201,2.808454330929235,3.279950963260975,1.584962500721156,1.9182958340544896,2.4193819456463714,2.4193819456463714,2.2516291673878226,2.5207474747403578,1.9182958340544896,2.4193819456463714,1.584962500721156,2.522055208874201,2.2516291673878226,2.8491568534184415,2.4193819456463714,2.4193819456463714,2.7799500009615414,2.7799500009615414,3.0198900191410676,1.584962500721156,2.682588730501833,1.584962500721156,2.9477027792200907,2.113283334294875,2.6632908081776603,2.903107168362811,1.9182958340544896,1.584962500721156,1.584962500721156,2.809356946127142,2.251629167387823,3.0159220638351667,2.4193819456463714,3.444944943690199,2.2516291673878226,1.584962500721156,2.599581230646064,2.2516291673878226,2.599581230646064,2.522055208874201,2.4193819456463714,2.6632908081776603,2.682588730501833,3.0256051990169435,2.8963390033714673,1.9182958340544896,1.584962500721156,3.1417876642625675,2.9477027792200907,3.0159220638351667,1.9182958340544896,2.2516291673878226,2.7179717342678003,2.6632908081776603,2.918295834054489,1.9182958340544896,2.918295834054489,1.584962500721156,2.808454330929235,2.682588730501833,1.584962500721156,2.903107168362811,2.948856927977939,2.903107168362811,2.522055208874201,2.584962500721156,3.0256051990169435,3.0694497774259077,2.682588730501833,2.808454330929235,1.9182958340544896,1.9182958340544896,2.2516291673878226,2.4193819456463714,3.0050458109311364,1.584962500721156,1.584962500721156,1.9182958340544896,1.9182958340544896,1.584962500721156,2.8491568534184415,2.251629167387823,1.584962500721156,1.584962500721156,2.7799500009615414,1.584962500721156,2.903107168362811,2.4193819456463714,1.584962500721156,1.584962500721156,2.9661191854799362,2.3589385323502774,1.584962500721156,3.0159220638351667,2.522055208874201,2.584962500721156,1.584962500721156,1.9182958340544896,1.584962500721156,2.682588730501833,2.584962500721156,1.9182958340544896,2.8491568534184415,1.584962500721156,3.150351557463162,1.584962500721156,1.9182958340544896,2.5207474747403578,1.584962500721156,1.584962500721156,3.1887218755408675,2.903107168362811,2.522055208874201,1.584962500721156,1.584962500721156,2.808454330929235,2.522055208874201,1.584962500721156,1.584962500721156,3.1132833342948745,2.808454330929235,2.522055208874201,2.251629167387823,2.932914563979398,2.2516291673878226,2.903107168362811,1.584962500721156,2.113283334294875,1.9182958340544896,2.7527152789797054,2.808454330929235,2.4193819456463714,1.584962500721156,3.3008529247684386,2.918295834054489,1.584962500721156,2.599581230646064,1.584962500721156,1.584962500721156,2.4193819456463714,2.4193819456463714,2.2516291673878226,2.4466166676282084,2.2516291673878226,2.113283334294875,2.584962500721156,1.584962500721156,1.9182958340544896,3.35653001701288,2.4193819456463714,2.4193819456463714,2.599581230646064,2.4193819456463714,2.4193819456463714,3.3052961878146676,2.682588730501833,1.584962500721156,2.4193819456463714,2.4193819456463714,2.7179717342678003,1.584962500721156,2.6632908081776603,2.752715278979705,1.584962500721156,2.2516291673878226,1.584962500721156,1.584962500721156,1.584962500721156,2.2516291673878226,2.855388542207534,2.599581230646064,2.4193819456463714,2.4466166676282084,2.599581230646064,3.2810361125534233,1.9182958340544896,2.584962500721156,2.2516291673878226,3.182490186751775,3.167509460963901,2.599581230646064,1.584962500721156,2.4193819456463714,2.584962500721156,2.584962500721156,2.2516291673878226,1.584962500721156,3.0503760424479194,2.4193819456463714,2.599581230646064,1.584962500721156,1.584962500721156,2.599581230646064,1.9182958340544896,2.584962500721156,1.584962500721156,2.113283334294875,2.599581230646064,1.584962500721156,2.3589385323502774,2.7527152789797054,1.584962500721156,3.0159220638351667,2.251629167387823,1.9182958340544896,1.584962500721156,2.7661506484543548,1.584962500721156,1.9182958340544896,1.584962500721156,2.4193819456463714,1.9182958340544896,2.4193819456463714,2.7799500009615414,2.682588730501833,2.2516291673878226,1.9182958340544896,2.682588730501833,2.113283334294875,1.584962500721156,2.855388542207534,1.584962500721156,2.682588730501833,2.6416041678685938,1.584962500721156,2.4193819456463714,1.584962500721156,1.9182958340544896,1.584962500721156,1.584962500721156,2.7799500009615414,3.336961217475441,2.2516291673878226,1.584962500721156,2.4193819456463714,1.9182958340544896,2.251629167387823,2.4193819456463714,2.251629167387823,2.2516291673878226,2.903107168362811,2.4193819456463714,2.4193819456463714,1.584962500721156,3.519519647926679,1.9182958340544896,2.4193819456463714,1.584962500721156,2.2516291673878226,2.8491568534184415,2.8491568534184415,2.3589385323502774,1.584962500721156,3.535045045336846,3.209825643205026,2.584962500721156,3.6676050052023514,2.4193819456463714,1.9182958340544896,1.9182958340544896,1.9182958340544896,2.8491568534184415,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,2.7661506484543548,3.0860486123130375,2.599581230646064,1.584962500721156,1.584962500721156,1.9182958340544896,2.5207474747403578,1.584962500721156,3.0159220638351667,1.9182958340544896,2.4193819456463714,2.2516291673878226,1.584962500721156,2.855388542207534,1.584962500721156,2.584962500721156,1.584962500721156,1.584962500721156,3.3282519341570502,3.0256051990169435,1.9182958340544896,3.142690279460475,2.808454330929235,2.682588730501833,3.3052961878146676,1.584962500721156,2.682588730501833,2.6632908081776603,2.918295834054489,1.584962500721156,1.9182958340544896,1.584962500721156,2.4193819456463714,2.4193819456463714,2.4193819456463714,2.808454330929235,2.682588730501833,2.4193819456463714,2.113283334294875,2.522055208874201,1.9182958340544896,1.9182958340544896,1.584962500721156,1.584962500721156,2.4193819456463714,2.113283334294875,2.682588730501833,3.0159220638351667,2.584962500721156,3.138854608342479,1.9182958340544896,2.113283334294875,2.8491568534184415,2.113283334294875,1.9182958340544896,1.584962500721156,2.113283334294875,2.251629167387823,1.584962500721156,3.150351557463162,2.4193819456463714,2.113283334294875,3.0694497774259077,2.4193819456463714,1.9182958340544896,2.113283334294875,2.8491568534184415,2.4193819456463714,2.903107168362811,1.9182958340544896,1.584962500721156,3.0860486123130384,2.2516291673878226,2.682588730501833,3.56743921076335,2.682588730501833,1.584962500721156,2.522055208874201,2.808454330929235,1.9182958340544896,2.682588730501833,3.150351557463162,2.94770277922009,2.6632908081776603,3.2109095640755525,1.584962500721156,2.2516291673878226,3.238777130513722,2.903107168362811,1.9182958340544896,1.584962500721156,3.0782256858655486,2.4193819456463714,2.8491568534184415,2.9719628544813346,2.932914563979398,2.7799500009615414,1.584962500721156,1.9182958340544896,1.9182958340544896,1.9182958340544896,3.1132833342948745,2.584962500721156,2.682588730501833,2.8491568534184415,1.584962500721156,3.333605299826451,2.7661506484543548,3.150351557463162,3.0694497774259077,2.522055208874201,2.4193819456463714,2.8491568534184415,1.9182958340544896,2.66329080817766,3.2364405016961446,2.4193819456463714,2.8491568534184415,1.584962500721156,2.855388542207534,3.3282519341570502,2.584962500721156,2.522055208874201,3.0503760424479194,2.522055208874201,3.1065729198452594,2.94770277922009,2.2516291673878226,3.182490186751775,2.808454330929235,2.113283334294875,2.4193819456463714,3.150351557463162,1.584962500721156,1.9182958340544896,2.9661191854799362,2.682588730501833,2.2516291673878226,3.0503760424479194,2.8963390033714673,1.9182958340544896,3.187414141407024,1.9182958340544896,2.4193819456463714,3.0694497774259077,2.986035498760508,1.584962500721156,2.918295834054489,2.2516291673878226,3.1065729198452594,2.522055208874201,3.0533264751338023,1.584962500721156,3.4027831107592412,3.0198900191410676,2.8963390033714673,3.138854608342479,3.150351557463162,2.808454330929235,3.0256051990169435,3.167509460963901,3.0860486123130384,2.903107168362811,1.584962500721156,1.584962500721156,2.584962500721156,2.7179717342678003,2.584962500721156,2.9719628544813346,2.8872593659239962,1.584962500721156,2.4193819456463714,2.4193819456463714,1.9182958340544896,1.9182958340544896,2.584962500721156,3.358938532350277,2.8491568534184415,2.7799500009615414,2.584962500721156,2.918295834054489,2.855388542207534,3.2596725750971243,2.599581230646064,2.682588730501833,1.584962500721156,2.2516291673878226,2.251629167387823,2.4193819456463714,1.9182958340544896,2.8491568534184415,3.3052961878146676,1.584962500721156,2.4193819456463714,1.9182958340544896,2.522055208874201,3.535045045336846,2.4193819456463714,3.167509460963901,1.9182958340544896,2.94770277922009,3.0694497774259077,3.0694497774259077,2.2516291673878226,2.8491568534184415,2.8486037302133704,2.2516291673878226,2.113283334294875,3.2195232432512086,1.584962500721156,2.9719628544813346,1.584962500721156,2.8491568534184415,2.918295834054489,2.4193819456463714,2.599581230646064,2.9719628544813346,2.8491568534184415,3.3686389359731206,2.599581230646064,3.779532433606931,1.584962500721156,3.4399062531785924,2.752715278979705,1.584962500721156,2.8846053692407603,3.150351557463162,2.8491568534184415,1.584962500721156,2.4193819456463714,2.113283334294875,2.4193819456463714,2.4193819456463714,1.9182958340544896,1.584962500721156,2.9719628544813346,2.682588730501833,1.584962500721156,2.9477027792200907,1.584962500721156,2.8491568534184415,2.2516291673878226,3.187414141407024,2.4193819456463714,3.0694497774259077,2.113283334294875,1.584962500721156,3.3686389359731206,1.9182958340544896,2.9719628544813346,2.682588730501833,2.4193819456463714,1.584962500721156,2.584962500721156,1.584962500721156,3.0159220638351667,2.113283334294875,2.2516291673878226,3.0533264751338023,3.2195232432512086,1.584962500721156,3.0860486123130384,2.4193819456463714,3.0533264751338023,2.932914563979398,2.522055208874201,3.150351557463162,3.0159220638351667,2.251629167387823,3.150351557463162,2.522055208874201,3.3282519341570502,1.9182958340544896,2.3589385323502774,2.2516291673878226,3.664935806353637,2.4193819456463714,1.9182958340544896,1.584962500721156,3.0694497774259077,3.0860486123130375,2.903107168362811,1.9182958340544896,3.0256051990169435,2.4193819456463714,2.584962500721156,2.7527152789797054,2.682588730501833,2.2516291673878226,3.422047322372095,2.682588730501833,2.7179717342678003,1.584962500721156,2.918295834054489,1.584962500721156,3.138854608342479,2.2516291673878226,2.3589385323502774,2.9719628544813346,3.0159220638351667,2.4193819456463714,2.9719628544813346,3.1715483868298153,2.2516291673878226,3.43142800193653,3.0694497774259077,1.9182958340544896,1.9182958340544896,2.9719628544813346,1.584962500721156,2.682588730501833,2.6632908081776603,2.584962500721156,3.30827083453526,2.113283334294875,2.4193819456463714,3.0256051990169435,2.2516291673878226,1.9182958340544896,1.584962500721156,3.3052961878146676,1.584962500721156,2.66329080817766,2.855388542207534,2.7799500009615414,2.682588730501833,3.465863075977799,2.2516291673878226,2.808454330929235,2.4193819456463714,3.1065729198452594,3.2109095640755525,2.2516291673878226,1.584962500721156,2.8491568534184415,1.9182958340544896,1.584962500721156,1.9182958340544896,2.113283334294875,1.584962500721156,2.8491568534184415,3.1065729198452594,3.106572919845259,3.150351557463162,2.2516291673878226,1.9182958340544896,2.682588730501833,2.682588730501833,2.9719628544813346,1.584962500721156,2.855388542207534,1.584962500721156,3.0694497774259077,1.584962500721156,3.191611641751378,2.8491568534184415,3.1065729198452594,1.584962500721156,2.522055208874201,3.2478623034839886,1.584962500721156,3.3174223436650006,1.584962500721156,1.9182958340544896,2.752715278979705,2.584962500721156,2.7527152789797054,2.584962500721156,3.2810361125534233,1.584962500721156,3.187414141407024,2.2516291673878226,3.0159220638351667,2.7799500009615414,1.584962500721156,2.4193819456463714,2.2516291673878226,2.8491568534184415,2.251629167387823,3.0256051990169435,2.2516291673878226,2.7527152789797054,1.9182958340544896,3.35653001701288,2.7799500009615414,2.682588730501833,2.682588730501833,3.0256051990169435,2.9477027792200907,2.4193819456463714,1.584962500721156,2.522055208874201,1.584962500721156,2.522055208874201,2.9719628544813346,2.2516291673878226,3.4721879416758124,3.0256051990169435,2.113283334294875,2.599581230646064,2.522055208874201,1.584962500721156,2.522055208874201,2.752715278979705,2.599581230646064,3.4565647621309536,2.584962500721156,3.333605299826451,2.113283334294875,2.2516291673878226,3.425695140793018,3.7897656297117313,2.599581230646064,1.584962500721156,1.9182958340544896,2.903107168362811,1.584962500721156,2.4193819456463714,2.113283334294875,2.522055208874201,2.682588730501833,2.682588730501833,2.4193819456463714,1.584962500721156,2.8491568534184415,2.682588730501833,2.4193819456463714,2.4193819456463714,3.0533264751338023,2.9719628544813346,2.522055208874201,2.682588730501833,1.584962500721156,1.9182958340544896,3.0159220638351667,1.584962500721156,1.9182958340544896,3.0503760424479194,2.4193819456463714,2.7799500009615414,2.522055208874201,3.0694497774259077,2.4193819456463714,2.2516291673878226,2.113283334294875,2.2516291673878226,2.522055208874201,2.4193819456463714,1.584962500721156,2.8963390033714673,1.584962500721156,2.4193819456463714,3.422047322372095,2.682588730501833,1.9182958340544896,1.584962500721156,1.584962500721156,2.682588730501833,1.584962500721156,2.584962500721156,2.4193819456463714,1.584962500721156,3.0256051990169435,2.66329080817766,2.522055208874201,2.986035498760508,2.808454330929235,2.808454330929235,1.584962500721156,2.2516291673878226,1.584962500721156,2.4193819456463714,2.2516291673878226,3.138854608342479,1.584962500721156,1.584962500721156,1.584962500721156,2.7527152789797054,2.2516291673878226,3.333605299826451,1.584962500721156,1.584962500721156,2.682588730501833,1.9182958340544896,2.4193819456463714,2.682588730501833,1.584962500721156,1.584962500721156,1.584962500721156,2.986035498760508,2.4193819456463714,3.182490186751775,2.584962500721156,2.8491568534184415,1.584962500721156,1.584962500721156,2.918295834054489,2.7799500009615414,2.682588730501833,1.584962500721156,3.278096467872261,1.584962500721156,2.599581230646064,2.2516291673878226,2.522055208874201,2.903107168362811,1.584962500721156,3.336961217475441,2.2516291673878226,2.584962500721156,2.9477027792200907,3.43142800193653,1.584962500721156,2.896339003371467,2.4193819456463714,2.903107168362811,2.4193819456463714,2.7799500009615414,2.599581230646064,3.024903138327775,2.6632908081776603,2.584962500721156,2.599581230646064,2.903107168362811,2.682588730501833,3.6065893869806596,2.4193819456463714,3.0159220638351667,3.0694497774259077,2.599581230646064,2.9719628544813346,3.462777071053416,1.9182958340544896,1.584962500721156,3.3492553971685,2.8491568534184415,2.4193819456463714,2.8491568534184415,1.584962500721156,3.1132833342948745,2.113283334294875,1.584962500721156,2.522055208874201,2.8491568534184415,1.584962500721156,2.584962500721156,2.113283334294875,3.2364405016961446,2.4193819456463714,3.2109095640755525,3.167509460963901,2.7381063736002558,2.7527152789797054,2.7799500009615414,3.0159220638351667,2.855388542207534,3.403520341945719,2.752715278979705,2.522055208874201,3.3818561991786806,2.9719628544813346,3.167509460963901,2.7527152789797054,3.0533264751338023,2.4193819456463714,3.355166919665573,1.9182958340544896,3.0694497774259077,3.2109095640755525,2.6632908081776603,3.333605299826451,1.9182958340544896,2.113283334294875,3.0159220638351667,1.584962500721156,2.8491568534184415,3.1152729535080175,2.808454330929235,3.3818561991786806,2.8846053692407603,1.584962500721156,2.2516291673878226,3.0256051990169435,2.2516291673878226,2.522055208874201,2.4193819456463714,3.3774776869921603,2.7527152789797054,1.584962500721156,1.584962500721156,2.2516291673878226,2.4193819456463714,2.9477027792200907,2.6632908081776603,1.584962500721156,3.2195232432512086,2.918295834054489,2.903107168362811,2.855388542207534,2.8491568534184415,1.584962500721156,1.584962500721156,2.682588730501833,1.9182958340544896,3.1132833342948745,1.584962500721156,3.2109095640755525,2.8491568534184415,2.8491568534184415,1.584962500721156,1.584962500721156,2.522055208874201,1.9182958340544896,1.9182958340544896,1.9182958340544896,1.584962500721156,2.903107168362811,1.9182958340544896,1.9182958340544896,2.682588730501833,2.4193819456463714,3.50292842506914,1.584962500721156,2.7381063736002558,3.0694497774259077,1.9182958340544896,2.2516291673878226,3.141787664262568,2.584962500721156,3.150351557463162,2.9477027792200907,3.138854608342479,1.584962500721156,1.584962500721156,2.9719628544813346,3.1715483868298153,2.4193819456463714,2.9477027792200907,3.0694497774259077,2.584962500721156,1.584962500721156,2.682588730501833,2.7179717342678003,1.584962500721156,2.251629167387823,1.584962500721156,2.2516291673878226,2.9719628544813346,3.024903138327775,1.584962500721156,1.584962500721156,2.4466166676282084,1.584962500721156,2.4193819456463714,3.0533264751338023,2.4193819456463714,3.150351557463162,3.3367751645029533,1.584962500721156,1.584962500721156,1.584962500721156,1.9182958340544896,2.2516291673878226,2.682588730501833,2.682588730501833,3.627860527949064,2.599581230646064,2.522055208874201,1.584962500721156,2.522055208874201,2.251629167387823,1.584962500721156,2.4193819456463714,2.7799500009615414,2.2516291673878226,1.584962500721156,1.584962500721156,2.8491568534184415,1.584962500721156,1.584962500721156,1.9182958340544896,1.9182958340544896,2.2516291673878226,1.9182958340544896,1.584962500721156,2.4193819456463714,1.9182958340544896,2.7179717342678003,2.522055208874201,1.584962500721156,2.855388542207534,2.918295834054489,2.2516291673878226,1.584962500721156,2.3589385323502774,1.9182958340544896,3.0694497774259077,1.9182958340544896,3.2478623034839886,2.903107168362811,2.2516291673878226,1.584962500721156,1.584962500721156,3.6231328850475633,2.4193819456463714,2.522055208874201,1.584962500721156,1.9182958340544896,1.584962500721156,2.584962500721156,1.584962500721156,3.711139294100744,1.584962500721156,1.9182958340544896,3.3052961878146676,2.522055208874201,1.9182958340544896,2.113283334294875,1.9182958340544896,2.522055208874201,1.584962500721156,2.2516291673878226,2.682588730501833,1.9182958340544896,1.584962500721156,2.522055208874201,1.584962500721156,2.4193819456463714,2.4193819456463714,1.9182958340544896,1.584962500721156,2.9477027792200907,2.522055208874201,2.4193819456463714,2.682588730501833,3.2109095640755525,2.4193819456463714,1.584962500721156,1.584962500721156,2.7527152789797054,1.584962500721156,2.752715278979705,2.2516291673878226,3.3967799230124602,2.682588730501833,1.9182958340544896,2.6416041678685938,1.584962500721156,3.0694497774259077,1.9182958340544896,1.584962500721156,2.522055208874201,1.584962500721156,1.9182958340544896,1.584962500721156,2.903107168362811,1.584962500721156,1.9182958340544896,3.2364405016961446,3.150351557463162,2.7799500009615414,1.584962500721156,3.0533264751338023,2.584962500721156,1.9182958340544896,1.9182958340544896,3.138854608342479,2.903107168362811,2.113283334294875,2.2516291673878226,1.9182958340544896,1.584962500721156,1.584962500721156,2.2516291673878226,2.113283334294875,1.9182958340544896,1.584962500721156,1.584962500721156,1.9182958340544896,2.522055208874201,1.584962500721156,2.113283334294875,2.7527152789797054,1.584962500721156,1.584962500721156,3.489390213421358,1.9182958340544896,3.43142800193653,3.150351557463162,3.462777071053416,2.522055208874201,2.4193819456463714,2.113283334294875,3.333605299826451,2.2516291673878226,2.113283334294875,2.584962500721156,2.2516291673878226,2.522055208874201,3.1065729198452594,2.522055208874201,3.355166919665573,1.584962500721156,2.2516291673878226,2.6632908081776603,2.682588730501833,3.0159220638351667,2.918295834054489,2.808454330929235,3.2732560536473265,1.584962500721156,2.8491568534184415,2.903107168362811,1.9182958340544896,1.584962500721156,2.2516291673878226,3.6262881048232476,1.584962500721156,2.94770277922009,1.9182958340544896,3.187414141407024,1.9182958340544896,1.9182958340544896,1.584962500721156,1.584962500721156,1.584962500721156,1.9182958340544896,2.4193819456463714,2.6632908081776603,1.584962500721156,2.682588730501833,1.9182958340544896,2.2516291673878226,2.8486037302133704,3.0533264751338023,2.903107168362811,3.3174223436650006,3.30827083453526,2.918295834054489,2.4193819456463714,2.113283334294875,2.682588730501833,1.584962500721156,2.599581230646064,3.50292842506914,2.9719628544813346,2.522055208874201,3.0198900191410676,2.7799500009615414,2.584962500721156,1.9182958340544896,3.3052961878146676,3.0159220638351667,2.113283334294875,2.251629167387823,2.599581230646064,2.2516291673878226,2.113283334294875,1.584962500721156,1.9182958340544896,1.584962500721156,1.584962500721156,2.599581230646064,2.4193819456463714,2.4193819456463714,2.3589385323502774,1.584962500721156,2.8491568534184415,1.9182958340544896,2.2516291673878226,2.584962500721156,1.584962500721156,2.2516291673878226,1.584962500721156,1.584962500721156,1.584962500721156,2.2516291673878226,1.584962500721156,1.584962500721156,1.584962500721156,2.2516291673878226,1.584962500721156,3.3174223436650006,1.9182958340544896,1.9182958340544896,2.8491568534184415,2.7799500009615414,1.9182958340544896,1.9182958340544896,2.251629167387823,1.584962500721156,2.2516291673878226,1.584962500721156,1.584962500721156,2.7799500009615414,2.4193819456463714,3.2516291673878226,1.9182958340544896,2.599581230646064,1.584962500721156,1.584962500721156,2.2516291673878226,1.9182958340544896,2.2516291673878226,1.584962500721156,1.584962500721156,1.584962500721156,3.3866598084671353,2.599581230646064,2.4466166676282084,2.4193819456463714,2.809356946127142,2.7527152789797054,1.9182958340544896,1.584962500721156,1.584962500721156,3.0159220638351667,2.7799500009615414,2.113283334294875,2.4193819456463714,1.9182958340544896,2.9719628544813346,2.8491568534184415,3.2478623034839886,2.808454330929235,2.2516291673878226,1.584962500721156,3.5442428974088855,1.584962500721156,1.584962500721156,1.9182958340544896,1.9182958340544896,1.584962500721156,2.2516291673878226,3.0694497774259077,2.2516291673878226,2.7179717342678003,2.251629167387823,1.584962500721156,2.8491568534184415,2.2516291673878226,1.9182958340544896,1.584962500721156,2.599581230646064,2.7661506484543548,1.584962500721156,2.4193819456463714,2.2516291673878226,2.251629167387823,1.9182958340544896,1.584962500721156,1.584962500721156,1.9182958340544896,2.113283334294875,1.9182958340544896,1.9182958340544896,2.752715278979705,1.584962500721156,2.251629167387823,1.584962500721156,1.9182958340544896,2.4193819456463714,2.251629167387823,2.752715278979705,1.584962500721156,3.0533264751338023,1.584962500721156,2.584962500721156,2.2516291673878226,2.113283334294875,2.113283334294875,2.682588730501833,3.1661396132377186,2.7527152789797054,1.9182958340544896,2.4193819456463714,1.584962500721156,2.7527152789797054,1.584962500721156,1.9182958340544896,2.94770277922009,2.4193819456463714,2.918295834054489,2.896339003371467,3.0533264751338023,3.30827083453526,1.9182958340544896,2.113283334294875,2.986035498760508,2.251629167387823,2.5207474747403578,2.8491568534184415,2.6632908081776603,1.584962500721156,2.2516291673878226,2.522055208874201,3.0159220638351667,3.6231328850475633,2.113283334294875,1.9182958340544896,3.333605299826451,3.2109095640755525,2.3589385323502774,2.932914563979398,1.584962500721156,1.9182958340544896,2.2516291673878226,2.113283334294875,2.752715278979705,2.4193819456463714,1.9182958340544896,2.113283334294875,2.113283334294875,2.599581230646064,2.855388542207534,2.251629167387823,2.7527152789797054,2.251629167387823,2.752715278979705,1.584962500721156,1.584962500721156,2.113283334294875,1.9182958340544896,2.4193819456463714,2.682588730501833,1.584962500721156,2.4193819456463714,2.903107168362811,1.584962500721156,2.599581230646064,2.918295834054489,1.9182958340544896,2.113283334294875,2.584962500721156,1.9182958340544896,2.113283334294875,3.0256051990169435,2.522055208874201,2.4193819456463714,3.0533264751338023,1.584962500721156,1.9182958340544896,3.2195232432512086,1.9182958340544896,1.584962500721156,2.7799500009615414,3.0860486123130384,1.584962500721156,2.918295834054489,1.584962500721156,2.9719628544813346,2.251629167387823,3.279950963260975,1.9182958340544896,2.7799500009615414,2.6632908081776603,1.9182958340544896,2.113283334294875,2.682588730501833,3.138854608342479,3.6676050052023514,2.4193819456463714,2.4193819456463714,2.113283334294875,2.9719628544813346,2.2516291673878226,2.522055208874201,1.584962500721156,2.66329080817766,2.9477027792200907,1.584962500721156,2.2516291673878226,1.9182958340544896,2.9477027792200907,1.9182958340544896,2.584962500721156,1.9182958340544896,2.522055208874201,1.9182958340544896,1.584962500721156,2.4193819456463714,2.809356946127142,1.584962500721156,1.584962500721156,3.3967799230124602,3.0860486123130384,3.2195232432512086,1.9182958340544896,1.584962500721156,2.4193819456463714,2.4193819456463714,3.0694497774259077,2.7527152789797054,1.9182958340544896,1.9182958340544896,2.522055208874201,1.584962500721156,2.7799500009615414,1.584962500721156,2.682588730501833,2.682588730501833,3.0256051990169435,2.522055208874201,1.584962500721156,3.0256051990169435,1.584962500721156,1.9182958340544896,2.113283334294875,2.932914563979398,1.9182958340544896,2.3589385323502774,2.113283334294875,1.584962500721156,2.682588730501833,2.7527152789797054,2.94770277922009,3.0694497774259077,2.4193819456463714,1.584962500721156,1.584962500721156,1.584962500721156,1.9182958340544896,2.251629167387823,3.024903138327775,1.584962500721156,2.522055208874201,2.4466166676282084,2.2516291673878226,2.584962500721156,2.682588730501833,2.113283334294875,2.6632908081776603,2.2516291673878226,2.113283334294875,1.9182958340544896,1.584962500721156,2.113283334294875,2.2516291673878226,2.855388542207534,2.522055208874201,2.4193819456463714,2.94770277922009,2.2516291673878226,3.278096467872261,1.584962500721156,1.9182958340544896,1.584962500721156,2.522055208874201,1.584962500721156,2.599581230646064,1.584962500721156,1.584962500721156,1.584962500721156,3.1661396132377186,2.584962500721156,2.4193819456463714,2.6632908081776603,2.4193819456463714,2.113283334294875,1.9182958340544896,2.752715278979705,2.2516291673878226,1.584962500721156,1.584962500721156,1.584962500721156,3.0198900191410676,2.7799500009615414,3.182490186751775,1.9182958340544896,1.584962500721156,1.9182958340544896,3.138854608342479,2.584962500721156,1.584962500721156,2.7179717342678003,2.6632908081776603,1.584962500721156,1.584962500721156,2.903107168362811,2.584962500721156,1.584962500721156,2.2516291673878226,1.584962500721156,2.808454330929235,1.584962500721156,1.584962500721156,1.9182958340544896,1.9182958340544896,2.94770277922009,2.4193819456463714,1.9182958340544896,1.9182958340544896,1.584962500721156,2.522055208874201,1.9182958340544896,1.584962500721156,2.251629167387823,2.113283334294875,3.0860486123130384,2.4193819456463714,2.113283334294875,2.7661506484543548,1.9182958340544896,2.113283334294875,2.2516291673878226,1.9182958340544896,2.599581230646064,2.4193819456463714,3.6065893869806596,1.584962500721156,1.584962500721156,2.4193819456463714,2.4193819456463714,1.584962500721156,1.584962500721156,3.355166919665573,2.2516291673878226,2.6632908081776603,1.9182958340544896,2.4193819456463714,1.9182958340544896,2.4193819456463714,2.2516291673878226,1.584962500721156,1.584962500721156,2.251629167387823,1.584962500721156,3.0256051990169435,1.9182958340544896,1.584962500721156,2.113283334294875,2.7179717342678003,2.2516291673878226,1.9182958340544896,2.522055208874201,2.7799500009615414,2.584962500721156,1.584962500721156,1.9182958340544896,2.4193819456463714,1.584962500721156,2.251629167387823,2.522055208874201,1.584962500721156,3.0694497774259077,3.0694497774259077,2.599581230646064,1.9182958340544896,1.9182958340544896,1.9182958340544896,2.682588730501833,2.918295834054489,3.6866248809885267,1.584962500721156,2.4193819456463714,1.9182958340544896,1.584962500721156,2.522055208874201,1.9182958340544896,2.752715278979705,3.355166919665573,2.9719628544813346,2.2516291673878226,3.0159220638351667,1.584962500721156,1.584962500721156,2.4193819456463714,1.9182958340544896,1.9182958340544896,2.113283334294875,2.8491568534184415,1.584962500721156,2.584962500721156,3.2596725750971234,2.903107168362811,2.3589385323502774,1.9182958340544896,2.251629167387823,2.599581230646064,1.9182958340544896,2.66329080817766,1.9182958340544896,1.584962500721156,3.106572919845259,2.4193819456463714,2.4193819456463714,3.106572919845259,2.3589385323502774,2.113283334294875,3.444944943690199,1.9182958340544896,3.3193688320938413,2.918295834054489,1.584962500721156,2.94770277922009,2.752715278979705,1.584962500721156,2.2516291673878226,2.6416041678685938,2.522055208874201,1.584962500721156,1.9182958340544896,2.584962500721156,1.584962500721156,2.4193819456463714,2.4193819456463714,3.3193688320938413,3.150351557463162,2.4193819456463714,1.584962500721156,1.584962500721156,2.584962500721156,2.522055208874201,2.682588730501833,1.584962500721156,2.522055208874201,2.752715278979705,2.4193819456463714,1.584962500721156,2.2516291673878226,3.0256051990169435,2.113283334294875,2.682588730501833,2.7527152789797054,1.9182958340544896,1.9182958340544896,3.333605299826451,2.251629167387823,3.106572919845259,2.808454330929235,2.682588730501833,1.584962500721156,2.932914563979398,1.584962500721156,2.682588730501833,2.932914563979398,1.584962500721156,1.584962500721156,1.584962500721156,2.94770277922009,1.9182958340544896,2.682588730501833,2.4193819456463714,1.584962500721156,2.9477027792200907,2.584962500721156,1.584962500721156,2.584962500721156,1.584962500721156,1.584962500721156,1.9182958340544896,1.584962500721156,2.7527152789797054,1.584962500721156,2.599581230646064,1.584962500721156,1.9182958340544896,1.584962500721156,1.9182958340544896,1.9182958340544896,1.9182958340544896,1.584962500721156,2.7179717342678003,1.584962500721156,2.2516291673878226,2.808454330929235,1.584962500721156,3.0860486123130375,2.9719628544813346,1.584962500721156,1.584962500721156,3.5995397085636025,2.682588730501833,2.9719628544813346,1.584962500721156,2.113283334294875,1.9182958340544896,2.6632908081776603,2.682588730501833,1.584962500721156,2.855388542207534,1.9182958340544896,1.584962500721156,1.584962500721156,2.113283334294875,2.2516291673878226,3.167509460963901,1.9182958340544896,2.4193819456463714,1.9182958340544896,2.4193819456463714,2.522055208874201,2.522055208874201,2.2516291673878226,1.584962500721156,2.808454330929235,1.584962500721156,3.182490186751775,2.113283334294875,2.808454330929235,2.599581230646064,2.2516291673878226,1.584962500721156,2.4193819456463714,1.584962500721156,2.2516291673878226,2.4193819456463714,2.4193819456463714,2.522055208874201,2.8491568534184415,1.584962500721156,2.682588730501833,2.113283334294875,2.2516291673878226,2.2516291673878226,3.0503760424479194,1.584962500721156,2.7527152789797054,3.30827083453526,3.0256051990169435,2.4193819456463714,2.584962500721156,2.682588730501833,1.584962500721156,2.8486037302133704,2.113283334294875,2.2516291673878226,1.584962500721156,2.584962500721156,1.584962500721156,1.9182958340544896,1.9182958340544896,2.682588730501833,2.855388542207534,2.2516291673878226,2.7799500009615414,1.584962500721156,2.8491568534184415,2.3589385323502774,1.584962500721156,3.0694497774259077,1.584962500721156,2.986035498760508,1.584962500721156,1.9182958340544896,2.251629167387823,1.584962500721156,1.9182958340544896,1.584962500721156,2.7799500009615414,2.918295834054489,2.522055208874201,1.9182958340544896,1.584962500721156,1.584962500721156,2.599581230646064,2.584962500721156,1.584962500721156,1.584962500721156,1.9182958340544896,1.9182958340544896,1.584962500721156,2.4193819456463714,1.584962500721156,1.9182958340544896,2.8872593659239962,1.584962500721156,1.584962500721156,2.522055208874201,1.584962500721156,1.584962500721156,2.2516291673878226,2.599581230646064,1.584962500721156,2.113283334294875,2.2516291673878226,1.584962500721156,2.682588730501833,3.0533264751338023,1.9182958340544896,1.584962500721156,1.584962500721156,2.809356946127142,2.7799500009615414,1.584962500721156,3.259072560751753,1.584962500721156,1.584962500721156,2.113283334294875,2.522055208874201,1.9182958340544896,3.1065729198452594,1.584962500721156,1.584962500721156,2.4193819456463714,2.986035498760508,2.599581230646064,2.4193819456463714,1.584962500721156,1.584962500721156,1.584962500721156,2.2516291673878226,2.251629167387823,1.584962500721156,1.9182958340544896,2.4193819456463714,2.986035498760508,2.599581230646064,1.584962500721156,1.9182958340544896,2.584962500721156,3.106572919845259,2.94770277922009,1.584962500721156,3.1933579772754928,1.584962500721156,1.584962500721156,2.7799500009615414,1.584962500721156,2.522055208874201,3.0694497774259077,1.9182958340544896,3.0533264751338023,2.7661506484543548,3.0533264751338023,1.9182958340544896,1.9182958340544896,1.584962500721156,2.2516291673878226,2.4193819456463714,2.4193819456463714,1.9182958340544896,2.682588730501833,2.2516291673878226,1.584962500721156,2.599581230646064,2.7799500009615414,2.918295834054489,2.584962500721156,3.5694443535153337,1.584962500721156,2.8486037302133704,2.682588730501833,1.9182958340544896,3.2195232432512086,2.113283334294875,2.7179717342678003,2.522055208874201,2.682588730501833,3.150351557463162,2.4193819456463714,2.8491568534184415,3.56743921076335,3.30827083453526,2.4193819456463714,2.4193819456463714,2.522055208874201,2.2516291673878226,1.584962500721156,2.4193819456463714,2.94770277922009,2.113283334294875,1.9182958340544896,2.682588730501833,2.6632908081776603,2.4193819456463714,1.584962500721156,2.113283334294875,3.3967799230124602,3.296297089471336,1.9182958340544896,3.0860486123130384,2.9719628544813346,1.584962500721156,1.584962500721156,2.251629167387823,3.0159220638351667,2.2516291673878226,1.584962500721156,2.8846053692407603,1.584962500721156,1.584962500721156,2.682588730501833,3.2478623034839886,2.7179717342678003,1.584962500721156,2.4193819456463714,3.425695140793018,1.584962500721156,2.932914563979398,3.138854608342479,2.986035498760508,2.251629167387823,1.584962500721156,3.0159220638351667,1.584962500721156,1.584962500721156,1.9182958340544896,2.3589385323502774,1.584962500721156,2.7799500009615414,3.3492553971684997,2.113283334294875,2.522055208874201,2.682588730501833,2.682588730501833,1.584962500721156,1.584962500721156,1.584962500721156,1.9182958340544896,3.0256051990169435,1.584962500721156,1.584962500721156,1.584962500721156,1.9182958340544896,2.251629167387823,1.584962500721156,1.584962500721156,1.584962500721156,2.9477027792200907,2.8491568534184415,2.113283334294875,2.4193819456463714,1.584962500721156,1.9182958340544896,2.584962500721156,2.4193819456463714,2.4193819456463714,1.584962500721156,1.9182958340544896,2.4466166676282084,3.563412015583419,3.8791077724598124,2.808454330929235,3.4372792271601846,2.5207474747403578,3.403571490706663,3.30827083453526,3.0159220638351667,3.2516291673878226,1.9182958340544896,2.4193819456463714,2.682588730501833,2.4193819456463714,1.584962500721156,2.522055208874201,2.4193819456463714,2.9719628544813346,2.808454330929235,2.8491568534184415,2.7799500009615414,2.7527152789797054,2.599581230646064,2.9719628544813346,1.9182958340544896,2.8491568534184415,3.0694497774259077,2.8491568534184415,2.9719628544813346,3.355166919665573,2.113283334294875,2.918295834054489,1.584962500721156,2.2516291673878226,2.2516291673878226,2.2516291673878226,1.9182958340544896,3.6262881048232476,2.855388542207534,1.584962500721156,1.584962500721156,1.9182958340544896,1.9182958340544896,2.918295834054489,1.9182958340544896,2.9477027792200907,2.113283334294875,1.584962500721156,1.584962500721156,1.9182958340544896,1.9182958340544896,1.9182958340544896,2.7527152789797054,2.8491568534184415,1.584962500721156,2.9778249169539825,1.584962500721156,2.8491568534184415,2.8491568534184415,1.584962500721156,2.113283334294875,2.522055208874201,2.599581230646064,2.7179717342678003,1.584962500721156,1.9182958340544896,1.584962500721156,2.752715278979705,2.903107168362811,1.9182958340544896,1.9182958340544896,3.7688451369148397,1.584962500721156,1.584962500721156,2.4193819456463714,1.9182958340544896,2.7799500009615414,1.584962500721156,1.9182958340544896,1.584962500721156,3.447142293731229,1.9182958340544896,1.9182958340544896,2.113283334294875,1.9182958340544896,1.9182958340544896,2.584962500721156,2.682588730501833,2.918295834054489,3.3967799230124602,1.9182958340544896,2.808454330929235,3.5002836880550534,1.9182958340544896,2.7527152789797054,3.462777071053416,3.3774776869921603,3.2288853005890776,2.599581230646064,2.7179717342678003,2.113283334294875,1.584962500721156,1.584962500721156,1.584962500721156,2.2516291673878226,1.584962500721156,1.584962500721156,2.2516291673878226,1.584962500721156,1.584962500721156,2.4193819456463714,1.9182958340544896,1.9182958340544896,2.855388542207534,2.2516291673878226,2.903107168362811,1.584962500721156,1.9182958340544896,2.2516291673878226,1.584962500721156,1.584962500721156,1.584962500721156,2.682588730501833,2.7527152789797054,2.584962500721156,2.4466166676282084,2.522055208874201,1.584962500721156,2.113283334294875,1.584962500721156,2.9719628544813346,2.2516291673878226,1.584962500721156,1.584962500721156,2.4193819456463714,1.9182958340544896,2.522055208874201,1.584962500721156,2.682588730501833,2.599581230646064,1.9182958340544896,2.113283334294875,1.584962500721156,1.9182958340544896,2.7799500009615414,2.3589385323502774,2.2516291673878226,2.584962500721156,1.584962500721156,2.855388542207534,2.3589385323502774,2.808454330929235,2.4193819456463714,1.584962500721156,2.113283334294875,1.584962500721156,1.584962500721156,3.150351557463162,2.94770277922009,3.0198900191410676,2.113283334294875,2.7799500009615414,3.0198900191410676,2.918295834054489,2.4193819456463714,2.113283334294875,1.9182958340544896,2.113283334294875,1.584962500721156,2.809356946127142,1.584962500721156,1.9182958340544896,1.9182958340544896,1.9182958340544896,1.9182958340544896,2.2516291673878226,2.5207474747403578,2.7799500009615414,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.9182958340544896,1.584962500721156,1.9182958340544896,2.113283334294875,1.584962500721156,2.4193819456463714,1.584962500721156,1.9182958340544896,1.584962500721156,1.584962500721156,2.522055208874201,1.584962500721156,3.0694497774259077,1.9182958340544896,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],\"yaxis\":\"y\",\"type\":\"bar\"}], {\"template\":{\"data\":{\"histogram2dcontour\":[{\"type\":\"histogram2dcontour\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"choropleth\":[{\"type\":\"choropleth\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"histogram2d\":[{\"type\":\"histogram2d\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"heatmap\":[{\"type\":\"heatmap\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"heatmapgl\":[{\"type\":\"heatmapgl\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"contourcarpet\":[{\"type\":\"contourcarpet\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"contour\":[{\"type\":\"contour\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"surface\":[{\"type\":\"surface\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"mesh3d\":[{\"type\":\"mesh3d\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"scatter\":[{\"fillpattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2},\"type\":\"scatter\"}],\"parcoords\":[{\"type\":\"parcoords\",\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterpolargl\":[{\"type\":\"scatterpolargl\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"scattergeo\":[{\"type\":\"scattergeo\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterpolar\":[{\"type\":\"scatterpolar\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"scattergl\":[{\"type\":\"scattergl\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatter3d\":[{\"type\":\"scatter3d\",\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scattermapbox\":[{\"type\":\"scattermapbox\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterternary\":[{\"type\":\"scatterternary\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scattercarpet\":[{\"type\":\"scattercarpet\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}]},\"layout\":{\"autotypenumbers\":\"strict\",\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"hovermode\":\"closest\",\"hoverlabel\":{\"align\":\"left\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"bgcolor\":\"#E5ECF6\",\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"ternary\":{\"bgcolor\":\"#E5ECF6\",\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]]},\"xaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"automargin\":true,\"zerolinewidth\":2},\"yaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"automargin\":true,\"zerolinewidth\":2},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"geo\":{\"bgcolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"subunitcolor\":\"white\",\"showland\":true,\"showlakes\":true,\"lakecolor\":\"white\"},\"title\":{\"x\":0.05},\"mapbox\":{\"style\":\"light\"}}},\"xaxis\":{\"anchor\":\"y\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"Taxonomy\"},\"tickangle\":90},\"yaxis\":{\"anchor\":\"x\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"Shannon Diversity\"}},\"coloraxis\":{\"colorbar\":{\"title\":{\"text\":\"Shannon Diversity\"}},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"legend\":{\"tracegroupgap\":0},\"title\":{\"text\":\"Alpha Diversity Analysis\"},\"barmode\":\"relative\",\"height\":600}, {\"responsive\": true} ).then(function(){\n",
" \n",
"var gd = document.getElementById('dd5d5c40-cdc6-4b22-887d-de206c508237');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
" console.log([gd, 'removed!']);\n",
" Plotly.purge(gd);\n",
" observer.disconnect();\n",
" }}\n",
"}});\n",
"\n",
"// Listen for the removal of the full notebook cells\n",
"var notebookContainer = gd.closest('#notebook-container');\n",
"if (notebookContainer) {{\n",
" x.observe(notebookContainer, {childList: true});\n",
"}}\n",
"\n",
"// Listen for the clearing of the current output cell\n",
"var outputEl = gd.closest('.output');\n",
"if (outputEl) {{\n",
" x.observe(outputEl, {childList: true});\n",
"}}\n",
"\n",
" }) }; </script> </div>\n",
"</body>\n",
"</html>"
]
},
"metadata": {}
}
],
"source": [
"from skbio.diversity import alpha_diversity\n",
"import plotly.express as px\n",
"\n",
"# Assuming 'ASD_meta' is your DataFrame with abundance data\n",
"\n",
"# Convert abundance columns to numeric type\n",
"abundance_columns = ASD_meta.columns.difference(['Taxonomy'])\n",
"ASD_meta[abundance_columns] = ASD_meta[abundance_columns].apply(pd.to_numeric, errors='coerce')\n",
"\n",
"# Now proceed with alpha diversity analysis\n",
"alpha_diversity_result = alpha_diversity('shannon', ASD_meta.iloc[:, 1:], ids=ASD_meta['Taxonomy'])\n",
"alpha_diversity_df = pd.DataFrame(alpha_diversity_result, index=ASD_meta['Taxonomy'], columns=['Shannon_Diversity'])\n",
"\n",
"# Display or save the alpha diversity results\n",
"print(alpha_diversity_df)\n",
"\n",
"# Visualize the alpha diversity using Plotly\n",
"fig6 = px.bar(alpha_diversity_df, x=alpha_diversity_df.index, y='Shannon_Diversity',\n",
" labels={'Shannon_Diversity': 'Shannon Diversity'},\n",
" title='Alpha Diversity Analysis',\n",
" height=600, color='Shannon_Diversity')\n",
"fig6.update_xaxes(tickangle=90)\n",
"fig6.show()"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {
"id": "fvL7wXYChCVw"
},
"outputs": [],
"source": [
"\n"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"id": "OxWYgqd7c5Z5",
"outputId": "3ee86ee3-094e-44cb-a172-4ecc345d96c0"
},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/html": [
"<html>\n",
"<head><meta charset=\"utf-8\" /></head>\n",
"<body>\n",
" <div> <script src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\"></script><script type=\"text/javascript\">if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script> <script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\n",
" <script charset=\"utf-8\" src=\"https://cdn.plot.ly/plotly-2.24.1.min.js\"></script> <div id=\"2e084635-5058-4bd4-87b6-4d4b825833ba\" class=\"plotly-graph-div\" style=\"height:1000px; width:100%;\"></div> <script type=\"text/javascript\"> window.PLOTLYENV=window.PLOTLYENV || {}; if (document.getElementById(\"2e084635-5058-4bd4-87b6-4d4b825833ba\")) { Plotly.newPlot( \"2e084635-5058-4bd4-87b6-4d4b825833ba\", [{\"alignmentgroup\":\"True\",\"hovertemplate\":\"Taxonomy=%{x}\\u003cbr\\u003eShannon Diversity=%{marker.color}\\u003cextra\\u003e\\u003c\\u002fextra\\u003e\",\"legendgroup\":\"\",\"marker\":{\"color\":[3.8791077724598124,3.8772476236760407,3.8768709981223317,3.876647046693464,3.872388537779507,3.8721311514427432,3.872071397474532,3.8691239882597848,3.867608032783135,3.8674014373690797,3.8670707179217123,3.8668736504812755,3.8666750733955553,3.865679164339238,3.865664424436938,3.865577155376025,3.86396152233566,3.863878594909861,3.863596280106621,3.863445692504641,3.863082874674428,3.8626896739525334,3.861832347408061,3.8618176618006888,3.861191837882432,3.861092748207502,3.8607076471731077,3.860472640114841,3.860267134609956,3.8602284635054978,3.8598170316040354,3.859042339414434,3.85871052485799,3.858705250980592,3.8582985491637496,3.8581696315710414,3.8581256384075613,3.8577116439668706,3.8574828326049104,3.85708916531183,3.8569341114061206,3.8564352984863497,3.8563799305470035,3.8559892254022623,3.855879084206128,3.85487266623602,3.85447180847801,3.853957966084458,3.8538154936621476,3.853749970743596,3.8536565291203706,3.853327154628108,3.8529270071027897,3.852571982682262,3.852266630461668,3.852034309185064,3.8518706977600408,3.851787520727151,3.8514185028260104,3.851041220594617,3.8509288815233624,3.8508867256479364,3.850877101258395,3.8506670619354453,3.850649500496665,3.8506320215118457,3.8505237298303236,3.850110167432648,3.8499349252176414,3.849862008086937,3.8498376843748234,3.8497529931193797,3.8495519246055303,3.849460915217275,3.848650478677014,3.8485755653865232,3.848510251636161,3.8482030311068995,3.847958308945583,3.8477576379447402,3.847459719384252,3.847376465807095,3.8472500158022696,3.84721719353751,3.8471120424550276,3.847047612858354,3.8470357081996776,3.846970427049567,3.8468931614937754,3.846483300382639,3.846347223055852,3.8461979208145785,3.84549341605988,3.8452995495962847,3.8452245222235146,3.8447184701016677,3.8443751679409464,3.8443663032531425,3.8442824963783253,3.8441940085471105],\"coloraxis\":\"coloraxis\",\"pattern\":{\"shape\":\"\"}},\"name\":\"\",\"offsetgroup\":\"\",\"orientation\":\"v\",\"showlegend\":false,\"textposition\":\"auto\",\"x\":[\"g__Unclassified;s__uncultured bacterium 21f12\",\"g__Flavonifractor;s__Flavonifractor plautii\",\"g__Clostridioides;s__Clostridioides difficile\",\"g__Lachnoclostridium;s__[Clostridium] clostridioforme\",\"g__Clostridium;s__Clostridium sp. ATCC BAA-442\",\"g__Bacteroides;s__Bacteroides vulgatus CAG:6\",\"g__Faecalibacterium;s__Faecalibacterium prausnitzii\",\"g__Bacteroides;s__Bacteroides vulgatus\",\"g__Dorea;s__Dorea formicigenerans\",\"g__Lachnoclostridium;s__[Eubacterium] contortum\",\"g__Unclassified;s__[Eubacterium] dolichum\",\"g__Oscillibacter;s__Oscillibacter sp. KLE 1745\",\"g__Blautia;s__Blautia hansenii\",\"g__Blautia;s__Blautia wexlerae\",\"g__Unclassified;s__Clostridiales bacterium VE202-16\",\"g__Clostridium;s__Clostridium sp. HGF2\",\"g__Blautia;s__uncultured Blautia sp.\",\"g__Bacteroides;s__Bacteroides sp. 4_3_47FAA\",\"g__Bacteroides;s__Bacteroides fragilis\",\"g__Unclassified;s__Firmicutes bacterium CAG:424\",\"g__Unclassified;s__Lachnospiraceae bacterium A4\",\"g__Clostridium;s__Clostridium sp. BR31\",\"g__Blautia;s__Blautia sp. Marseille-P2398\",\"g__Unclassified;s__Clostridiales bacterium VE202-03\",\"g__Clostridium;s__Clostridium sp. 12(A)\",\"g__Bacteroides;s__Bacteroides ovatus\",\"g__Blautia;s__Blautia producta\",\"g__Dorea;s__Dorea sp. 5-2\",\"g__Clostridium;s__uncultured Clostridium sp.\",\"g__Ruthenibacterium;s__Ruthenibacterium lactatiformans\",\"g__Unclassified;s__Ruminococcaceae bacterium GD6\",\"g__Faecalibacterium;s__uncultured Faecalibacterium sp.\",\"g__Eubacterium;s__Eubacterium ramulus\",\"g__Parabacteroides;s__Parabacteroides sp. D13\",\"g__Marvinbryantia;s__Marvinbryantia formatexigens\",\"g__Unclassified;s__Oscillospiraceae bacterium VE202-24\",\"g__Unclassified;s__Lachnospiraceae bacterium 1_4_56FAA\",\"g__Bacteroides;s__Bacteroides thetaiotaomicron\",\"g__Unclassified;s__Lachnospiraceae bacterium M18-1\",\"g__Blautia;s__Blautia sp. YL58\",\"g__Unclassified;s__Eubacteriaceae bacterium CHKCI004\",\"g__Bacteroides;s__Bacteroides sp. D1\",\"g__Oscillibacter;s__uncultured Oscillibacter sp.\",\"g__Eubacterium;s__Eubacterium plexicaudatum\",\"g__Stigmatella;s__Stigmatella aurantiaca\",\"g__Blautia;s__Blautia schinkii\",\"g__Eubacterium;s__Eubacterium sp. ER2\",\"g__Eubacterium;s__[Eubacterium] hallii\",\"g__Lachnoclostridium;s__Lachnoclostridium sp. YL32\",\"g__Unclassified;s__Erysipelotrichaceae bacterium 3_1_53\",\"g__Clostridium;s__Clostridium sp. 7_3_54FAA\",\"g__Bacteroides;s__Bacteroides sp. 1_1_6\",\"g__Oscillibacter;s__Oscillibacter sp. KLE 1728\",\"g__Enterococcus;s__Enterococcus faecium\",\"g__Clostridium;s__Clostridium sp. CAG:81\",\"g__Clostridium;s__Clostridium sp. ASF502\",\"g__Oribacterium;s__Oribacterium sp. oral taxon 078\",\"g__Lachnoclostridium;s__[Clostridium] scindens\",\"g__Blautia;s__Blautia sp. SF-50\",\"g__Lachnoclostridium;s__[Clostridium] saccharolyticum\",\"g__Unclassified;s__Ruminococcaceae bacterium D16\",\"g__Bulleidia;s__Bulleidia extructa\",\"g__Unclassified;s__[Bacteroides] pectinophilus\",\"g__Bacteroides;s__Bacteroides dorei\",\"g__Unclassified;s__butyrate-producing bacterium SS3_4\",\"g__Bacteroides;s__Bacteroides sp. 2_2_4\",\"g__Unclassified;s__Lachnospiraceae bacterium 3-1\",\"g__Stenotrophomonas;s__Stenotrophomonas terrae\",\"g__Bacteroides;s__Bacteroides sp. 3_1_40A\",\"g__Bacteroides;s__Bacteroides sp. 1_1_14\",\"g__Unclassified;s__Lachnospiraceae bacterium 9_1_43BFAA\",\"g__Clostridium;s__Clostridium sp. D5\",\"g__Anaerobium;s__Anaerobium acetethylicum\",\"g__Ruminococcus;s__Ruminococcus sp. Marseille-P2976\",\"g__Eubacterium;s__[Eubacterium] eligens\",\"g__Parabacteroides;s__Parabacteroides sp. 20_3\",\"g__Catenibacterium;s__Catenibacterium mitsuokai\",\"g__Bacteroides;s__Bacteroides sp. 1_1_30\",\"g__Unclassified;s__Clostridiales bacterium VE202-21\",\"g__Unclassified;s__uncultured bacterium\",\"g__Robinsoniella;s__Robinsoniella peoriensis\",\"g__Clostridium;s__Clostridium sp. SS2_1\",\"g__Ruminococcus;s__Ruminococcus sp. CAG:9\",\"g__Lachnoclostridium;s__[Desulfotomaculum] guttoideum\",\"g__Parabacteroides;s__Parabacteroides distasonis\",\"g__Clostridium;s__Clostridium cadaveris\",\"g__Unclassified;s__Lachnospiraceae bacterium 3-2\",\"g__Dorea;s__Dorea sp. AGR2135\",\"g__Ruminococcus;s__Ruminococcus sp. 5_1_39BFAA\",\"g__Capnocytophaga;s__Capnocytophaga sp. oral taxon 332\",\"g__Clostridium;s__Clostridium botulinum\",\"g__Unclassified;s__Lachnospiraceae bacterium 5_1_57FAA\",\"g__Bacteroides;s__Bacteroides uniformis\",\"g__Parabacteroides;s__Parabacteroides sp. 2_1_7\",\"g__Clostridium;s__Clostridium sp. C105KSO13\",\"g__Unclassified;s__bacterium MS4\",\"g__Acetivibrio;s__Acetivibrio ethanolgignens\",\"g__Blautia;s__Blautia sp. CAG:257\",\"g__Clostridium;s__Clostridium sp. SY8519\",\"g__Ruminiclostridium;s__[Clostridium] methylpentosum\"],\"xaxis\":\"x\",\"y\":[3.8791077724598124,3.8772476236760407,3.8768709981223317,3.876647046693464,3.872388537779507,3.8721311514427432,3.872071397474532,3.8691239882597848,3.867608032783135,3.8674014373690797,3.8670707179217123,3.8668736504812755,3.8666750733955553,3.865679164339238,3.865664424436938,3.865577155376025,3.86396152233566,3.863878594909861,3.863596280106621,3.863445692504641,3.863082874674428,3.8626896739525334,3.861832347408061,3.8618176618006888,3.861191837882432,3.861092748207502,3.8607076471731077,3.860472640114841,3.860267134609956,3.8602284635054978,3.8598170316040354,3.859042339414434,3.85871052485799,3.858705250980592,3.8582985491637496,3.8581696315710414,3.8581256384075613,3.8577116439668706,3.8574828326049104,3.85708916531183,3.8569341114061206,3.8564352984863497,3.8563799305470035,3.8559892254022623,3.855879084206128,3.85487266623602,3.85447180847801,3.853957966084458,3.8538154936621476,3.853749970743596,3.8536565291203706,3.853327154628108,3.8529270071027897,3.852571982682262,3.852266630461668,3.852034309185064,3.8518706977600408,3.851787520727151,3.8514185028260104,3.851041220594617,3.8509288815233624,3.8508867256479364,3.850877101258395,3.8506670619354453,3.850649500496665,3.8506320215118457,3.8505237298303236,3.850110167432648,3.8499349252176414,3.849862008086937,3.8498376843748234,3.8497529931193797,3.8495519246055303,3.849460915217275,3.848650478677014,3.8485755653865232,3.848510251636161,3.8482030311068995,3.847958308945583,3.8477576379447402,3.847459719384252,3.847376465807095,3.8472500158022696,3.84721719353751,3.8471120424550276,3.847047612858354,3.8470357081996776,3.846970427049567,3.8468931614937754,3.846483300382639,3.846347223055852,3.8461979208145785,3.84549341605988,3.8452995495962847,3.8452245222235146,3.8447184701016677,3.8443751679409464,3.8443663032531425,3.8442824963783253,3.8441940085471105],\"yaxis\":\"y\",\"type\":\"bar\"}], {\"template\":{\"data\":{\"histogram2dcontour\":[{\"type\":\"histogram2dcontour\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"choropleth\":[{\"type\":\"choropleth\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"histogram2d\":[{\"type\":\"histogram2d\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"heatmap\":[{\"type\":\"heatmap\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"heatmapgl\":[{\"type\":\"heatmapgl\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"contourcarpet\":[{\"type\":\"contourcarpet\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"contour\":[{\"type\":\"contour\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"surface\":[{\"type\":\"surface\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"mesh3d\":[{\"type\":\"mesh3d\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"scatter\":[{\"fillpattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2},\"type\":\"scatter\"}],\"parcoords\":[{\"type\":\"parcoords\",\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterpolargl\":[{\"type\":\"scatterpolargl\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"scattergeo\":[{\"type\":\"scattergeo\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterpolar\":[{\"type\":\"scatterpolar\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"scattergl\":[{\"type\":\"scattergl\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatter3d\":[{\"type\":\"scatter3d\",\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scattermapbox\":[{\"type\":\"scattermapbox\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterternary\":[{\"type\":\"scatterternary\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scattercarpet\":[{\"type\":\"scattercarpet\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}]},\"layout\":{\"autotypenumbers\":\"strict\",\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"hovermode\":\"closest\",\"hoverlabel\":{\"align\":\"left\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"bgcolor\":\"#E5ECF6\",\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"ternary\":{\"bgcolor\":\"#E5ECF6\",\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]]},\"xaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"automargin\":true,\"zerolinewidth\":2},\"yaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"automargin\":true,\"zerolinewidth\":2},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"geo\":{\"bgcolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"subunitcolor\":\"white\",\"showland\":true,\"showlakes\":true,\"lakecolor\":\"white\"},\"title\":{\"x\":0.05},\"mapbox\":{\"style\":\"light\"}}},\"xaxis\":{\"anchor\":\"y\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"Taxonomy\"},\"tickangle\":45},\"yaxis\":{\"anchor\":\"x\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"Shannon Diversity\"}},\"coloraxis\":{\"colorbar\":{\"title\":{\"text\":\"Shannon Diversity\"}},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"legend\":{\"tracegroupgap\":0},\"title\":{\"text\":\"Top 100 Taxa - Shannon Diversity\"},\"barmode\":\"relative\",\"height\":1000}, {\"responsive\": true} ).then(function(){\n",
" \n",
"var gd = document.getElementById('2e084635-5058-4bd4-87b6-4d4b825833ba');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
" console.log([gd, 'removed!']);\n",
" Plotly.purge(gd);\n",
" observer.disconnect();\n",
" }}\n",
"}});\n",
"\n",
"// Listen for the removal of the full notebook cells\n",
"var notebookContainer = gd.closest('#notebook-container');\n",
"if (notebookContainer) {{\n",
" x.observe(notebookContainer, {childList: true});\n",
"}}\n",
"\n",
"// Listen for the clearing of the current output cell\n",
"var outputEl = gd.closest('.output');\n",
"if (outputEl) {{\n",
" x.observe(outputEl, {childList: true});\n",
"}}\n",
"\n",
" }) }; </script> </div>\n",
"</body>\n",
"</html>"
]
},
"metadata": {}
}
],
"source": [
"# Sort the DataFrame by Shannon diversity in descending order and select the top 50 taxa\n",
"top_50_alpha_diversity_df = alpha_diversity_df.sort_values(by='Shannon_Diversity', ascending=False).head(100)\n",
"\n",
"# Visualize the top 50 alpha diversity using Plotly (vertical bar plot)\n",
"fig7 = px.bar(top_50_alpha_diversity_df, x=top_50_alpha_diversity_df.index, y='Shannon_Diversity',\n",
" labels={'Shannon_Diversity': 'Shannon Diversity'},\n",
" title='Top 100 Taxa - Shannon Diversity',\n",
" height=1000, color='Shannon_Diversity') # Adjust height as needed\n",
"fig7.update_xaxes(tickangle=45) # Rotate x-axis labels for better readability\n",
"fig7.show()"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"id": "qsQ9YGGLdbbb",
"outputId": "759c6428-7db0-434b-a1da-1f442a8aa278"
},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/html": [
"<html>\n",
"<head><meta charset=\"utf-8\" /></head>\n",
"<body>\n",
" <div> <script src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\"></script><script type=\"text/javascript\">if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script> <script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\n",
" <script charset=\"utf-8\" src=\"https://cdn.plot.ly/plotly-2.24.1.min.js\"></script> <div id=\"1c989115-940c-4452-bfca-704e9823ce13\" class=\"plotly-graph-div\" style=\"height:1000px; width:100%;\"></div> <script type=\"text/javascript\"> window.PLOTLYENV=window.PLOTLYENV || {}; if (document.getElementById(\"1c989115-940c-4452-bfca-704e9823ce13\")) { Plotly.newPlot( \"1c989115-940c-4452-bfca-704e9823ce13\", [{\"alignmentgroup\":\"True\",\"hovertemplate\":\"Taxonomy=%{x}\\u003cbr\\u003eShannon Diversity=%{marker.color}\\u003cextra\\u003e\\u003c\\u002fextra\\u003e\",\"legendgroup\":\"\",\"marker\":{\"color\":[1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156],\"coloraxis\":\"coloraxis\",\"pattern\":{\"shape\":\"\"}},\"name\":\"\",\"offsetgroup\":\"\",\"orientation\":\"v\",\"showlegend\":false,\"textposition\":\"auto\",\"x\":[\"g__Burkholderia;s__Burkholderia sp. yr281\",\"g__Unclassified;s__Sphingomonadales bacterium GWF1_63_6\",\"g__Acidithrix;s__Acidithrix ferrooxidans\",\"g__Sphingomonas;s__Sphingomonas sp. Y57\",\"g__Sphingomonas;s__Sphingomonas sp. PR090111-T3T-6A\",\"g__Sphingomonas;s__Sphingomonas sp. PAMC 26605\",\"g__Sphingomonas;s__Sphingomonas hankookensis\",\"g__Sphingobium;s__Sphingobium barthaii\",\"g__Novosphingobium;s__Novosphingobium resinovorum\",\"g__Unclassified;s__Rhodospirillales bacterium URHD0088\",\"g__Actinomyces;s__Actinomyces israelii\",\"g__Actinomyces;s__Actinomyces slackii\",\"g__Azospirillum;s__Azospirillum lipoferum\",\"g__Azospirillum;s__Azospirillum brasilense\",\"g__Komagataeibacter;s__Komagataeibacter hansenii\",\"g__Arcanobacterium;s__Arcanobacterium haemolyticum\",\"g__Commensalibacter;s__Commensalibacter intestini\",\"g__Acidocella;s__Acidocella aminolytica\",\"g__Sulfitobacter;s__Sulfitobacter pseudonitzschiae\",\"g__Sulfitobacter;s__Sulfitobacter noctilucicola\",\"g__Alloscardovia;s__Alloscardovia sp. HMSC034E08\",\"g__Pseudovibrio;s__Pseudovibrio sp. Ad37\",\"g__Paracoccus;s__Paracoccus homiensis\",\"g__Paracoccus;s__Paracoccus alkenifer\",\"g__Bordetella;s__Bordetella bronchiseptica\",\"g__Oceanicola;s__Oceanicola sp. S124\",\"g__Unclassified;s__Acidobacteria bacterium RIFCSPLOWO2_02_FULL_65_29\",\"g__Unclassified;s__Acidobacteria bacterium RBG_13_68_16\",\"g__Candidatus Koribacter;s__Candidatus Koribacter versatilis\",\"g__Giesbergeria;s__Giesbergeria anulus\",\"g__Diaphorobacter;s__Diaphorobacter sp. J5-51\",\"g__Delftia;s__Delftia sp. RIT313\",\"g__Candidatus Symbiobacter;s__Candidatus Symbiobacter mobilis\",\"g__Caldimonas;s__Caldimonas manganoxidans\",\"g__Acidovorax;s__Acidovorax sp. 12322-1\",\"g__Acidovorax;s__Acidovorax delafieldii\",\"g__Unclassified;s__Burkholderiaceae bacterium 16\",\"g__Pandoraea;s__Pandoraea thiooxydans\",\"g__Lautropia;s__Lautropia sp. SCN 70-15\",\"g__Lautropia;s__Lautropia sp. SCN 69-89\",\"g__Cupriavidus;s__Cupriavidus metallidurans\",\"g__Cupriavidus;s__Cupriavidus basilensis\",\"g__Chitinimonas;s__Chitinimonas koreensis\",\"g__Caballeronia;s__Paraburkholderia humi\",\"g__Caballeronia;s__Burkholderia cordobensis\",\"g__Terriglobus;s__Terriglobus sp. TAA 43\",\"g__Burkholderia;s__Burkholderia sp. CCA53\",\"g__Burkholderia;s__Burkholderia pyrrocinia\",\"g__Burkholderia;s__Burkholderia multivorans\",\"g__Pyrinomonas;s__Pyrinomonas methylaliphatogenes\",\"g__Bryobacter;s__Bryobacter aggregatus\",\"g__Unclassified;s__Acidobacteria bacterium RIFCSPLOWO2_02_FULL_59_13\",\"g__Ramlibacter;s__Ramlibacter sp. Leaf400\",\"g__Bifidobacterium;s__Bifidobacterium choerinum\",\"g__Leisingera;s__Leisingera aquimarina\",\"g__Bradyrhizobium;s__Bradyrhizobium sp. R5\",\"g__Bosea;s__Bosea sp. UNC402CLCol\",\"g__Rhodococcus;s__Rhodococcus erythropolis\",\"g__Aureimonas;s__Aureimonas sp. AU40\",\"g__Aureimonas;s__Aureimonas sp. AU12\",\"g__Candidatus Pelagibacter;s__Candidatus Pelagibacter sp. IMCC9063\",\"g__Brevundimonas;s__Brevundimonas abyssalis\",\"g__Acidithiobacillus;s__Acidithiobacillus thiooxidans\",\"g__Acidithiobacillus;s__Acidithiobacillus ferrivorans\",\"g__Unclassified;s__Planctomycetes bacterium RIFCSPLOWO2_12_38_17\",\"g__Unclassified;s__Planctomycetes bacterium RBG_16_41_13\",\"g__Unclassified;s__Planctomycetes bacterium GWC2_49_10\",\"g__Rhodopirellula;s__Rhodopirellula baltica\",\"g__Zavarzinella;s__Zavarzinella formosa\",\"g__Tsukamurella;s__Tsukamurella tyrosinosolvens\",\"g__Unclassified;s__Nitrospirae bacterium RBG_16_64_22\",\"g__Nitrospira;s__Nitrospira moscoviensis\",\"g__Geodermatophilus;s__Geodermatophilus africanus\",\"g__Unclassified;s__Nitrospinae bacterium RIFCSPLOWO2_12_39_15\",\"g__Nitrospina;s__Nitrospina sp. SCGC_AAA799_A02\",\"g__Gemmatimonas;s__Gemmatimonas aurantiaca\",\"g__Leptotrichia;s__Leptotrichia sp. oral taxon 879\",\"g__Leptotrichia;s__Leptotrichia sp. oral taxon 225\",\"g__Nitrobacter;s__Nitrobacter sp. Nb-311A\",\"g__Marinovum;s__Marinovum algicola\",\"g__Devosia;s__Devosia limi\",\"g__Devosia;s__Devosia sp. Root635\",\"g__Bifidobacterium;s__Bifidobacterium sp. A11\",\"g__Corynebacterium;s__Corynebacterium capitovis\",\"g__Dinoroseobacter;s__Dinoroseobacter shibae\",\"g__Celeribacter;s__Celeribacter halophilus\",\"g__Aliiroseovarius;s__Aliiroseovarius crassostreae\",\"g__Corynebacterium;s__Corynebacterium pseudotuberculosis\",\"g__Xanthobacter;s__Xanthobacter autotrophicus\",\"g__Unclassified;s__Rhizobiales bacterium CCH10-E5\",\"g__Corynebacterium;s__Corynebacterium sp. HMSC30G07\",\"g__Afifella;s__Afifella marina\",\"g__Rhizobium;s__Rhizobium sp. Root482\",\"g__Kaistia;s__Kaistia sp. SCN 65-12\",\"g__Candidatus Liberibacter;s__Candidatus Liberibacter solanacearum\",\"g__Agrobacterium;s__Agrobacterium sp. SUL3\",\"g__Phyllobacterium;s__Phyllobacterium sp. YR531\",\"g__Mycobacterium;s__Mycobacterium abscessus\",\"g__Mesorhizobium;s__Mesorhizobium sp. LSHC420B00\",\"g__Mesorhizobium;s__Mesorhizobium sp. LNJC399B00\"],\"xaxis\":\"x\",\"y\":[1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156,1.584962500721156],\"yaxis\":\"y\",\"type\":\"bar\"}], {\"template\":{\"data\":{\"histogram2dcontour\":[{\"type\":\"histogram2dcontour\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"choropleth\":[{\"type\":\"choropleth\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"histogram2d\":[{\"type\":\"histogram2d\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"heatmap\":[{\"type\":\"heatmap\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"heatmapgl\":[{\"type\":\"heatmapgl\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"contourcarpet\":[{\"type\":\"contourcarpet\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"contour\":[{\"type\":\"contour\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"surface\":[{\"type\":\"surface\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]}],\"mesh3d\":[{\"type\":\"mesh3d\",\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}],\"scatter\":[{\"fillpattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2},\"type\":\"scatter\"}],\"parcoords\":[{\"type\":\"parcoords\",\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterpolargl\":[{\"type\":\"scatterpolargl\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"scattergeo\":[{\"type\":\"scattergeo\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterpolar\":[{\"type\":\"scatterpolar\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"scattergl\":[{\"type\":\"scattergl\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatter3d\":[{\"type\":\"scatter3d\",\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scattermapbox\":[{\"type\":\"scattermapbox\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scatterternary\":[{\"type\":\"scatterternary\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"scattercarpet\":[{\"type\":\"scattercarpet\",\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}}}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}]},\"layout\":{\"autotypenumbers\":\"strict\",\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"hovermode\":\"closest\",\"hoverlabel\":{\"align\":\"left\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"bgcolor\":\"#E5ECF6\",\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"ternary\":{\"bgcolor\":\"#E5ECF6\",\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]]},\"xaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"automargin\":true,\"zerolinewidth\":2},\"yaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"automargin\":true,\"zerolinewidth\":2},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\",\"gridwidth\":2}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"geo\":{\"bgcolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"subunitcolor\":\"white\",\"showland\":true,\"showlakes\":true,\"lakecolor\":\"white\"},\"title\":{\"x\":0.05},\"mapbox\":{\"style\":\"light\"}}},\"xaxis\":{\"anchor\":\"y\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"Taxonomy\"},\"tickangle\":45},\"yaxis\":{\"anchor\":\"x\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"Shannon Diversity\"}},\"coloraxis\":{\"colorbar\":{\"title\":{\"text\":\"Shannon Diversity\"}},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"legend\":{\"tracegroupgap\":0},\"title\":{\"text\":\"Bottom 100 Taxa - Shannon Diversity\"},\"barmode\":\"relative\",\"height\":1000}, {\"responsive\": true} ).then(function(){\n",
" \n",
"var gd = document.getElementById('1c989115-940c-4452-bfca-704e9823ce13');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
" console.log([gd, 'removed!']);\n",
" Plotly.purge(gd);\n",
" observer.disconnect();\n",
" }}\n",
"}});\n",
"\n",
"// Listen for the removal of the full notebook cells\n",
"var notebookContainer = gd.closest('#notebook-container');\n",
"if (notebookContainer) {{\n",
" x.observe(notebookContainer, {childList: true});\n",
"}}\n",
"\n",
"// Listen for the clearing of the current output cell\n",
"var outputEl = gd.closest('.output');\n",
"if (outputEl) {{\n",
" x.observe(outputEl, {childList: true});\n",
"}}\n",
"\n",
" }) }; </script> </div>\n",
"</body>\n",
"</html>"
]
},
"metadata": {}
}
],
"source": [
"# Sort the DataFrame by Shannon diversity in ascending order and select the top 50 taxa\n",
"bottom_50_alpha_diversity_df = alpha_diversity_df.sort_values(by='Shannon_Diversity', ascending=True).head(100)\n",
"\n",
"# Visualize the bottom 50 alpha diversity using Plotly (vertical bar plot)\n",
"fig8 = px.bar(bottom_50_alpha_diversity_df, x=bottom_50_alpha_diversity_df.index, y='Shannon_Diversity',\n",
" labels={'Shannon_Diversity': 'Shannon Diversity'},\n",
" title='Bottom 100 Taxa - Shannon Diversity',\n",
" height=1000, color='Shannon_Diversity') # Adjust height as needed\n",
"fig8.update_xaxes(tickangle=45) # Rotate x-axis labels for better readability\n",
"fig8.show()"
]
},
{
"cell_type": "code",
"source": [
"##### Data Preprocessing"
],
"metadata": {
"id": "Wrf61Lv-zOj3"
},
"execution_count": 35,
"outputs": []
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 423
},
"id": "vDFMQ1nVnvz4",
"outputId": "a7ff8730-e085-48e1-d19f-421fa6b7c23a"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" Taxonomy A3 A5 A6 \\\n",
"0 g__Faecalibacterium;s__Faecalibacterium prausn... 4988 5060 2905 \n",
"1 g__Hungatella;s__Hungatella hathewayi 5803 5612 4109 \n",
"2 g__Clostridium;s__uncultured Clostridium sp. 3793 2795 1355 \n",
"3 g__Butyricimonas;s__Butyricimonas virosa 64 1385 725 \n",
"4 g__Alistipes;s__Alistipes indistinctus 15 20 723 \n",
"... ... ... ... ... \n",
"5614 g__Unclassified;s__Gordonia phage GTE2 0 0 0 \n",
"5615 g__Alphabaculovirus;s__Hyphantria cunea nucleo... 0 0 0 \n",
"5616 g__Potyvirus;s__Bean common mosaic virus 0 0 0 \n",
"5617 g__Potyvirus;s__Telosma mosaic virus 0 0 0 \n",
"5618 g__Unclassified;s__Freshwater phage uvFW-CGR-A... 0 0 0 \n",
"\n",
" A9 A31 A51 A52 A53 A54 ... B141 B142 B143 B152 B156 \\\n",
"0 5745 4822 3889 4646 6337 5064 ... 4910 4492 2812 5303 4205 \n",
"1 1432 2652 4175 3891 894 4903 ... 4222 4925 5753 1261 1822 \n",
"2 5558 5383 3505 5541 4429 4121 ... 3960 4403 2841 2746 3808 \n",
"3 1553 40 53 33 175 58 ... 55 35 8 884 13 \n",
"4 620 3261 43 83 37 43 ... 1027 2641 4 1587 2223 \n",
"... ... ... ... ... ... ... ... ... ... ... ... ... \n",
"5614 0 0 0 0 0 0 ... 0 0 0 0 0 \n",
"5615 0 0 0 0 0 0 ... 0 0 0 0 0 \n",
"5616 0 0 0 0 0 0 ... 0 0 0 0 0 \n",
"5617 0 0 0 0 0 0 ... 0 0 0 0 0 \n",
"5618 0 0 0 0 0 0 ... 0 0 0 0 0 \n",
"\n",
" B158 B164 TotalAbundance TotalAbundance1 TotalAbundance2 \n",
"0 3430 4563 287814 139530 148284 \n",
"1 2478 4868 214518 112922 101596 \n",
"2 3856 3211 227592 116323 111269 \n",
"3 3 218 27454 10583 16871 \n",
"4 6 1473 57406 30480 26926 \n",
"... ... ... ... ... ... \n",
"5614 0 0 0 0 0 \n",
"5615 0 0 0 0 0 \n",
"5616 0 0 0 0 0 \n",
"5617 0 0 0 0 0 \n",
"5618 0 0 0 0 0 \n",
"\n",
"[5619 rows x 64 columns]"
],
"text/html": [
"\n",
" <div id=\"df-a1e60ceb-2614-40b1-9a1f-68684ea78c2b\" class=\"colab-df-container\">\n",
" <div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Taxonomy</th>\n",
" <th>A3</th>\n",
" <th>A5</th>\n",
" <th>A6</th>\n",
" <th>A9</th>\n",
" <th>A31</th>\n",
" <th>A51</th>\n",
" <th>A52</th>\n",
" <th>A53</th>\n",
" <th>A54</th>\n",
" <th>...</th>\n",
" <th>B141</th>\n",
" <th>B142</th>\n",
" <th>B143</th>\n",
" <th>B152</th>\n",
" <th>B156</th>\n",
" <th>B158</th>\n",
" <th>B164</th>\n",
" <th>TotalAbundance</th>\n",
" <th>TotalAbundance1</th>\n",
" <th>TotalAbundance2</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>g__Faecalibacterium;s__Faecalibacterium prausn...</td>\n",
" <td>4988</td>\n",
" <td>5060</td>\n",
" <td>2905</td>\n",
" <td>5745</td>\n",
" <td>4822</td>\n",
" <td>3889</td>\n",
" <td>4646</td>\n",
" <td>6337</td>\n",
" <td>5064</td>\n",
" <td>...</td>\n",
" <td>4910</td>\n",
" <td>4492</td>\n",
" <td>2812</td>\n",
" <td>5303</td>\n",
" <td>4205</td>\n",
" <td>3430</td>\n",
" <td>4563</td>\n",
" <td>287814</td>\n",
" <td>139530</td>\n",
" <td>148284</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>g__Hungatella;s__Hungatella hathewayi</td>\n",
" <td>5803</td>\n",
" <td>5612</td>\n",
" <td>4109</td>\n",
" <td>1432</td>\n",
" <td>2652</td>\n",
" <td>4175</td>\n",
" <td>3891</td>\n",
" <td>894</td>\n",
" <td>4903</td>\n",
" <td>...</td>\n",
" <td>4222</td>\n",
" <td>4925</td>\n",
" <td>5753</td>\n",
" <td>1261</td>\n",
" <td>1822</td>\n",
" <td>2478</td>\n",
" <td>4868</td>\n",
" <td>214518</td>\n",
" <td>112922</td>\n",
" <td>101596</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>g__Clostridium;s__uncultured Clostridium sp.</td>\n",
" <td>3793</td>\n",
" <td>2795</td>\n",
" <td>1355</td>\n",
" <td>5558</td>\n",
" <td>5383</td>\n",
" <td>3505</td>\n",
" <td>5541</td>\n",
" <td>4429</td>\n",
" <td>4121</td>\n",
" <td>...</td>\n",
" <td>3960</td>\n",
" <td>4403</td>\n",
" <td>2841</td>\n",
" <td>2746</td>\n",
" <td>3808</td>\n",
" <td>3856</td>\n",
" <td>3211</td>\n",
" <td>227592</td>\n",
" <td>116323</td>\n",
" <td>111269</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>g__Butyricimonas;s__Butyricimonas virosa</td>\n",
" <td>64</td>\n",
" <td>1385</td>\n",
" <td>725</td>\n",
" <td>1553</td>\n",
" <td>40</td>\n",
" <td>53</td>\n",
" <td>33</td>\n",
" <td>175</td>\n",
" <td>58</td>\n",
" <td>...</td>\n",
" <td>55</td>\n",
" <td>35</td>\n",
" <td>8</td>\n",
" <td>884</td>\n",
" <td>13</td>\n",
" <td>3</td>\n",
" <td>218</td>\n",
" <td>27454</td>\n",
" <td>10583</td>\n",
" <td>16871</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>g__Alistipes;s__Alistipes indistinctus</td>\n",
" <td>15</td>\n",
" <td>20</td>\n",
" <td>723</td>\n",
" <td>620</td>\n",
" <td>3261</td>\n",
" <td>43</td>\n",
" <td>83</td>\n",
" <td>37</td>\n",
" <td>43</td>\n",
" <td>...</td>\n",
" <td>1027</td>\n",
" <td>2641</td>\n",
" <td>4</td>\n",
" <td>1587</td>\n",
" <td>2223</td>\n",
" <td>6</td>\n",
" <td>1473</td>\n",
" <td>57406</td>\n",
" <td>30480</td>\n",
" <td>26926</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5614</th>\n",
" <td>g__Unclassified;s__Gordonia phage GTE2</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5615</th>\n",
" <td>g__Alphabaculovirus;s__Hyphantria cunea nucleo...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5616</th>\n",
" <td>g__Potyvirus;s__Bean common mosaic virus</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5617</th>\n",
" <td>g__Potyvirus;s__Telosma mosaic virus</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5618</th>\n",
" <td>g__Unclassified;s__Freshwater phage uvFW-CGR-A...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5619 rows × 64 columns</p>\n",
"</div>\n",
" <div class=\"colab-df-buttons\">\n",
"\n",
" <div class=\"colab-df-container\">\n",
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a1e60ceb-2614-40b1-9a1f-68684ea78c2b')\"\n",
" title=\"Convert this dataframe to an interactive table.\"\n",
" style=\"display:none;\">\n",
"\n",
" <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
" <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
" </svg>\n",
" </button>\n",
"\n",
" <style>\n",
" .colab-df-container {\n",
" display:flex;\n",
" gap: 12px;\n",
" }\n",
"\n",
" .colab-df-convert {\n",
" background-color: #E8F0FE;\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: #1967D2;\n",
" height: 32px;\n",
" padding: 0 0 0 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-convert:hover {\n",
" background-color: #E2EBFA;\n",
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: #174EA6;\n",
" }\n",
"\n",
" .colab-df-buttons div {\n",
" margin-bottom: 4px;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert {\n",
" background-color: #3B4455;\n",
" fill: #D2E3FC;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert:hover {\n",
" background-color: #434B5C;\n",
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
" fill: #FFFFFF;\n",
" }\n",
" </style>\n",
"\n",
" <script>\n",
" const buttonEl =\n",
" document.querySelector('#df-a1e60ceb-2614-40b1-9a1f-68684ea78c2b button.colab-df-convert');\n",
" buttonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"\n",
" async function convertToInteractive(key) {\n",
" const element = document.querySelector('#df-a1e60ceb-2614-40b1-9a1f-68684ea78c2b');\n",
" const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
" if (!dataTable) return;\n",
"\n",
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
" + ' to learn more about interactive tables.';\n",
" element.innerHTML = '';\n",
" dataTable['output_type'] = 'display_data';\n",
" await google.colab.output.renderOutput(dataTable, element);\n",
" const docLink = document.createElement('div');\n",
" docLink.innerHTML = docLinkHtml;\n",
" element.appendChild(docLink);\n",
" }\n",
" </script>\n",
" </div>\n",
"\n",
"\n",
"<div id=\"df-13d71743-cc19-416e-a0b1-71071fd32c28\">\n",
" <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-13d71743-cc19-416e-a0b1-71071fd32c28')\"\n",
" title=\"Suggest charts\"\n",
" style=\"display:none;\">\n",
"\n",
"<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
" width=\"24px\">\n",
" <g>\n",
" <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
" </g>\n",
"</svg>\n",
" </button>\n",
"\n",
"<style>\n",
" .colab-df-quickchart {\n",
" --bg-color: #E8F0FE;\n",
" --fill-color: #1967D2;\n",
" --hover-bg-color: #E2EBFA;\n",
" --hover-fill-color: #174EA6;\n",
" --disabled-fill-color: #AAA;\n",
" --disabled-bg-color: #DDD;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-quickchart {\n",
" --bg-color: #3B4455;\n",
" --fill-color: #D2E3FC;\n",
" --hover-bg-color: #434B5C;\n",
" --hover-fill-color: #FFFFFF;\n",
" --disabled-bg-color: #3B4455;\n",
" --disabled-fill-color: #666;\n",
" }\n",
"\n",
" .colab-df-quickchart {\n",
" background-color: var(--bg-color);\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: var(--fill-color);\n",
" height: 32px;\n",
" padding: 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-quickchart:hover {\n",
" background-color: var(--hover-bg-color);\n",
" box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: var(--button-hover-fill-color);\n",
" }\n",
"\n",
" .colab-df-quickchart-complete:disabled,\n",
" .colab-df-quickchart-complete:disabled:hover {\n",
" background-color: var(--disabled-bg-color);\n",
" fill: var(--disabled-fill-color);\n",
" box-shadow: none;\n",
" }\n",
"\n",
" .colab-df-spinner {\n",
" border: 2px solid var(--fill-color);\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" animation:\n",
" spin 1s steps(1) infinite;\n",
" }\n",
"\n",
" @keyframes spin {\n",
" 0% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" border-left-color: var(--fill-color);\n",
" }\n",
" 20% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 30% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 40% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 60% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 80% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" 90% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" }\n",
"</style>\n",
"\n",
" <script>\n",
" async function quickchart(key) {\n",
" const quickchartButtonEl =\n",
" document.querySelector('#' + key + ' button');\n",
" quickchartButtonEl.disabled = true; // To prevent multiple clicks.\n",
" quickchartButtonEl.classList.add('colab-df-spinner');\n",
" try {\n",
" const charts = await google.colab.kernel.invokeFunction(\n",
" 'suggestCharts', [key], {});\n",
" } catch (error) {\n",
" console.error('Error during call to suggestCharts:', error);\n",
" }\n",
" quickchartButtonEl.classList.remove('colab-df-spinner');\n",
" quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
" }\n",
" (() => {\n",
" let quickchartButtonEl =\n",
" document.querySelector('#df-13d71743-cc19-416e-a0b1-71071fd32c28 button');\n",
" quickchartButtonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
" })();\n",
" </script>\n",
"</div>\n",
" </div>\n",
" </div>\n"
]
},
"metadata": {},
"execution_count": 36
}
],
"source": [
"ASD_meta"
]
},
{
"cell_type": "code",
"source": [
"~taxa= ASD_meta[['Taxonomy']].set_index('Taxonomy')\n"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 256
},
"id": "gDAZ3QcizdNI",
"outputId": "57c2f3e3-4270-43d0-a298-a6886b5ea12a"
},
"execution_count": 39,
"outputs": [
{
"output_type": "error",
"ename": "SyntaxError",
"evalue": "cannot assign to expression here. Maybe you meant '==' instead of '='? (<ipython-input-39-59877af449a1>, line 1)",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mSyntaxError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m/usr/local/lib/python3.10/dist-packages/IPython/core/compilerop.py\u001b[0m in \u001b[0;36mast_parse\u001b[0;34m(self, source, filename, symbol)\u001b[0m\n\u001b[1;32m 99\u001b[0m \u001b[0mArguments\u001b[0m \u001b[0mare\u001b[0m \u001b[0mexactly\u001b[0m \u001b[0mthe\u001b[0m \u001b[0msame\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mast\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mparse\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;32min\u001b[0m \u001b[0mthe\u001b[0m \u001b[0mstandard\u001b[0m \u001b[0mlibrary\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 100\u001b[0m and are passed to the built-in compile function.\"\"\"\n\u001b[0;32m--> 101\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mcompile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msource\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfilename\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msymbol\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mflags\u001b[0m \u001b[0;34m|\u001b[0m \u001b[0mPyCF_ONLY_AST\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 102\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 103\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mreset_compiler_flags\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mSyntaxError\u001b[0m: cannot assign to expression here. Maybe you meant '==' instead of '='? (<ipython-input-39-59877af449a1>, line 1)"
]
}
]
},
{
"cell_type": "code",
"source": [
"taxa2= rRNA_OTU[['OTU', 'taxonomy']].set_index('OTU')\n"
],
"metadata": {
"id": "BAOzVQkJz6fG"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"new_ASD_meta = ASD_meta.set_index(\"Taxonomy\")\n",
"new_ASD_meta"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 455
},
"id": "1fKqmyE9C7_y",
"outputId": "044401d2-f3ff-4f9c-fb70-8d7735694224"
},
"execution_count": 38,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" A3 A5 A6 A9 \\\n",
"Taxonomy \n",
"g__Faecalibacterium;s__Faecalibacterium prausni... 4988 5060 2905 5745 \n",
"g__Hungatella;s__Hungatella hathewayi 5803 5612 4109 1432 \n",
"g__Clostridium;s__uncultured Clostridium sp. 3793 2795 1355 5558 \n",
"g__Butyricimonas;s__Butyricimonas virosa 64 1385 725 1553 \n",
"g__Alistipes;s__Alistipes indistinctus 15 20 723 620 \n",
"... ... ... ... ... \n",
"g__Unclassified;s__Gordonia phage GTE2 0 0 0 0 \n",
"g__Alphabaculovirus;s__Hyphantria cunea nucleop... 0 0 0 0 \n",
"g__Potyvirus;s__Bean common mosaic virus 0 0 0 0 \n",
"g__Potyvirus;s__Telosma mosaic virus 0 0 0 0 \n",
"g__Unclassified;s__Freshwater phage uvFW-CGR-AM... 0 0 0 0 \n",
"\n",
" A31 A51 A52 A53 \\\n",
"Taxonomy \n",
"g__Faecalibacterium;s__Faecalibacterium prausni... 4822 3889 4646 6337 \n",
"g__Hungatella;s__Hungatella hathewayi 2652 4175 3891 894 \n",
"g__Clostridium;s__uncultured Clostridium sp. 5383 3505 5541 4429 \n",
"g__Butyricimonas;s__Butyricimonas virosa 40 53 33 175 \n",
"g__Alistipes;s__Alistipes indistinctus 3261 43 83 37 \n",
"... ... ... ... ... \n",
"g__Unclassified;s__Gordonia phage GTE2 0 0 0 0 \n",
"g__Alphabaculovirus;s__Hyphantria cunea nucleop... 0 0 0 0 \n",
"g__Potyvirus;s__Bean common mosaic virus 0 0 0 0 \n",
"g__Potyvirus;s__Telosma mosaic virus 0 0 0 0 \n",
"g__Unclassified;s__Freshwater phage uvFW-CGR-AM... 0 0 0 0 \n",
"\n",
" A54 A59 ... B141 \\\n",
"Taxonomy ... \n",
"g__Faecalibacterium;s__Faecalibacterium prausni... 5064 6359 ... 4910 \n",
"g__Hungatella;s__Hungatella hathewayi 4903 2970 ... 4222 \n",
"g__Clostridium;s__uncultured Clostridium sp. 4121 3258 ... 3960 \n",
"g__Butyricimonas;s__Butyricimonas virosa 58 1636 ... 55 \n",
"g__Alistipes;s__Alistipes indistinctus 43 1114 ... 1027 \n",
"... ... ... ... ... \n",
"g__Unclassified;s__Gordonia phage GTE2 0 0 ... 0 \n",
"g__Alphabaculovirus;s__Hyphantria cunea nucleop... 0 0 ... 0 \n",
"g__Potyvirus;s__Bean common mosaic virus 0 0 ... 0 \n",
"g__Potyvirus;s__Telosma mosaic virus 0 0 ... 0 \n",
"g__Unclassified;s__Freshwater phage uvFW-CGR-AM... 0 0 ... 0 \n",
"\n",
" B142 B143 B152 B156 \\\n",
"Taxonomy \n",
"g__Faecalibacterium;s__Faecalibacterium prausni... 4492 2812 5303 4205 \n",
"g__Hungatella;s__Hungatella hathewayi 4925 5753 1261 1822 \n",
"g__Clostridium;s__uncultured Clostridium sp. 4403 2841 2746 3808 \n",
"g__Butyricimonas;s__Butyricimonas virosa 35 8 884 13 \n",
"g__Alistipes;s__Alistipes indistinctus 2641 4 1587 2223 \n",
"... ... ... ... ... \n",
"g__Unclassified;s__Gordonia phage GTE2 0 0 0 0 \n",
"g__Alphabaculovirus;s__Hyphantria cunea nucleop... 0 0 0 0 \n",
"g__Potyvirus;s__Bean common mosaic virus 0 0 0 0 \n",
"g__Potyvirus;s__Telosma mosaic virus 0 0 0 0 \n",
"g__Unclassified;s__Freshwater phage uvFW-CGR-AM... 0 0 0 0 \n",
"\n",
" B158 B164 \\\n",
"Taxonomy \n",
"g__Faecalibacterium;s__Faecalibacterium prausni... 3430 4563 \n",
"g__Hungatella;s__Hungatella hathewayi 2478 4868 \n",
"g__Clostridium;s__uncultured Clostridium sp. 3856 3211 \n",
"g__Butyricimonas;s__Butyricimonas virosa 3 218 \n",
"g__Alistipes;s__Alistipes indistinctus 6 1473 \n",
"... ... ... \n",
"g__Unclassified;s__Gordonia phage GTE2 0 0 \n",
"g__Alphabaculovirus;s__Hyphantria cunea nucleop... 0 0 \n",
"g__Potyvirus;s__Bean common mosaic virus 0 0 \n",
"g__Potyvirus;s__Telosma mosaic virus 0 0 \n",
"g__Unclassified;s__Freshwater phage uvFW-CGR-AM... 0 0 \n",
"\n",
" TotalAbundance \\\n",
"Taxonomy \n",
"g__Faecalibacterium;s__Faecalibacterium prausni... 287814 \n",
"g__Hungatella;s__Hungatella hathewayi 214518 \n",
"g__Clostridium;s__uncultured Clostridium sp. 227592 \n",
"g__Butyricimonas;s__Butyricimonas virosa 27454 \n",
"g__Alistipes;s__Alistipes indistinctus 57406 \n",
"... ... \n",
"g__Unclassified;s__Gordonia phage GTE2 0 \n",
"g__Alphabaculovirus;s__Hyphantria cunea nucleop... 0 \n",
"g__Potyvirus;s__Bean common mosaic virus 0 \n",
"g__Potyvirus;s__Telosma mosaic virus 0 \n",
"g__Unclassified;s__Freshwater phage uvFW-CGR-AM... 0 \n",
"\n",
" TotalAbundance1 \\\n",
"Taxonomy \n",
"g__Faecalibacterium;s__Faecalibacterium prausni... 139530 \n",
"g__Hungatella;s__Hungatella hathewayi 112922 \n",
"g__Clostridium;s__uncultured Clostridium sp. 116323 \n",
"g__Butyricimonas;s__Butyricimonas virosa 10583 \n",
"g__Alistipes;s__Alistipes indistinctus 30480 \n",
"... ... \n",
"g__Unclassified;s__Gordonia phage GTE2 0 \n",
"g__Alphabaculovirus;s__Hyphantria cunea nucleop... 0 \n",
"g__Potyvirus;s__Bean common mosaic virus 0 \n",
"g__Potyvirus;s__Telosma mosaic virus 0 \n",
"g__Unclassified;s__Freshwater phage uvFW-CGR-AM... 0 \n",
"\n",
" TotalAbundance2 \n",
"Taxonomy \n",
"g__Faecalibacterium;s__Faecalibacterium prausni... 148284 \n",
"g__Hungatella;s__Hungatella hathewayi 101596 \n",
"g__Clostridium;s__uncultured Clostridium sp. 111269 \n",
"g__Butyricimonas;s__Butyricimonas virosa 16871 \n",
"g__Alistipes;s__Alistipes indistinctus 26926 \n",
"... ... \n",
"g__Unclassified;s__Gordonia phage GTE2 0 \n",
"g__Alphabaculovirus;s__Hyphantria cunea nucleop... 0 \n",
"g__Potyvirus;s__Bean common mosaic virus 0 \n",
"g__Potyvirus;s__Telosma mosaic virus 0 \n",
"g__Unclassified;s__Freshwater phage uvFW-CGR-AM... 0 \n",
"\n",
"[5619 rows x 63 columns]"
],
"text/html": [
"\n",
" <div id=\"df-19f8ceae-3dda-4a90-afae-de9355afd097\" class=\"colab-df-container\">\n",
" <div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>A3</th>\n",
" <th>A5</th>\n",
" <th>A6</th>\n",
" <th>A9</th>\n",
" <th>A31</th>\n",
" <th>A51</th>\n",
" <th>A52</th>\n",
" <th>A53</th>\n",
" <th>A54</th>\n",
" <th>A59</th>\n",
" <th>...</th>\n",
" <th>B141</th>\n",
" <th>B142</th>\n",
" <th>B143</th>\n",
" <th>B152</th>\n",
" <th>B156</th>\n",
" <th>B158</th>\n",
" <th>B164</th>\n",
" <th>TotalAbundance</th>\n",
" <th>TotalAbundance1</th>\n",
" <th>TotalAbundance2</th>\n",
" </tr>\n",
" <tr>\n",
" <th>Taxonomy</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>g__Faecalibacterium;s__Faecalibacterium prausnitzii</th>\n",
" <td>4988</td>\n",
" <td>5060</td>\n",
" <td>2905</td>\n",
" <td>5745</td>\n",
" <td>4822</td>\n",
" <td>3889</td>\n",
" <td>4646</td>\n",
" <td>6337</td>\n",
" <td>5064</td>\n",
" <td>6359</td>\n",
" <td>...</td>\n",
" <td>4910</td>\n",
" <td>4492</td>\n",
" <td>2812</td>\n",
" <td>5303</td>\n",
" <td>4205</td>\n",
" <td>3430</td>\n",
" <td>4563</td>\n",
" <td>287814</td>\n",
" <td>139530</td>\n",
" <td>148284</td>\n",
" </tr>\n",
" <tr>\n",
" <th>g__Hungatella;s__Hungatella hathewayi</th>\n",
" <td>5803</td>\n",
" <td>5612</td>\n",
" <td>4109</td>\n",
" <td>1432</td>\n",
" <td>2652</td>\n",
" <td>4175</td>\n",
" <td>3891</td>\n",
" <td>894</td>\n",
" <td>4903</td>\n",
" <td>2970</td>\n",
" <td>...</td>\n",
" <td>4222</td>\n",
" <td>4925</td>\n",
" <td>5753</td>\n",
" <td>1261</td>\n",
" <td>1822</td>\n",
" <td>2478</td>\n",
" <td>4868</td>\n",
" <td>214518</td>\n",
" <td>112922</td>\n",
" <td>101596</td>\n",
" </tr>\n",
" <tr>\n",
" <th>g__Clostridium;s__uncultured Clostridium sp.</th>\n",
" <td>3793</td>\n",
" <td>2795</td>\n",
" <td>1355</td>\n",
" <td>5558</td>\n",
" <td>5383</td>\n",
" <td>3505</td>\n",
" <td>5541</td>\n",
" <td>4429</td>\n",
" <td>4121</td>\n",
" <td>3258</td>\n",
" <td>...</td>\n",
" <td>3960</td>\n",
" <td>4403</td>\n",
" <td>2841</td>\n",
" <td>2746</td>\n",
" <td>3808</td>\n",
" <td>3856</td>\n",
" <td>3211</td>\n",
" <td>227592</td>\n",
" <td>116323</td>\n",
" <td>111269</td>\n",
" </tr>\n",
" <tr>\n",
" <th>g__Butyricimonas;s__Butyricimonas virosa</th>\n",
" <td>64</td>\n",
" <td>1385</td>\n",
" <td>725</td>\n",
" <td>1553</td>\n",
" <td>40</td>\n",
" <td>53</td>\n",
" <td>33</td>\n",
" <td>175</td>\n",
" <td>58</td>\n",
" <td>1636</td>\n",
" <td>...</td>\n",
" <td>55</td>\n",
" <td>35</td>\n",
" <td>8</td>\n",
" <td>884</td>\n",
" <td>13</td>\n",
" <td>3</td>\n",
" <td>218</td>\n",
" <td>27454</td>\n",
" <td>10583</td>\n",
" <td>16871</td>\n",
" </tr>\n",
" <tr>\n",
" <th>g__Alistipes;s__Alistipes indistinctus</th>\n",
" <td>15</td>\n",
" <td>20</td>\n",
" <td>723</td>\n",
" <td>620</td>\n",
" <td>3261</td>\n",
" <td>43</td>\n",
" <td>83</td>\n",
" <td>37</td>\n",
" <td>43</td>\n",
" <td>1114</td>\n",
" <td>...</td>\n",
" <td>1027</td>\n",
" <td>2641</td>\n",
" <td>4</td>\n",
" <td>1587</td>\n",
" <td>2223</td>\n",
" <td>6</td>\n",
" <td>1473</td>\n",
" <td>57406</td>\n",
" <td>30480</td>\n",
" <td>26926</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>g__Unclassified;s__Gordonia phage GTE2</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>g__Alphabaculovirus;s__Hyphantria cunea nucleopolyhedrovirus</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>g__Potyvirus;s__Bean common mosaic virus</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>g__Potyvirus;s__Telosma mosaic virus</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>g__Unclassified;s__Freshwater phage uvFW-CGR-AMD-COM-C203</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5619 rows × 63 columns</p>\n",
"</div>\n",
" <div class=\"colab-df-buttons\">\n",
"\n",
" <div class=\"colab-df-container\">\n",
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-19f8ceae-3dda-4a90-afae-de9355afd097')\"\n",
" title=\"Convert this dataframe to an interactive table.\"\n",
" style=\"display:none;\">\n",
"\n",
" <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
" <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
" </svg>\n",
" </button>\n",
"\n",
" <style>\n",
" .colab-df-container {\n",
" display:flex;\n",
" gap: 12px;\n",
" }\n",
"\n",
" .colab-df-convert {\n",
" background-color: #E8F0FE;\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: #1967D2;\n",
" height: 32px;\n",
" padding: 0 0 0 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-convert:hover {\n",
" background-color: #E2EBFA;\n",
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: #174EA6;\n",
" }\n",
"\n",
" .colab-df-buttons div {\n",
" margin-bottom: 4px;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert {\n",
" background-color: #3B4455;\n",
" fill: #D2E3FC;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert:hover {\n",
" background-color: #434B5C;\n",
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
" fill: #FFFFFF;\n",
" }\n",
" </style>\n",
"\n",
" <script>\n",
" const buttonEl =\n",
" document.querySelector('#df-19f8ceae-3dda-4a90-afae-de9355afd097 button.colab-df-convert');\n",
" buttonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"\n",
" async function convertToInteractive(key) {\n",
" const element = document.querySelector('#df-19f8ceae-3dda-4a90-afae-de9355afd097');\n",
" const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
" if (!dataTable) return;\n",
"\n",
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
" + ' to learn more about interactive tables.';\n",
" element.innerHTML = '';\n",
" dataTable['output_type'] = 'display_data';\n",
" await google.colab.output.renderOutput(dataTable, element);\n",
" const docLink = document.createElement('div');\n",
" docLink.innerHTML = docLinkHtml;\n",
" element.appendChild(docLink);\n",
" }\n",
" </script>\n",
" </div>\n",
"\n",
"\n",
"<div id=\"df-93898235-1dab-4531-90fe-ee3cb108f919\">\n",
" <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-93898235-1dab-4531-90fe-ee3cb108f919')\"\n",
" title=\"Suggest charts\"\n",
" style=\"display:none;\">\n",
"\n",
"<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
" width=\"24px\">\n",
" <g>\n",
" <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
" </g>\n",
"</svg>\n",
" </button>\n",
"\n",
"<style>\n",
" .colab-df-quickchart {\n",
" --bg-color: #E8F0FE;\n",
" --fill-color: #1967D2;\n",
" --hover-bg-color: #E2EBFA;\n",
" --hover-fill-color: #174EA6;\n",
" --disabled-fill-color: #AAA;\n",
" --disabled-bg-color: #DDD;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-quickchart {\n",
" --bg-color: #3B4455;\n",
" --fill-color: #D2E3FC;\n",
" --hover-bg-color: #434B5C;\n",
" --hover-fill-color: #FFFFFF;\n",
" --disabled-bg-color: #3B4455;\n",
" --disabled-fill-color: #666;\n",
" }\n",
"\n",
" .colab-df-quickchart {\n",
" background-color: var(--bg-color);\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: var(--fill-color);\n",
" height: 32px;\n",
" padding: 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-quickchart:hover {\n",
" background-color: var(--hover-bg-color);\n",
" box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: var(--button-hover-fill-color);\n",
" }\n",
"\n",
" .colab-df-quickchart-complete:disabled,\n",
" .colab-df-quickchart-complete:disabled:hover {\n",
" background-color: var(--disabled-bg-color);\n",
" fill: var(--disabled-fill-color);\n",
" box-shadow: none;\n",
" }\n",
"\n",
" .colab-df-spinner {\n",
" border: 2px solid var(--fill-color);\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" animation:\n",
" spin 1s steps(1) infinite;\n",
" }\n",
"\n",
" @keyframes spin {\n",
" 0% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" border-left-color: var(--fill-color);\n",
" }\n",
" 20% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 30% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 40% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 60% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 80% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" 90% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" }\n",
"</style>\n",
"\n",
" <script>\n",
" async function quickchart(key) {\n",
" const quickchartButtonEl =\n",
" document.querySelector('#' + key + ' button');\n",
" quickchartButtonEl.disabled = true; // To prevent multiple clicks.\n",
" quickchartButtonEl.classList.add('colab-df-spinner');\n",
" try {\n",
" const charts = await google.colab.kernel.invokeFunction(\n",
" 'suggestCharts', [key], {});\n",
" } catch (error) {\n",
" console.error('Error during call to suggestCharts:', error);\n",
" }\n",
" quickchartButtonEl.classList.remove('colab-df-spinner');\n",
" quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
" }\n",
" (() => {\n",
" let quickchartButtonEl =\n",
" document.querySelector('#df-93898235-1dab-4531-90fe-ee3cb108f919 button');\n",
" quickchartButtonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
" })();\n",
" </script>\n",
"</div>\n",
" </div>\n",
" </div>\n"
]
},
"metadata": {},
"execution_count": 38
}
]
},
{
"cell_type": "code",
"source": [
"ASD_flip= new_ASD_meta.transpose()\n",
"ASD_flip\n"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 461
},
"id": "38yVlMkF0NKc",
"outputId": "b0ac0873-5bf6-4246-8014-3f55c1c50936"
},
"execution_count": 40,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"Taxonomy g__Faecalibacterium;s__Faecalibacterium prausnitzii \\\n",
"A3 4988 \n",
"A5 5060 \n",
"A6 2905 \n",
"A9 5745 \n",
"A31 4822 \n",
"... ... \n",
"B158 3430 \n",
"B164 4563 \n",
"TotalAbundance 287814 \n",
"TotalAbundance1 139530 \n",
"TotalAbundance2 148284 \n",
"\n",
"Taxonomy g__Hungatella;s__Hungatella hathewayi \\\n",
"A3 5803 \n",
"A5 5612 \n",
"A6 4109 \n",
"A9 1432 \n",
"A31 2652 \n",
"... ... \n",
"B158 2478 \n",
"B164 4868 \n",
"TotalAbundance 214518 \n",
"TotalAbundance1 112922 \n",
"TotalAbundance2 101596 \n",
"\n",
"Taxonomy g__Clostridium;s__uncultured Clostridium sp. \\\n",
"A3 3793 \n",
"A5 2795 \n",
"A6 1355 \n",
"A9 5558 \n",
"A31 5383 \n",
"... ... \n",
"B158 3856 \n",
"B164 3211 \n",
"TotalAbundance 227592 \n",
"TotalAbundance1 116323 \n",
"TotalAbundance2 111269 \n",
"\n",
"Taxonomy g__Butyricimonas;s__Butyricimonas virosa \\\n",
"A3 64 \n",
"A5 1385 \n",
"A6 725 \n",
"A9 1553 \n",
"A31 40 \n",
"... ... \n",
"B158 3 \n",
"B164 218 \n",
"TotalAbundance 27454 \n",
"TotalAbundance1 10583 \n",
"TotalAbundance2 16871 \n",
"\n",
"Taxonomy g__Alistipes;s__Alistipes indistinctus \\\n",
"A3 15 \n",
"A5 20 \n",
"A6 723 \n",
"A9 620 \n",
"A31 3261 \n",
"... ... \n",
"B158 6 \n",
"B164 1473 \n",
"TotalAbundance 57406 \n",
"TotalAbundance1 30480 \n",
"TotalAbundance2 26926 \n",
"\n",
"Taxonomy g__Unclassified;s__Firmicutes bacterium CAG:176 \\\n",
"A3 100 \n",
"A5 29 \n",
"A6 11 \n",
"A9 1320 \n",
"A31 51 \n",
"... ... \n",
"B158 15 \n",
"B164 64 \n",
"TotalAbundance 18578 \n",
"TotalAbundance1 6625 \n",
"TotalAbundance2 11953 \n",
"\n",
"Taxonomy g__Clostridium;s__Clostridium sp. CAG:7 \\\n",
"A3 2119 \n",
"A5 1230 \n",
"A6 1322 \n",
"A9 2675 \n",
"A31 1470 \n",
"... ... \n",
"B158 1487 \n",
"B164 1797 \n",
"TotalAbundance 97486 \n",
"TotalAbundance1 49148 \n",
"TotalAbundance2 48338 \n",
"\n",
"Taxonomy g__Unclassified;s__Firmicutes bacterium CAG:882 \\\n",
"A3 12 \n",
"A5 24 \n",
"A6 1 \n",
"A9 44 \n",
"A31 26 \n",
"... ... \n",
"B158 47 \n",
"B164 8 \n",
"TotalAbundance 13498 \n",
"TotalAbundance1 9767 \n",
"TotalAbundance2 3731 \n",
"\n",
"Taxonomy g__Lachnoclostridium;s__[Clostridium] asparagiforme \\\n",
"A3 453 \n",
"A5 691 \n",
"A6 2278 \n",
"A9 107 \n",
"A31 342 \n",
"... ... \n",
"B158 2169 \n",
"B164 159 \n",
"TotalAbundance 63866 \n",
"TotalAbundance1 33654 \n",
"TotalAbundance2 30212 \n",
"\n",
"Taxonomy g__Butyricicoccus;s__uncultured Butyricicoccus sp. ... \\\n",
"A3 1266 ... \n",
"A5 1682 ... \n",
"A6 43 ... \n",
"A9 1726 ... \n",
"A31 1804 ... \n",
"... ... ... \n",
"B158 839 ... \n",
"B164 1278 ... \n",
"TotalAbundance 87012 ... \n",
"TotalAbundance1 46417 ... \n",
"TotalAbundance2 40595 ... \n",
"\n",
"Taxonomy g__Unclassified;s__Clostridium phage c-st \\\n",
"A3 0 \n",
"A5 0 \n",
"A6 0 \n",
"A9 0 \n",
"A31 0 \n",
"... ... \n",
"B158 0 \n",
"B164 0 \n",
"TotalAbundance 0 \n",
"TotalAbundance1 0 \n",
"TotalAbundance2 0 \n",
"\n",
"Taxonomy g__Unclassified;s__Enterococcus phage EFDG1 \\\n",
"A3 0 \n",
"A5 0 \n",
"A6 0 \n",
"A9 0 \n",
"A31 0 \n",
"... ... \n",
"B158 0 \n",
"B164 0 \n",
"TotalAbundance 0 \n",
"TotalAbundance1 0 \n",
"TotalAbundance2 0 \n",
"\n",
"Taxonomy g__Unclassified;s__Podovirus Lau218 \\\n",
"A3 0 \n",
"A5 0 \n",
"A6 0 \n",
"A9 0 \n",
"A31 0 \n",
"... ... \n",
"B158 0 \n",
"B164 0 \n",
"TotalAbundance 0 \n",
"TotalAbundance1 0 \n",
"TotalAbundance2 0 \n",
"\n",
"Taxonomy g__Sap6virus;s__Enterococcus phage VD13 \\\n",
"A3 0 \n",
"A5 0 \n",
"A6 0 \n",
"A9 0 \n",
"A31 0 \n",
"... ... \n",
"B158 0 \n",
"B164 0 \n",
"TotalAbundance 0 \n",
"TotalAbundance1 0 \n",
"TotalAbundance2 0 \n",
"\n",
"Taxonomy g__Unclassified;s__Bacillus phage vB_BanS-Tsamsa \\\n",
"A3 0 \n",
"A5 0 \n",
"A6 0 \n",
"A9 0 \n",
"A31 0 \n",
"... ... \n",
"B158 0 \n",
"B164 0 \n",
"TotalAbundance 0 \n",
"TotalAbundance1 0 \n",
"TotalAbundance2 0 \n",
"\n",
"Taxonomy g__Unclassified;s__Gordonia phage GTE2 \\\n",
"A3 0 \n",
"A5 0 \n",
"A6 0 \n",
"A9 0 \n",
"A31 0 \n",
"... ... \n",
"B158 0 \n",
"B164 0 \n",
"TotalAbundance 0 \n",
"TotalAbundance1 0 \n",
"TotalAbundance2 0 \n",
"\n",
"Taxonomy g__Alphabaculovirus;s__Hyphantria cunea nucleopolyhedrovirus \\\n",
"A3 0 \n",
"A5 0 \n",
"A6 0 \n",
"A9 0 \n",
"A31 0 \n",
"... ... \n",
"B158 0 \n",
"B164 0 \n",
"TotalAbundance 0 \n",
"TotalAbundance1 0 \n",
"TotalAbundance2 0 \n",
"\n",
"Taxonomy g__Potyvirus;s__Bean common mosaic virus \\\n",
"A3 0 \n",
"A5 0 \n",
"A6 0 \n",
"A9 0 \n",
"A31 0 \n",
"... ... \n",
"B158 0 \n",
"B164 0 \n",
"TotalAbundance 0 \n",
"TotalAbundance1 0 \n",
"TotalAbundance2 0 \n",
"\n",
"Taxonomy g__Potyvirus;s__Telosma mosaic virus \\\n",
"A3 0 \n",
"A5 0 \n",
"A6 0 \n",
"A9 0 \n",
"A31 0 \n",
"... ... \n",
"B158 0 \n",
"B164 0 \n",
"TotalAbundance 0 \n",
"TotalAbundance1 0 \n",
"TotalAbundance2 0 \n",
"\n",
"Taxonomy g__Unclassified;s__Freshwater phage uvFW-CGR-AMD-COM-C203 \n",
"A3 0 \n",
"A5 0 \n",
"A6 0 \n",
"A9 0 \n",
"A31 0 \n",
"... ... \n",
"B158 0 \n",
"B164 0 \n",
"TotalAbundance 0 \n",
"TotalAbundance1 0 \n",
"TotalAbundance2 0 \n",
"\n",
"[63 rows x 5619 columns]"
],
"text/html": [
"\n",
" <div id=\"df-1f3b02e4-42ea-43af-ba7a-6ea63d61cd5a\" class=\"colab-df-container\">\n",
" <div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th>Taxonomy</th>\n",
" <th>g__Faecalibacterium;s__Faecalibacterium prausnitzii</th>\n",
" <th>g__Hungatella;s__Hungatella hathewayi</th>\n",
" <th>g__Clostridium;s__uncultured Clostridium sp.</th>\n",
" <th>g__Butyricimonas;s__Butyricimonas virosa</th>\n",
" <th>g__Alistipes;s__Alistipes indistinctus</th>\n",
" <th>g__Unclassified;s__Firmicutes bacterium CAG:176</th>\n",
" <th>g__Clostridium;s__Clostridium sp. CAG:7</th>\n",
" <th>g__Unclassified;s__Firmicutes bacterium CAG:882</th>\n",
" <th>g__Lachnoclostridium;s__[Clostridium] asparagiforme</th>\n",
" <th>g__Butyricicoccus;s__uncultured Butyricicoccus sp.</th>\n",
" <th>...</th>\n",
" <th>g__Unclassified;s__Clostridium phage c-st</th>\n",
" <th>g__Unclassified;s__Enterococcus phage EFDG1</th>\n",
" <th>g__Unclassified;s__Podovirus Lau218</th>\n",
" <th>g__Sap6virus;s__Enterococcus phage VD13</th>\n",
" <th>g__Unclassified;s__Bacillus phage vB_BanS-Tsamsa</th>\n",
" <th>g__Unclassified;s__Gordonia phage GTE2</th>\n",
" <th>g__Alphabaculovirus;s__Hyphantria cunea nucleopolyhedrovirus</th>\n",
" <th>g__Potyvirus;s__Bean common mosaic virus</th>\n",
" <th>g__Potyvirus;s__Telosma mosaic virus</th>\n",
" <th>g__Unclassified;s__Freshwater phage uvFW-CGR-AMD-COM-C203</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>A3</th>\n",
" <td>4988</td>\n",
" <td>5803</td>\n",
" <td>3793</td>\n",
" <td>64</td>\n",
" <td>15</td>\n",
" <td>100</td>\n",
" <td>2119</td>\n",
" <td>12</td>\n",
" <td>453</td>\n",
" <td>1266</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A5</th>\n",
" <td>5060</td>\n",
" <td>5612</td>\n",
" <td>2795</td>\n",
" <td>1385</td>\n",
" <td>20</td>\n",
" <td>29</td>\n",
" <td>1230</td>\n",
" <td>24</td>\n",
" <td>691</td>\n",
" <td>1682</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A6</th>\n",
" <td>2905</td>\n",
" <td>4109</td>\n",
" <td>1355</td>\n",
" <td>725</td>\n",
" <td>723</td>\n",
" <td>11</td>\n",
" <td>1322</td>\n",
" <td>1</td>\n",
" <td>2278</td>\n",
" <td>43</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A9</th>\n",
" <td>5745</td>\n",
" <td>1432</td>\n",
" <td>5558</td>\n",
" <td>1553</td>\n",
" <td>620</td>\n",
" <td>1320</td>\n",
" <td>2675</td>\n",
" <td>44</td>\n",
" <td>107</td>\n",
" <td>1726</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A31</th>\n",
" <td>4822</td>\n",
" <td>2652</td>\n",
" <td>5383</td>\n",
" <td>40</td>\n",
" <td>3261</td>\n",
" <td>51</td>\n",
" <td>1470</td>\n",
" <td>26</td>\n",
" <td>342</td>\n",
" <td>1804</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B158</th>\n",
" <td>3430</td>\n",
" <td>2478</td>\n",
" <td>3856</td>\n",
" <td>3</td>\n",
" <td>6</td>\n",
" <td>15</td>\n",
" <td>1487</td>\n",
" <td>47</td>\n",
" <td>2169</td>\n",
" <td>839</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B164</th>\n",
" <td>4563</td>\n",
" <td>4868</td>\n",
" <td>3211</td>\n",
" <td>218</td>\n",
" <td>1473</td>\n",
" <td>64</td>\n",
" <td>1797</td>\n",
" <td>8</td>\n",
" <td>159</td>\n",
" <td>1278</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>TotalAbundance</th>\n",
" <td>287814</td>\n",
" <td>214518</td>\n",
" <td>227592</td>\n",
" <td>27454</td>\n",
" <td>57406</td>\n",
" <td>18578</td>\n",
" <td>97486</td>\n",
" <td>13498</td>\n",
" <td>63866</td>\n",
" <td>87012</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>TotalAbundance1</th>\n",
" <td>139530</td>\n",
" <td>112922</td>\n",
" <td>116323</td>\n",
" <td>10583</td>\n",
" <td>30480</td>\n",
" <td>6625</td>\n",
" <td>49148</td>\n",
" <td>9767</td>\n",
" <td>33654</td>\n",
" <td>46417</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>TotalAbundance2</th>\n",
" <td>148284</td>\n",
" <td>101596</td>\n",
" <td>111269</td>\n",
" <td>16871</td>\n",
" <td>26926</td>\n",
" <td>11953</td>\n",
" <td>48338</td>\n",
" <td>3731</td>\n",
" <td>30212</td>\n",
" <td>40595</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>63 rows × 5619 columns</p>\n",
"</div>\n",
" <div class=\"colab-df-buttons\">\n",
"\n",
" <div class=\"colab-df-container\">\n",
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-1f3b02e4-42ea-43af-ba7a-6ea63d61cd5a')\"\n",
" title=\"Convert this dataframe to an interactive table.\"\n",
" style=\"display:none;\">\n",
"\n",
" <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
" <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
" </svg>\n",
" </button>\n",
"\n",
" <style>\n",
" .colab-df-container {\n",
" display:flex;\n",
" gap: 12px;\n",
" }\n",
"\n",
" .colab-df-convert {\n",
" background-color: #E8F0FE;\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: #1967D2;\n",
" height: 32px;\n",
" padding: 0 0 0 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-convert:hover {\n",
" background-color: #E2EBFA;\n",
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: #174EA6;\n",
" }\n",
"\n",
" .colab-df-buttons div {\n",
" margin-bottom: 4px;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert {\n",
" background-color: #3B4455;\n",
" fill: #D2E3FC;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert:hover {\n",
" background-color: #434B5C;\n",
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
" fill: #FFFFFF;\n",
" }\n",
" </style>\n",
"\n",
" <script>\n",
" const buttonEl =\n",
" document.querySelector('#df-1f3b02e4-42ea-43af-ba7a-6ea63d61cd5a button.colab-df-convert');\n",
" buttonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"\n",
" async function convertToInteractive(key) {\n",
" const element = document.querySelector('#df-1f3b02e4-42ea-43af-ba7a-6ea63d61cd5a');\n",
" const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
" if (!dataTable) return;\n",
"\n",
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
" + ' to learn more about interactive tables.';\n",
" element.innerHTML = '';\n",
" dataTable['output_type'] = 'display_data';\n",
" await google.colab.output.renderOutput(dataTable, element);\n",
" const docLink = document.createElement('div');\n",
" docLink.innerHTML = docLinkHtml;\n",
" element.appendChild(docLink);\n",
" }\n",
" </script>\n",
" </div>\n",
"\n",
"\n",
"<div id=\"df-da8b9e1b-cedd-4f7a-878d-ac0af00a7cb1\">\n",
" <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-da8b9e1b-cedd-4f7a-878d-ac0af00a7cb1')\"\n",
" title=\"Suggest charts\"\n",
" style=\"display:none;\">\n",
"\n",
"<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
" width=\"24px\">\n",
" <g>\n",
" <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
" </g>\n",
"</svg>\n",
" </button>\n",
"\n",
"<style>\n",
" .colab-df-quickchart {\n",
" --bg-color: #E8F0FE;\n",
" --fill-color: #1967D2;\n",
" --hover-bg-color: #E2EBFA;\n",
" --hover-fill-color: #174EA6;\n",
" --disabled-fill-color: #AAA;\n",
" --disabled-bg-color: #DDD;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-quickchart {\n",
" --bg-color: #3B4455;\n",
" --fill-color: #D2E3FC;\n",
" --hover-bg-color: #434B5C;\n",
" --hover-fill-color: #FFFFFF;\n",
" --disabled-bg-color: #3B4455;\n",
" --disabled-fill-color: #666;\n",
" }\n",
"\n",
" .colab-df-quickchart {\n",
" background-color: var(--bg-color);\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: var(--fill-color);\n",
" height: 32px;\n",
" padding: 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-quickchart:hover {\n",
" background-color: var(--hover-bg-color);\n",
" box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: var(--button-hover-fill-color);\n",
" }\n",
"\n",
" .colab-df-quickchart-complete:disabled,\n",
" .colab-df-quickchart-complete:disabled:hover {\n",
" background-color: var(--disabled-bg-color);\n",
" fill: var(--disabled-fill-color);\n",
" box-shadow: none;\n",
" }\n",
"\n",
" .colab-df-spinner {\n",
" border: 2px solid var(--fill-color);\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" animation:\n",
" spin 1s steps(1) infinite;\n",
" }\n",
"\n",
" @keyframes spin {\n",
" 0% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" border-left-color: var(--fill-color);\n",
" }\n",
" 20% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 30% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 40% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 60% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 80% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" 90% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" }\n",
"</style>\n",
"\n",
" <script>\n",
" async function quickchart(key) {\n",
" const quickchartButtonEl =\n",
" document.querySelector('#' + key + ' button');\n",
" quickchartButtonEl.disabled = true; // To prevent multiple clicks.\n",
" quickchartButtonEl.classList.add('colab-df-spinner');\n",
" try {\n",
" const charts = await google.colab.kernel.invokeFunction(\n",
" 'suggestCharts', [key], {});\n",
" } catch (error) {\n",
" console.error('Error during call to suggestCharts:', error);\n",
" }\n",
" quickchartButtonEl.classList.remove('colab-df-spinner');\n",
" quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
" }\n",
" (() => {\n",
" let quickchartButtonEl =\n",
" document.querySelector('#df-da8b9e1b-cedd-4f7a-878d-ac0af00a7cb1 button');\n",
" quickchartButtonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
" })();\n",
" </script>\n",
"</div>\n",
" </div>\n",
" </div>\n"
]
},
"metadata": {},
"execution_count": 40
}
]
},
{
"cell_type": "code",
"source": [
"ASD_flip_Clean = ASD_flip.drop(['TotalAbundance', 'TotalAbundance1', 'TotalAbundance2'], axis=0)\n",
"\n",
"ASD_flip_Clean"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"id": "VDUbDZxG3R0y",
"outputId": "2d672338-ec39-46e2-f0c1-79617e44f752"
},
"execution_count": 41,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"Taxonomy g__Faecalibacterium;s__Faecalibacterium prausnitzii \\\n",
"A3 4988 \n",
"A5 5060 \n",
"A6 2905 \n",
"A9 5745 \n",
"A31 4822 \n",
"A51 3889 \n",
"A52 4646 \n",
"A53 6337 \n",
"A54 5064 \n",
"A59 6359 \n",
"A67 3194 \n",
"A68 4486 \n",
"A69 3807 \n",
"A71 6208 \n",
"A73 3008 \n",
"A76 5628 \n",
"A78 5732 \n",
"A87 5240 \n",
"A89 3616 \n",
"A93 3355 \n",
"A101 3833 \n",
"A109 3771 \n",
"A113 5489 \n",
"A114 6762 \n",
"A115 3045 \n",
"A142 6205 \n",
"A144 6048 \n",
"A149 5418 \n",
"A164 5120 \n",
"A165 8504 \n",
"B1 4269 \n",
"B2 4397 \n",
"B3 4499 \n",
"B5 6126 \n",
"B6 7020 \n",
"B7 5404 \n",
"B8 4404 \n",
"B13 5811 \n",
"B14 3360 \n",
"B28 4141 \n",
"B29 2880 \n",
"B36 3805 \n",
"B37 4168 \n",
"B94 4543 \n",
"B99 2804 \n",
"B103 5728 \n",
"B106 3827 \n",
"B111 6030 \n",
"B114 4950 \n",
"B115 4749 \n",
"B120 4471 \n",
"B127 5868 \n",
"B132 6561 \n",
"B141 4910 \n",
"B142 4492 \n",
"B143 2812 \n",
"B152 5303 \n",
"B156 4205 \n",
"B158 3430 \n",
"B164 4563 \n",
"\n",
"Taxonomy g__Hungatella;s__Hungatella hathewayi \\\n",
"A3 5803 \n",
"A5 5612 \n",
"A6 4109 \n",
"A9 1432 \n",
"A31 2652 \n",
"A51 4175 \n",
"A52 3891 \n",
"A53 894 \n",
"A54 4903 \n",
"A59 2970 \n",
"A67 4029 \n",
"A68 1266 \n",
"A69 4822 \n",
"A71 1635 \n",
"A73 4761 \n",
"A76 1366 \n",
"A78 1867 \n",
"A87 2065 \n",
"A89 4777 \n",
"A93 5954 \n",
"A101 6849 \n",
"A109 4390 \n",
"A113 2091 \n",
"A114 1638 \n",
"A115 4613 \n",
"A142 2601 \n",
"A144 1892 \n",
"A149 3267 \n",
"A164 2294 \n",
"A165 2978 \n",
"B1 1217 \n",
"B2 6238 \n",
"B3 2325 \n",
"B5 5004 \n",
"B6 2829 \n",
"B7 2192 \n",
"B8 2921 \n",
"B13 4303 \n",
"B14 2793 \n",
"B28 3671 \n",
"B29 5350 \n",
"B36 4566 \n",
"B37 3984 \n",
"B94 5597 \n",
"B99 5191 \n",
"B103 2204 \n",
"B106 5523 \n",
"B111 1556 \n",
"B114 4983 \n",
"B115 5993 \n",
"B120 2126 \n",
"B127 4429 \n",
"B132 2598 \n",
"B141 4222 \n",
"B142 4925 \n",
"B143 5753 \n",
"B152 1261 \n",
"B156 1822 \n",
"B158 2478 \n",
"B164 4868 \n",
"\n",
"Taxonomy g__Clostridium;s__uncultured Clostridium sp. \\\n",
"A3 3793 \n",
"A5 2795 \n",
"A6 1355 \n",
"A9 5558 \n",
"A31 5383 \n",
"A51 3505 \n",
"A52 5541 \n",
"A53 4429 \n",
"A54 4121 \n",
"A59 3258 \n",
"A67 1901 \n",
"A68 2940 \n",
"A69 3820 \n",
"A71 5118 \n",
"A73 1582 \n",
"A76 4168 \n",
"A78 3831 \n",
"A87 3464 \n",
"A89 2942 \n",
"A93 3291 \n",
"A101 4586 \n",
"A109 1014 \n",
"A113 4100 \n",
"A114 4336 \n",
"A115 2301 \n",
"A142 6372 \n",
"A144 4020 \n",
"A149 3511 \n",
"A164 4328 \n",
"A165 3906 \n",
"B1 3853 \n",
"B2 4624 \n",
"B3 3842 \n",
"B5 4399 \n",
"B6 3916 \n",
"B7 3355 \n",
"B8 5165 \n",
"B13 4453 \n",
"B14 1999 \n",
"B28 3974 \n",
"B29 1185 \n",
"B36 3895 \n",
"B37 2710 \n",
"B94 3425 \n",
"B99 1559 \n",
"B103 4902 \n",
"B106 3016 \n",
"B111 6066 \n",
"B114 5082 \n",
"B115 3764 \n",
"B120 4085 \n",
"B127 6041 \n",
"B132 6188 \n",
"B141 3960 \n",
"B142 4403 \n",
"B143 2841 \n",
"B152 2746 \n",
"B156 3808 \n",
"B158 3856 \n",
"B164 3211 \n",
"\n",
"Taxonomy g__Butyricimonas;s__Butyricimonas virosa \\\n",
"A3 64 \n",
"A5 1385 \n",
"A6 725 \n",
"A9 1553 \n",
"A31 40 \n",
"A51 53 \n",
"A52 33 \n",
"A53 175 \n",
"A54 58 \n",
"A59 1636 \n",
"A67 1170 \n",
"A68 80 \n",
"A69 59 \n",
"A71 77 \n",
"A73 1364 \n",
"A76 67 \n",
"A78 63 \n",
"A87 7 \n",
"A89 999 \n",
"A93 39 \n",
"A101 3285 \n",
"A109 30 \n",
"A113 54 \n",
"A114 1168 \n",
"A115 50 \n",
"A142 38 \n",
"A144 49 \n",
"A149 27 \n",
"A164 1685 \n",
"A165 838 \n",
"B1 1624 \n",
"B2 1 \n",
"B3 703 \n",
"B5 43 \n",
"B6 46 \n",
"B7 1505 \n",
"B8 32 \n",
"B13 1474 \n",
"B14 2 \n",
"B28 52 \n",
"B29 4 \n",
"B36 5 \n",
"B37 43 \n",
"B94 1449 \n",
"B99 5 \n",
"B103 36 \n",
"B106 34 \n",
"B111 37 \n",
"B114 113 \n",
"B115 46 \n",
"B120 2065 \n",
"B127 21 \n",
"B132 27 \n",
"B141 55 \n",
"B142 35 \n",
"B143 8 \n",
"B152 884 \n",
"B156 13 \n",
"B158 3 \n",
"B164 218 \n",
"\n",
"Taxonomy g__Alistipes;s__Alistipes indistinctus \\\n",
"A3 15 \n",
"A5 20 \n",
"A6 723 \n",
"A9 620 \n",
"A31 3261 \n",
"A51 43 \n",
"A52 83 \n",
"A53 37 \n",
"A54 43 \n",
"A59 1114 \n",
"A67 2531 \n",
"A68 207 \n",
"A69 59 \n",
"A71 50 \n",
"A73 55 \n",
"A76 1194 \n",
"A78 68 \n",
"A87 49 \n",
"A89 979 \n",
"A93 10 \n",
"A101 3159 \n",
"A109 61 \n",
"A113 2606 \n",
"A114 2821 \n",
"A115 21 \n",
"A142 2276 \n",
"A144 3 \n",
"A149 34 \n",
"A164 2681 \n",
"A165 2103 \n",
"B1 2452 \n",
"B2 3 \n",
"B3 819 \n",
"B5 2761 \n",
"B6 691 \n",
"B7 2768 \n",
"B8 25 \n",
"B13 1095 \n",
"B14 13 \n",
"B28 4 \n",
"B29 4 \n",
"B36 6 \n",
"B37 356 \n",
"B94 2380 \n",
"B99 23 \n",
"B103 3089 \n",
"B106 33 \n",
"B111 2052 \n",
"B114 2801 \n",
"B115 2 \n",
"B120 90 \n",
"B127 22 \n",
"B132 30 \n",
"B141 1027 \n",
"B142 2641 \n",
"B143 4 \n",
"B152 1587 \n",
"B156 2223 \n",
"B158 6 \n",
"B164 1473 \n",
"\n",
"Taxonomy g__Unclassified;s__Firmicutes bacterium CAG:176 \\\n",
"A3 100 \n",
"A5 29 \n",
"A6 11 \n",
"A9 1320 \n",
"A31 51 \n",
"A51 45 \n",
"A52 52 \n",
"A53 64 \n",
"A54 60 \n",
"A59 896 \n",
"A67 26 \n",
"A68 54 \n",
"A69 35 \n",
"A71 1953 \n",
"A73 23 \n",
"A76 54 \n",
"A78 50 \n",
"A87 70 \n",
"A89 55 \n",
"A93 36 \n",
"A101 1109 \n",
"A109 25 \n",
"A113 48 \n",
"A114 3034 \n",
"A115 67 \n",
"A142 1196 \n",
"A144 123 \n",
"A149 160 \n",
"A164 49 \n",
"A165 1158 \n",
"B1 185 \n",
"B2 41 \n",
"B3 24 \n",
"B5 1418 \n",
"B6 119 \n",
"B7 23 \n",
"B8 757 \n",
"B13 629 \n",
"B14 12 \n",
"B28 37 \n",
"B29 7 \n",
"B36 8 \n",
"B37 19 \n",
"B94 65 \n",
"B99 13 \n",
"B103 851 \n",
"B106 34 \n",
"B111 208 \n",
"B114 803 \n",
"B115 30 \n",
"B120 829 \n",
"B127 136 \n",
"B132 159 \n",
"B141 22 \n",
"B142 41 \n",
"B143 10 \n",
"B152 28 \n",
"B156 38 \n",
"B158 15 \n",
"B164 64 \n",
"\n",
"Taxonomy g__Clostridium;s__Clostridium sp. CAG:7 \\\n",
"A3 2119 \n",
"A5 1230 \n",
"A6 1322 \n",
"A9 2675 \n",
"A31 1470 \n",
"A51 2262 \n",
"A52 2984 \n",
"A53 2004 \n",
"A54 1904 \n",
"A59 1227 \n",
"A67 821 \n",
"A68 1420 \n",
"A69 167 \n",
"A71 1696 \n",
"A73 1389 \n",
"A76 1192 \n",
"A78 1772 \n",
"A87 1807 \n",
"A89 144 \n",
"A93 1291 \n",
"A101 1876 \n",
"A109 245 \n",
"A113 1945 \n",
"A114 2036 \n",
"A115 1489 \n",
"A142 1754 \n",
"A144 1556 \n",
"A149 2035 \n",
"A164 2370 \n",
"A165 2136 \n",
"B1 1358 \n",
"B2 1850 \n",
"B3 1504 \n",
"B5 1566 \n",
"B6 1831 \n",
"B7 643 \n",
"B8 2117 \n",
"B13 1581 \n",
"B14 1229 \n",
"B28 2649 \n",
"B29 1284 \n",
"B36 818 \n",
"B37 1451 \n",
"B94 1999 \n",
"B99 108 \n",
"B103 2361 \n",
"B106 2246 \n",
"B111 1839 \n",
"B114 1769 \n",
"B115 2045 \n",
"B120 2475 \n",
"B127 1649 \n",
"B132 2018 \n",
"B141 1999 \n",
"B142 2027 \n",
"B143 180 \n",
"B152 2134 \n",
"B156 1134 \n",
"B158 1487 \n",
"B164 1797 \n",
"\n",
"Taxonomy g__Unclassified;s__Firmicutes bacterium CAG:882 \\\n",
"A3 12 \n",
"A5 24 \n",
"A6 1 \n",
"A9 44 \n",
"A31 26 \n",
"A51 9 \n",
"A52 25 \n",
"A53 19 \n",
"A54 17 \n",
"A59 17 \n",
"A67 15 \n",
"A68 7 \n",
"A69 9 \n",
"A71 127 \n",
"A73 24 \n",
"A76 17 \n",
"A78 15 \n",
"A87 15 \n",
"A89 21 \n",
"A93 18 \n",
"A101 31 \n",
"A109 17 \n",
"A113 17 \n",
"A114 74 \n",
"A115 11 \n",
"A142 42 \n",
"A144 2940 \n",
"A149 20 \n",
"A164 35 \n",
"A165 82 \n",
"B1 30 \n",
"B2 13 \n",
"B3 381 \n",
"B5 1569 \n",
"B6 15 \n",
"B7 4 \n",
"B8 22 \n",
"B13 16 \n",
"B14 2 \n",
"B28 53 \n",
"B29 16 \n",
"B36 40 \n",
"B37 61 \n",
"B94 57 \n",
"B99 888 \n",
"B103 20 \n",
"B106 9 \n",
"B111 1718 \n",
"B114 1473 \n",
"B115 33 \n",
"B120 15 \n",
"B127 1711 \n",
"B132 1456 \n",
"B141 11 \n",
"B142 9 \n",
"B143 46 \n",
"B152 19 \n",
"B156 25 \n",
"B158 47 \n",
"B164 8 \n",
"\n",
"Taxonomy g__Lachnoclostridium;s__[Clostridium] asparagiforme \\\n",
"A3 453 \n",
"A5 691 \n",
"A6 2278 \n",
"A9 107 \n",
"A31 342 \n",
"A51 1304 \n",
"A52 1400 \n",
"A53 1207 \n",
"A54 2034 \n",
"A59 2051 \n",
"A67 20 \n",
"A68 105 \n",
"A69 752 \n",
"A71 527 \n",
"A73 478 \n",
"A76 423 \n",
"A78 260 \n",
"A87 2534 \n",
"A89 1611 \n",
"A93 2758 \n",
"A101 438 \n",
"A109 1595 \n",
"A113 2038 \n",
"A114 747 \n",
"A115 1336 \n",
"A142 646 \n",
"A144 909 \n",
"A149 227 \n",
"A164 402 \n",
"A165 539 \n",
"B1 145 \n",
"B2 2524 \n",
"B3 2208 \n",
"B5 453 \n",
"B6 236 \n",
"B7 2670 \n",
"B8 1656 \n",
"B13 2566 \n",
"B14 128 \n",
"B28 46 \n",
"B29 2564 \n",
"B36 1438 \n",
"B37 2142 \n",
"B94 323 \n",
"B99 563 \n",
"B103 776 \n",
"B106 437 \n",
"B111 475 \n",
"B114 1537 \n",
"B115 580 \n",
"B120 1555 \n",
"B127 554 \n",
"B132 389 \n",
"B141 548 \n",
"B142 1815 \n",
"B143 1508 \n",
"B152 1169 \n",
"B156 321 \n",
"B158 2169 \n",
"B164 159 \n",
"\n",
"Taxonomy g__Butyricicoccus;s__uncultured Butyricicoccus sp. ... \\\n",
"A3 1266 ... \n",
"A5 1682 ... \n",
"A6 43 ... \n",
"A9 1726 ... \n",
"A31 1804 ... \n",
"A51 1441 ... \n",
"A52 2691 ... \n",
"A53 1886 ... \n",
"A54 919 ... \n",
"A59 2215 ... \n",
"A67 1063 ... \n",
"A68 1765 ... \n",
"A69 146 ... \n",
"A71 2171 ... \n",
"A73 1679 ... \n",
"A76 948 ... \n",
"A78 632 ... \n",
"A87 1231 ... \n",
"A89 1110 ... \n",
"A93 1317 ... \n",
"A101 2153 ... \n",
"A109 82 ... \n",
"A113 1116 ... \n",
"A114 2065 ... \n",
"A115 1033 ... \n",
"A142 1169 ... \n",
"A144 1583 ... \n",
"A149 1016 ... \n",
"A164 1592 ... \n",
"A165 1051 ... \n",
"B1 1949 ... \n",
"B2 1858 ... \n",
"B3 2209 ... \n",
"B5 1979 ... \n",
"B6 2451 ... \n",
"B7 750 ... \n",
"B8 1563 ... \n",
"B13 2502 ... \n",
"B14 1262 ... \n",
"B28 1989 ... \n",
"B29 1146 ... \n",
"B36 2241 ... \n",
"B37 1341 ... \n",
"B94 1038 ... \n",
"B99 572 ... \n",
"B103 1756 ... \n",
"B106 727 ... \n",
"B111 653 ... \n",
"B114 2117 ... \n",
"B115 1132 ... \n",
"B120 1099 ... \n",
"B127 2072 ... \n",
"B132 1868 ... \n",
"B141 1853 ... \n",
"B142 2277 ... \n",
"B143 1069 ... \n",
"B152 1226 ... \n",
"B156 1601 ... \n",
"B158 839 ... \n",
"B164 1278 ... \n",
"\n",
"Taxonomy g__Unclassified;s__Clostridium phage c-st \\\n",
"A3 0 \n",
"A5 0 \n",
"A6 0 \n",
"A9 0 \n",
"A31 0 \n",
"A51 0 \n",
"A52 0 \n",
"A53 0 \n",
"A54 0 \n",
"A59 0 \n",
"A67 0 \n",
"A68 0 \n",
"A69 0 \n",
"A71 0 \n",
"A73 0 \n",
"A76 0 \n",
"A78 0 \n",
"A87 0 \n",
"A89 0 \n",
"A93 0 \n",
"A101 0 \n",
"A109 0 \n",
"A113 0 \n",
"A114 0 \n",
"A115 0 \n",
"A142 0 \n",
"A144 0 \n",
"A149 0 \n",
"A164 0 \n",
"A165 0 \n",
"B1 0 \n",
"B2 0 \n",
"B3 0 \n",
"B5 0 \n",
"B6 0 \n",
"B7 0 \n",
"B8 0 \n",
"B13 0 \n",
"B14 0 \n",
"B28 0 \n",
"B29 0 \n",
"B36 0 \n",
"B37 0 \n",
"B94 0 \n",
"B99 0 \n",
"B103 0 \n",
"B106 0 \n",
"B111 0 \n",
"B114 0 \n",
"B115 0 \n",
"B120 0 \n",
"B127 0 \n",
"B132 0 \n",
"B141 0 \n",
"B142 0 \n",
"B143 0 \n",
"B152 0 \n",
"B156 0 \n",
"B158 0 \n",
"B164 0 \n",
"\n",
"Taxonomy g__Unclassified;s__Enterococcus phage EFDG1 \\\n",
"A3 0 \n",
"A5 0 \n",
"A6 0 \n",
"A9 0 \n",
"A31 0 \n",
"A51 0 \n",
"A52 0 \n",
"A53 0 \n",
"A54 0 \n",
"A59 0 \n",
"A67 0 \n",
"A68 0 \n",
"A69 0 \n",
"A71 0 \n",
"A73 0 \n",
"A76 0 \n",
"A78 0 \n",
"A87 0 \n",
"A89 0 \n",
"A93 0 \n",
"A101 0 \n",
"A109 0 \n",
"A113 0 \n",
"A114 0 \n",
"A115 0 \n",
"A142 0 \n",
"A144 0 \n",
"A149 0 \n",
"A164 0 \n",
"A165 0 \n",
"B1 0 \n",
"B2 0 \n",
"B3 0 \n",
"B5 0 \n",
"B6 0 \n",
"B7 0 \n",
"B8 0 \n",
"B13 0 \n",
"B14 0 \n",
"B28 0 \n",
"B29 0 \n",
"B36 0 \n",
"B37 0 \n",
"B94 0 \n",
"B99 0 \n",
"B103 0 \n",
"B106 0 \n",
"B111 0 \n",
"B114 0 \n",
"B115 0 \n",
"B120 0 \n",
"B127 0 \n",
"B132 0 \n",
"B141 0 \n",
"B142 0 \n",
"B143 0 \n",
"B152 0 \n",
"B156 0 \n",
"B158 0 \n",
"B164 0 \n",
"\n",
"Taxonomy g__Unclassified;s__Podovirus Lau218 \\\n",
"A3 0 \n",
"A5 0 \n",
"A6 0 \n",
"A9 0 \n",
"A31 0 \n",
"A51 0 \n",
"A52 0 \n",
"A53 0 \n",
"A54 0 \n",
"A59 0 \n",
"A67 0 \n",
"A68 0 \n",
"A69 0 \n",
"A71 0 \n",
"A73 0 \n",
"A76 0 \n",
"A78 0 \n",
"A87 0 \n",
"A89 0 \n",
"A93 0 \n",
"A101 0 \n",
"A109 0 \n",
"A113 0 \n",
"A114 0 \n",
"A115 0 \n",
"A142 0 \n",
"A144 0 \n",
"A149 0 \n",
"A164 0 \n",
"A165 0 \n",
"B1 0 \n",
"B2 0 \n",
"B3 0 \n",
"B5 0 \n",
"B6 0 \n",
"B7 0 \n",
"B8 0 \n",
"B13 0 \n",
"B14 0 \n",
"B28 0 \n",
"B29 0 \n",
"B36 0 \n",
"B37 0 \n",
"B94 0 \n",
"B99 0 \n",
"B103 0 \n",
"B106 0 \n",
"B111 0 \n",
"B114 0 \n",
"B115 0 \n",
"B120 0 \n",
"B127 0 \n",
"B132 0 \n",
"B141 0 \n",
"B142 0 \n",
"B143 0 \n",
"B152 0 \n",
"B156 0 \n",
"B158 0 \n",
"B164 0 \n",
"\n",
"Taxonomy g__Sap6virus;s__Enterococcus phage VD13 \\\n",
"A3 0 \n",
"A5 0 \n",
"A6 0 \n",
"A9 0 \n",
"A31 0 \n",
"A51 0 \n",
"A52 0 \n",
"A53 0 \n",
"A54 0 \n",
"A59 0 \n",
"A67 0 \n",
"A68 0 \n",
"A69 0 \n",
"A71 0 \n",
"A73 0 \n",
"A76 0 \n",
"A78 0 \n",
"A87 0 \n",
"A89 0 \n",
"A93 0 \n",
"A101 0 \n",
"A109 0 \n",
"A113 0 \n",
"A114 0 \n",
"A115 0 \n",
"A142 0 \n",
"A144 0 \n",
"A149 0 \n",
"A164 0 \n",
"A165 0 \n",
"B1 0 \n",
"B2 0 \n",
"B3 0 \n",
"B5 0 \n",
"B6 0 \n",
"B7 0 \n",
"B8 0 \n",
"B13 0 \n",
"B14 0 \n",
"B28 0 \n",
"B29 0 \n",
"B36 0 \n",
"B37 0 \n",
"B94 0 \n",
"B99 0 \n",
"B103 0 \n",
"B106 0 \n",
"B111 0 \n",
"B114 0 \n",
"B115 0 \n",
"B120 0 \n",
"B127 0 \n",
"B132 0 \n",
"B141 0 \n",
"B142 0 \n",
"B143 0 \n",
"B152 0 \n",
"B156 0 \n",
"B158 0 \n",
"B164 0 \n",
"\n",
"Taxonomy g__Unclassified;s__Bacillus phage vB_BanS-Tsamsa \\\n",
"A3 0 \n",
"A5 0 \n",
"A6 0 \n",
"A9 0 \n",
"A31 0 \n",
"A51 0 \n",
"A52 0 \n",
"A53 0 \n",
"A54 0 \n",
"A59 0 \n",
"A67 0 \n",
"A68 0 \n",
"A69 0 \n",
"A71 0 \n",
"A73 0 \n",
"A76 0 \n",
"A78 0 \n",
"A87 0 \n",
"A89 0 \n",
"A93 0 \n",
"A101 0 \n",
"A109 0 \n",
"A113 0 \n",
"A114 0 \n",
"A115 0 \n",
"A142 0 \n",
"A144 0 \n",
"A149 0 \n",
"A164 0 \n",
"A165 0 \n",
"B1 0 \n",
"B2 0 \n",
"B3 0 \n",
"B5 0 \n",
"B6 0 \n",
"B7 0 \n",
"B8 0 \n",
"B13 0 \n",
"B14 0 \n",
"B28 0 \n",
"B29 0 \n",
"B36 0 \n",
"B37 0 \n",
"B94 0 \n",
"B99 0 \n",
"B103 0 \n",
"B106 0 \n",
"B111 0 \n",
"B114 0 \n",
"B115 0 \n",
"B120 0 \n",
"B127 0 \n",
"B132 0 \n",
"B141 0 \n",
"B142 0 \n",
"B143 0 \n",
"B152 0 \n",
"B156 0 \n",
"B158 0 \n",
"B164 0 \n",
"\n",
"Taxonomy g__Unclassified;s__Gordonia phage GTE2 \\\n",
"A3 0 \n",
"A5 0 \n",
"A6 0 \n",
"A9 0 \n",
"A31 0 \n",
"A51 0 \n",
"A52 0 \n",
"A53 0 \n",
"A54 0 \n",
"A59 0 \n",
"A67 0 \n",
"A68 0 \n",
"A69 0 \n",
"A71 0 \n",
"A73 0 \n",
"A76 0 \n",
"A78 0 \n",
"A87 0 \n",
"A89 0 \n",
"A93 0 \n",
"A101 0 \n",
"A109 0 \n",
"A113 0 \n",
"A114 0 \n",
"A115 0 \n",
"A142 0 \n",
"A144 0 \n",
"A149 0 \n",
"A164 0 \n",
"A165 0 \n",
"B1 0 \n",
"B2 0 \n",
"B3 0 \n",
"B5 0 \n",
"B6 0 \n",
"B7 0 \n",
"B8 0 \n",
"B13 0 \n",
"B14 0 \n",
"B28 0 \n",
"B29 0 \n",
"B36 0 \n",
"B37 0 \n",
"B94 0 \n",
"B99 0 \n",
"B103 0 \n",
"B106 0 \n",
"B111 0 \n",
"B114 0 \n",
"B115 0 \n",
"B120 0 \n",
"B127 0 \n",
"B132 0 \n",
"B141 0 \n",
"B142 0 \n",
"B143 0 \n",
"B152 0 \n",
"B156 0 \n",
"B158 0 \n",
"B164 0 \n",
"\n",
"Taxonomy g__Alphabaculovirus;s__Hyphantria cunea nucleopolyhedrovirus \\\n",
"A3 0 \n",
"A5 0 \n",
"A6 0 \n",
"A9 0 \n",
"A31 0 \n",
"A51 0 \n",
"A52 0 \n",
"A53 0 \n",
"A54 0 \n",
"A59 0 \n",
"A67 0 \n",
"A68 0 \n",
"A69 0 \n",
"A71 0 \n",
"A73 0 \n",
"A76 0 \n",
"A78 0 \n",
"A87 0 \n",
"A89 0 \n",
"A93 0 \n",
"A101 0 \n",
"A109 0 \n",
"A113 0 \n",
"A114 0 \n",
"A115 0 \n",
"A142 0 \n",
"A144 0 \n",
"A149 0 \n",
"A164 0 \n",
"A165 0 \n",
"B1 0 \n",
"B2 0 \n",
"B3 0 \n",
"B5 0 \n",
"B6 0 \n",
"B7 0 \n",
"B8 0 \n",
"B13 0 \n",
"B14 0 \n",
"B28 0 \n",
"B29 0 \n",
"B36 0 \n",
"B37 0 \n",
"B94 0 \n",
"B99 0 \n",
"B103 0 \n",
"B106 0 \n",
"B111 0 \n",
"B114 0 \n",
"B115 0 \n",
"B120 0 \n",
"B127 0 \n",
"B132 0 \n",
"B141 0 \n",
"B142 0 \n",
"B143 0 \n",
"B152 0 \n",
"B156 0 \n",
"B158 0 \n",
"B164 0 \n",
"\n",
"Taxonomy g__Potyvirus;s__Bean common mosaic virus \\\n",
"A3 0 \n",
"A5 0 \n",
"A6 0 \n",
"A9 0 \n",
"A31 0 \n",
"A51 0 \n",
"A52 0 \n",
"A53 0 \n",
"A54 0 \n",
"A59 0 \n",
"A67 0 \n",
"A68 0 \n",
"A69 0 \n",
"A71 0 \n",
"A73 0 \n",
"A76 0 \n",
"A78 0 \n",
"A87 0 \n",
"A89 0 \n",
"A93 0 \n",
"A101 0 \n",
"A109 0 \n",
"A113 0 \n",
"A114 0 \n",
"A115 0 \n",
"A142 0 \n",
"A144 0 \n",
"A149 0 \n",
"A164 0 \n",
"A165 0 \n",
"B1 0 \n",
"B2 0 \n",
"B3 0 \n",
"B5 0 \n",
"B6 0 \n",
"B7 0 \n",
"B8 0 \n",
"B13 0 \n",
"B14 0 \n",
"B28 0 \n",
"B29 0 \n",
"B36 0 \n",
"B37 0 \n",
"B94 0 \n",
"B99 0 \n",
"B103 0 \n",
"B106 0 \n",
"B111 0 \n",
"B114 0 \n",
"B115 0 \n",
"B120 0 \n",
"B127 0 \n",
"B132 0 \n",
"B141 0 \n",
"B142 0 \n",
"B143 0 \n",
"B152 0 \n",
"B156 0 \n",
"B158 0 \n",
"B164 0 \n",
"\n",
"Taxonomy g__Potyvirus;s__Telosma mosaic virus \\\n",
"A3 0 \n",
"A5 0 \n",
"A6 0 \n",
"A9 0 \n",
"A31 0 \n",
"A51 0 \n",
"A52 0 \n",
"A53 0 \n",
"A54 0 \n",
"A59 0 \n",
"A67 0 \n",
"A68 0 \n",
"A69 0 \n",
"A71 0 \n",
"A73 0 \n",
"A76 0 \n",
"A78 0 \n",
"A87 0 \n",
"A89 0 \n",
"A93 0 \n",
"A101 0 \n",
"A109 0 \n",
"A113 0 \n",
"A114 0 \n",
"A115 0 \n",
"A142 0 \n",
"A144 0 \n",
"A149 0 \n",
"A164 0 \n",
"A165 0 \n",
"B1 0 \n",
"B2 0 \n",
"B3 0 \n",
"B5 0 \n",
"B6 0 \n",
"B7 0 \n",
"B8 0 \n",
"B13 0 \n",
"B14 0 \n",
"B28 0 \n",
"B29 0 \n",
"B36 0 \n",
"B37 0 \n",
"B94 0 \n",
"B99 0 \n",
"B103 0 \n",
"B106 0 \n",
"B111 0 \n",
"B114 0 \n",
"B115 0 \n",
"B120 0 \n",
"B127 0 \n",
"B132 0 \n",
"B141 0 \n",
"B142 0 \n",
"B143 0 \n",
"B152 0 \n",
"B156 0 \n",
"B158 0 \n",
"B164 0 \n",
"\n",
"Taxonomy g__Unclassified;s__Freshwater phage uvFW-CGR-AMD-COM-C203 \n",
"A3 0 \n",
"A5 0 \n",
"A6 0 \n",
"A9 0 \n",
"A31 0 \n",
"A51 0 \n",
"A52 0 \n",
"A53 0 \n",
"A54 0 \n",
"A59 0 \n",
"A67 0 \n",
"A68 0 \n",
"A69 0 \n",
"A71 0 \n",
"A73 0 \n",
"A76 0 \n",
"A78 0 \n",
"A87 0 \n",
"A89 0 \n",
"A93 0 \n",
"A101 0 \n",
"A109 0 \n",
"A113 0 \n",
"A114 0 \n",
"A115 0 \n",
"A142 0 \n",
"A144 0 \n",
"A149 0 \n",
"A164 0 \n",
"A165 0 \n",
"B1 0 \n",
"B2 0 \n",
"B3 0 \n",
"B5 0 \n",
"B6 0 \n",
"B7 0 \n",
"B8 0 \n",
"B13 0 \n",
"B14 0 \n",
"B28 0 \n",
"B29 0 \n",
"B36 0 \n",
"B37 0 \n",
"B94 0 \n",
"B99 0 \n",
"B103 0 \n",
"B106 0 \n",
"B111 0 \n",
"B114 0 \n",
"B115 0 \n",
"B120 0 \n",
"B127 0 \n",
"B132 0 \n",
"B141 0 \n",
"B142 0 \n",
"B143 0 \n",
"B152 0 \n",
"B156 0 \n",
"B158 0 \n",
"B164 0 \n",
"\n",
"[60 rows x 5619 columns]"
],
"text/html": [
"\n",
" <div id=\"df-5fc41764-f783-41d4-9875-e70db89c7865\" class=\"colab-df-container\">\n",
" <div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th>Taxonomy</th>\n",
" <th>g__Faecalibacterium;s__Faecalibacterium prausnitzii</th>\n",
" <th>g__Hungatella;s__Hungatella hathewayi</th>\n",
" <th>g__Clostridium;s__uncultured Clostridium sp.</th>\n",
" <th>g__Butyricimonas;s__Butyricimonas virosa</th>\n",
" <th>g__Alistipes;s__Alistipes indistinctus</th>\n",
" <th>g__Unclassified;s__Firmicutes bacterium CAG:176</th>\n",
" <th>g__Clostridium;s__Clostridium sp. CAG:7</th>\n",
" <th>g__Unclassified;s__Firmicutes bacterium CAG:882</th>\n",
" <th>g__Lachnoclostridium;s__[Clostridium] asparagiforme</th>\n",
" <th>g__Butyricicoccus;s__uncultured Butyricicoccus sp.</th>\n",
" <th>...</th>\n",
" <th>g__Unclassified;s__Clostridium phage c-st</th>\n",
" <th>g__Unclassified;s__Enterococcus phage EFDG1</th>\n",
" <th>g__Unclassified;s__Podovirus Lau218</th>\n",
" <th>g__Sap6virus;s__Enterococcus phage VD13</th>\n",
" <th>g__Unclassified;s__Bacillus phage vB_BanS-Tsamsa</th>\n",
" <th>g__Unclassified;s__Gordonia phage GTE2</th>\n",
" <th>g__Alphabaculovirus;s__Hyphantria cunea nucleopolyhedrovirus</th>\n",
" <th>g__Potyvirus;s__Bean common mosaic virus</th>\n",
" <th>g__Potyvirus;s__Telosma mosaic virus</th>\n",
" <th>g__Unclassified;s__Freshwater phage uvFW-CGR-AMD-COM-C203</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>A3</th>\n",
" <td>4988</td>\n",
" <td>5803</td>\n",
" <td>3793</td>\n",
" <td>64</td>\n",
" <td>15</td>\n",
" <td>100</td>\n",
" <td>2119</td>\n",
" <td>12</td>\n",
" <td>453</td>\n",
" <td>1266</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A5</th>\n",
" <td>5060</td>\n",
" <td>5612</td>\n",
" <td>2795</td>\n",
" <td>1385</td>\n",
" <td>20</td>\n",
" <td>29</td>\n",
" <td>1230</td>\n",
" <td>24</td>\n",
" <td>691</td>\n",
" <td>1682</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A6</th>\n",
" <td>2905</td>\n",
" <td>4109</td>\n",
" <td>1355</td>\n",
" <td>725</td>\n",
" <td>723</td>\n",
" <td>11</td>\n",
" <td>1322</td>\n",
" <td>1</td>\n",
" <td>2278</td>\n",
" <td>43</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A9</th>\n",
" <td>5745</td>\n",
" <td>1432</td>\n",
" <td>5558</td>\n",
" <td>1553</td>\n",
" <td>620</td>\n",
" <td>1320</td>\n",
" <td>2675</td>\n",
" <td>44</td>\n",
" <td>107</td>\n",
" <td>1726</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A31</th>\n",
" <td>4822</td>\n",
" <td>2652</td>\n",
" <td>5383</td>\n",
" <td>40</td>\n",
" <td>3261</td>\n",
" <td>51</td>\n",
" <td>1470</td>\n",
" <td>26</td>\n",
" <td>342</td>\n",
" <td>1804</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A51</th>\n",
" <td>3889</td>\n",
" <td>4175</td>\n",
" <td>3505</td>\n",
" <td>53</td>\n",
" <td>43</td>\n",
" <td>45</td>\n",
" <td>2262</td>\n",
" <td>9</td>\n",
" <td>1304</td>\n",
" <td>1441</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A52</th>\n",
" <td>4646</td>\n",
" <td>3891</td>\n",
" <td>5541</td>\n",
" <td>33</td>\n",
" <td>83</td>\n",
" <td>52</td>\n",
" <td>2984</td>\n",
" <td>25</td>\n",
" <td>1400</td>\n",
" <td>2691</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A53</th>\n",
" <td>6337</td>\n",
" <td>894</td>\n",
" <td>4429</td>\n",
" <td>175</td>\n",
" <td>37</td>\n",
" <td>64</td>\n",
" <td>2004</td>\n",
" <td>19</td>\n",
" <td>1207</td>\n",
" <td>1886</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A54</th>\n",
" <td>5064</td>\n",
" <td>4903</td>\n",
" <td>4121</td>\n",
" <td>58</td>\n",
" <td>43</td>\n",
" <td>60</td>\n",
" <td>1904</td>\n",
" <td>17</td>\n",
" <td>2034</td>\n",
" <td>919</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A59</th>\n",
" <td>6359</td>\n",
" <td>2970</td>\n",
" <td>3258</td>\n",
" <td>1636</td>\n",
" <td>1114</td>\n",
" <td>896</td>\n",
" <td>1227</td>\n",
" <td>17</td>\n",
" <td>2051</td>\n",
" <td>2215</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A67</th>\n",
" <td>3194</td>\n",
" <td>4029</td>\n",
" <td>1901</td>\n",
" <td>1170</td>\n",
" <td>2531</td>\n",
" <td>26</td>\n",
" <td>821</td>\n",
" <td>15</td>\n",
" <td>20</td>\n",
" <td>1063</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A68</th>\n",
" <td>4486</td>\n",
" <td>1266</td>\n",
" <td>2940</td>\n",
" <td>80</td>\n",
" <td>207</td>\n",
" <td>54</td>\n",
" <td>1420</td>\n",
" <td>7</td>\n",
" <td>105</td>\n",
" <td>1765</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A69</th>\n",
" <td>3807</td>\n",
" <td>4822</td>\n",
" <td>3820</td>\n",
" <td>59</td>\n",
" <td>59</td>\n",
" <td>35</td>\n",
" <td>167</td>\n",
" <td>9</td>\n",
" <td>752</td>\n",
" <td>146</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A71</th>\n",
" <td>6208</td>\n",
" <td>1635</td>\n",
" <td>5118</td>\n",
" <td>77</td>\n",
" <td>50</td>\n",
" <td>1953</td>\n",
" <td>1696</td>\n",
" <td>127</td>\n",
" <td>527</td>\n",
" <td>2171</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A73</th>\n",
" <td>3008</td>\n",
" <td>4761</td>\n",
" <td>1582</td>\n",
" <td>1364</td>\n",
" <td>55</td>\n",
" <td>23</td>\n",
" <td>1389</td>\n",
" <td>24</td>\n",
" <td>478</td>\n",
" <td>1679</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A76</th>\n",
" <td>5628</td>\n",
" <td>1366</td>\n",
" <td>4168</td>\n",
" <td>67</td>\n",
" <td>1194</td>\n",
" <td>54</td>\n",
" <td>1192</td>\n",
" <td>17</td>\n",
" <td>423</td>\n",
" <td>948</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A78</th>\n",
" <td>5732</td>\n",
" <td>1867</td>\n",
" <td>3831</td>\n",
" <td>63</td>\n",
" <td>68</td>\n",
" <td>50</td>\n",
" <td>1772</td>\n",
" <td>15</td>\n",
" <td>260</td>\n",
" <td>632</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A87</th>\n",
" <td>5240</td>\n",
" <td>2065</td>\n",
" <td>3464</td>\n",
" <td>7</td>\n",
" <td>49</td>\n",
" <td>70</td>\n",
" <td>1807</td>\n",
" <td>15</td>\n",
" <td>2534</td>\n",
" <td>1231</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A89</th>\n",
" <td>3616</td>\n",
" <td>4777</td>\n",
" <td>2942</td>\n",
" <td>999</td>\n",
" <td>979</td>\n",
" <td>55</td>\n",
" <td>144</td>\n",
" <td>21</td>\n",
" <td>1611</td>\n",
" <td>1110</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A93</th>\n",
" <td>3355</td>\n",
" <td>5954</td>\n",
" <td>3291</td>\n",
" <td>39</td>\n",
" <td>10</td>\n",
" <td>36</td>\n",
" <td>1291</td>\n",
" <td>18</td>\n",
" <td>2758</td>\n",
" <td>1317</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A101</th>\n",
" <td>3833</td>\n",
" <td>6849</td>\n",
" <td>4586</td>\n",
" <td>3285</td>\n",
" <td>3159</td>\n",
" <td>1109</td>\n",
" <td>1876</td>\n",
" <td>31</td>\n",
" <td>438</td>\n",
" <td>2153</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A109</th>\n",
" <td>3771</td>\n",
" <td>4390</td>\n",
" <td>1014</td>\n",
" <td>30</td>\n",
" <td>61</td>\n",
" <td>25</td>\n",
" <td>245</td>\n",
" <td>17</td>\n",
" <td>1595</td>\n",
" <td>82</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A113</th>\n",
" <td>5489</td>\n",
" <td>2091</td>\n",
" <td>4100</td>\n",
" <td>54</td>\n",
" <td>2606</td>\n",
" <td>48</td>\n",
" <td>1945</td>\n",
" <td>17</td>\n",
" <td>2038</td>\n",
" <td>1116</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A114</th>\n",
" <td>6762</td>\n",
" <td>1638</td>\n",
" <td>4336</td>\n",
" <td>1168</td>\n",
" <td>2821</td>\n",
" <td>3034</td>\n",
" <td>2036</td>\n",
" <td>74</td>\n",
" <td>747</td>\n",
" <td>2065</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A115</th>\n",
" <td>3045</td>\n",
" <td>4613</td>\n",
" <td>2301</td>\n",
" <td>50</td>\n",
" <td>21</td>\n",
" <td>67</td>\n",
" <td>1489</td>\n",
" <td>11</td>\n",
" <td>1336</td>\n",
" <td>1033</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A142</th>\n",
" <td>6205</td>\n",
" <td>2601</td>\n",
" <td>6372</td>\n",
" <td>38</td>\n",
" <td>2276</td>\n",
" <td>1196</td>\n",
" <td>1754</td>\n",
" <td>42</td>\n",
" <td>646</td>\n",
" <td>1169</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A144</th>\n",
" <td>6048</td>\n",
" <td>1892</td>\n",
" <td>4020</td>\n",
" <td>49</td>\n",
" <td>3</td>\n",
" <td>123</td>\n",
" <td>1556</td>\n",
" <td>2940</td>\n",
" <td>909</td>\n",
" <td>1583</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A149</th>\n",
" <td>5418</td>\n",
" <td>3267</td>\n",
" <td>3511</td>\n",
" <td>27</td>\n",
" <td>34</td>\n",
" <td>160</td>\n",
" <td>2035</td>\n",
" <td>20</td>\n",
" <td>227</td>\n",
" <td>1016</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A164</th>\n",
" <td>5120</td>\n",
" <td>2294</td>\n",
" <td>4328</td>\n",
" <td>1685</td>\n",
" <td>2681</td>\n",
" <td>49</td>\n",
" <td>2370</td>\n",
" <td>35</td>\n",
" <td>402</td>\n",
" <td>1592</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A165</th>\n",
" <td>8504</td>\n",
" <td>2978</td>\n",
" <td>3906</td>\n",
" <td>838</td>\n",
" <td>2103</td>\n",
" <td>1158</td>\n",
" <td>2136</td>\n",
" <td>82</td>\n",
" <td>539</td>\n",
" <td>1051</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B1</th>\n",
" <td>4269</td>\n",
" <td>1217</td>\n",
" <td>3853</td>\n",
" <td>1624</td>\n",
" <td>2452</td>\n",
" <td>185</td>\n",
" <td>1358</td>\n",
" <td>30</td>\n",
" <td>145</td>\n",
" <td>1949</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B2</th>\n",
" <td>4397</td>\n",
" <td>6238</td>\n",
" <td>4624</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>41</td>\n",
" <td>1850</td>\n",
" <td>13</td>\n",
" <td>2524</td>\n",
" <td>1858</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B3</th>\n",
" <td>4499</td>\n",
" <td>2325</td>\n",
" <td>3842</td>\n",
" <td>703</td>\n",
" <td>819</td>\n",
" <td>24</td>\n",
" <td>1504</td>\n",
" <td>381</td>\n",
" <td>2208</td>\n",
" <td>2209</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B5</th>\n",
" <td>6126</td>\n",
" <td>5004</td>\n",
" <td>4399</td>\n",
" <td>43</td>\n",
" <td>2761</td>\n",
" <td>1418</td>\n",
" <td>1566</td>\n",
" <td>1569</td>\n",
" <td>453</td>\n",
" <td>1979</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B6</th>\n",
" <td>7020</td>\n",
" <td>2829</td>\n",
" <td>3916</td>\n",
" <td>46</td>\n",
" <td>691</td>\n",
" <td>119</td>\n",
" <td>1831</td>\n",
" <td>15</td>\n",
" <td>236</td>\n",
" <td>2451</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B7</th>\n",
" <td>5404</td>\n",
" <td>2192</td>\n",
" <td>3355</td>\n",
" <td>1505</td>\n",
" <td>2768</td>\n",
" <td>23</td>\n",
" <td>643</td>\n",
" <td>4</td>\n",
" <td>2670</td>\n",
" <td>750</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B8</th>\n",
" <td>4404</td>\n",
" <td>2921</td>\n",
" <td>5165</td>\n",
" <td>32</td>\n",
" <td>25</td>\n",
" <td>757</td>\n",
" <td>2117</td>\n",
" <td>22</td>\n",
" <td>1656</td>\n",
" <td>1563</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B13</th>\n",
" <td>5811</td>\n",
" <td>4303</td>\n",
" <td>4453</td>\n",
" <td>1474</td>\n",
" <td>1095</td>\n",
" <td>629</td>\n",
" <td>1581</td>\n",
" <td>16</td>\n",
" <td>2566</td>\n",
" <td>2502</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B14</th>\n",
" <td>3360</td>\n",
" <td>2793</td>\n",
" <td>1999</td>\n",
" <td>2</td>\n",
" <td>13</td>\n",
" <td>12</td>\n",
" <td>1229</td>\n",
" <td>2</td>\n",
" <td>128</td>\n",
" <td>1262</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B28</th>\n",
" <td>4141</td>\n",
" <td>3671</td>\n",
" <td>3974</td>\n",
" <td>52</td>\n",
" <td>4</td>\n",
" <td>37</td>\n",
" <td>2649</td>\n",
" <td>53</td>\n",
" <td>46</td>\n",
" <td>1989</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B29</th>\n",
" <td>2880</td>\n",
" <td>5350</td>\n",
" <td>1185</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" <td>7</td>\n",
" <td>1284</td>\n",
" <td>16</td>\n",
" <td>2564</td>\n",
" <td>1146</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B36</th>\n",
" <td>3805</td>\n",
" <td>4566</td>\n",
" <td>3895</td>\n",
" <td>5</td>\n",
" <td>6</td>\n",
" <td>8</td>\n",
" <td>818</td>\n",
" <td>40</td>\n",
" <td>1438</td>\n",
" <td>2241</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B37</th>\n",
" <td>4168</td>\n",
" <td>3984</td>\n",
" <td>2710</td>\n",
" <td>43</td>\n",
" <td>356</td>\n",
" <td>19</td>\n",
" <td>1451</td>\n",
" <td>61</td>\n",
" <td>2142</td>\n",
" <td>1341</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B94</th>\n",
" <td>4543</td>\n",
" <td>5597</td>\n",
" <td>3425</td>\n",
" <td>1449</td>\n",
" <td>2380</td>\n",
" <td>65</td>\n",
" <td>1999</td>\n",
" <td>57</td>\n",
" <td>323</td>\n",
" <td>1038</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B99</th>\n",
" <td>2804</td>\n",
" <td>5191</td>\n",
" <td>1559</td>\n",
" <td>5</td>\n",
" <td>23</td>\n",
" <td>13</td>\n",
" <td>108</td>\n",
" <td>888</td>\n",
" <td>563</td>\n",
" <td>572</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B103</th>\n",
" <td>5728</td>\n",
" <td>2204</td>\n",
" <td>4902</td>\n",
" <td>36</td>\n",
" <td>3089</td>\n",
" <td>851</td>\n",
" <td>2361</td>\n",
" <td>20</td>\n",
" <td>776</td>\n",
" <td>1756</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B106</th>\n",
" <td>3827</td>\n",
" <td>5523</td>\n",
" <td>3016</td>\n",
" <td>34</td>\n",
" <td>33</td>\n",
" <td>34</td>\n",
" <td>2246</td>\n",
" <td>9</td>\n",
" <td>437</td>\n",
" <td>727</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B111</th>\n",
" <td>6030</td>\n",
" <td>1556</td>\n",
" <td>6066</td>\n",
" <td>37</td>\n",
" <td>2052</td>\n",
" <td>208</td>\n",
" <td>1839</td>\n",
" <td>1718</td>\n",
" <td>475</td>\n",
" <td>653</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B114</th>\n",
" <td>4950</td>\n",
" <td>4983</td>\n",
" <td>5082</td>\n",
" <td>113</td>\n",
" <td>2801</td>\n",
" <td>803</td>\n",
" <td>1769</td>\n",
" <td>1473</td>\n",
" <td>1537</td>\n",
" <td>2117</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B115</th>\n",
" <td>4749</td>\n",
" <td>5993</td>\n",
" <td>3764</td>\n",
" <td>46</td>\n",
" <td>2</td>\n",
" <td>30</td>\n",
" <td>2045</td>\n",
" <td>33</td>\n",
" <td>580</td>\n",
" <td>1132</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B120</th>\n",
" <td>4471</td>\n",
" <td>2126</td>\n",
" <td>4085</td>\n",
" <td>2065</td>\n",
" <td>90</td>\n",
" <td>829</td>\n",
" <td>2475</td>\n",
" <td>15</td>\n",
" <td>1555</td>\n",
" <td>1099</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B127</th>\n",
" <td>5868</td>\n",
" <td>4429</td>\n",
" <td>6041</td>\n",
" <td>21</td>\n",
" <td>22</td>\n",
" <td>136</td>\n",
" <td>1649</td>\n",
" <td>1711</td>\n",
" <td>554</td>\n",
" <td>2072</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B132</th>\n",
" <td>6561</td>\n",
" <td>2598</td>\n",
" <td>6188</td>\n",
" <td>27</td>\n",
" <td>30</td>\n",
" <td>159</td>\n",
" <td>2018</td>\n",
" <td>1456</td>\n",
" <td>389</td>\n",
" <td>1868</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B141</th>\n",
" <td>4910</td>\n",
" <td>4222</td>\n",
" <td>3960</td>\n",
" <td>55</td>\n",
" <td>1027</td>\n",
" <td>22</td>\n",
" <td>1999</td>\n",
" <td>11</td>\n",
" <td>548</td>\n",
" <td>1853</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B142</th>\n",
" <td>4492</td>\n",
" <td>4925</td>\n",
" <td>4403</td>\n",
" <td>35</td>\n",
" <td>2641</td>\n",
" <td>41</td>\n",
" <td>2027</td>\n",
" <td>9</td>\n",
" <td>1815</td>\n",
" <td>2277</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B143</th>\n",
" <td>2812</td>\n",
" <td>5753</td>\n",
" <td>2841</td>\n",
" <td>8</td>\n",
" <td>4</td>\n",
" <td>10</td>\n",
" <td>180</td>\n",
" <td>46</td>\n",
" <td>1508</td>\n",
" <td>1069</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B152</th>\n",
" <td>5303</td>\n",
" <td>1261</td>\n",
" <td>2746</td>\n",
" <td>884</td>\n",
" <td>1587</td>\n",
" <td>28</td>\n",
" <td>2134</td>\n",
" <td>19</td>\n",
" <td>1169</td>\n",
" <td>1226</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B156</th>\n",
" <td>4205</td>\n",
" <td>1822</td>\n",
" <td>3808</td>\n",
" <td>13</td>\n",
" <td>2223</td>\n",
" <td>38</td>\n",
" <td>1134</td>\n",
" <td>25</td>\n",
" <td>321</td>\n",
" <td>1601</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B158</th>\n",
" <td>3430</td>\n",
" <td>2478</td>\n",
" <td>3856</td>\n",
" <td>3</td>\n",
" <td>6</td>\n",
" <td>15</td>\n",
" <td>1487</td>\n",
" <td>47</td>\n",
" <td>2169</td>\n",
" <td>839</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B164</th>\n",
" <td>4563</td>\n",
" <td>4868</td>\n",
" <td>3211</td>\n",
" <td>218</td>\n",
" <td>1473</td>\n",
" <td>64</td>\n",
" <td>1797</td>\n",
" <td>8</td>\n",
" <td>159</td>\n",
" <td>1278</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>60 rows × 5619 columns</p>\n",
"</div>\n",
" <div class=\"colab-df-buttons\">\n",
"\n",
" <div class=\"colab-df-container\">\n",
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-5fc41764-f783-41d4-9875-e70db89c7865')\"\n",
" title=\"Convert this dataframe to an interactive table.\"\n",
" style=\"display:none;\">\n",
"\n",
" <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
" <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
" </svg>\n",
" </button>\n",
"\n",
" <style>\n",
" .colab-df-container {\n",
" display:flex;\n",
" gap: 12px;\n",
" }\n",
"\n",
" .colab-df-convert {\n",
" background-color: #E8F0FE;\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: #1967D2;\n",
" height: 32px;\n",
" padding: 0 0 0 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-convert:hover {\n",
" background-color: #E2EBFA;\n",
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: #174EA6;\n",
" }\n",
"\n",
" .colab-df-buttons div {\n",
" margin-bottom: 4px;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert {\n",
" background-color: #3B4455;\n",
" fill: #D2E3FC;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert:hover {\n",
" background-color: #434B5C;\n",
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
" fill: #FFFFFF;\n",
" }\n",
" </style>\n",
"\n",
" <script>\n",
" const buttonEl =\n",
" document.querySelector('#df-5fc41764-f783-41d4-9875-e70db89c7865 button.colab-df-convert');\n",
" buttonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"\n",
" async function convertToInteractive(key) {\n",
" const element = document.querySelector('#df-5fc41764-f783-41d4-9875-e70db89c7865');\n",
" const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
" if (!dataTable) return;\n",
"\n",
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
" + ' to learn more about interactive tables.';\n",
" element.innerHTML = '';\n",
" dataTable['output_type'] = 'display_data';\n",
" await google.colab.output.renderOutput(dataTable, element);\n",
" const docLink = document.createElement('div');\n",
" docLink.innerHTML = docLinkHtml;\n",
" element.appendChild(docLink);\n",
" }\n",
" </script>\n",
" </div>\n",
"\n",
"\n",
"<div id=\"df-b3c2b2a8-b563-4fb7-91e4-21e0261e0e53\">\n",
" <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-b3c2b2a8-b563-4fb7-91e4-21e0261e0e53')\"\n",
" title=\"Suggest charts\"\n",
" style=\"display:none;\">\n",
"\n",
"<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
" width=\"24px\">\n",
" <g>\n",
" <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
" </g>\n",
"</svg>\n",
" </button>\n",
"\n",
"<style>\n",
" .colab-df-quickchart {\n",
" --bg-color: #E8F0FE;\n",
" --fill-color: #1967D2;\n",
" --hover-bg-color: #E2EBFA;\n",
" --hover-fill-color: #174EA6;\n",
" --disabled-fill-color: #AAA;\n",
" --disabled-bg-color: #DDD;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-quickchart {\n",
" --bg-color: #3B4455;\n",
" --fill-color: #D2E3FC;\n",
" --hover-bg-color: #434B5C;\n",
" --hover-fill-color: #FFFFFF;\n",
" --disabled-bg-color: #3B4455;\n",
" --disabled-fill-color: #666;\n",
" }\n",
"\n",
" .colab-df-quickchart {\n",
" background-color: var(--bg-color);\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: var(--fill-color);\n",
" height: 32px;\n",
" padding: 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-quickchart:hover {\n",
" background-color: var(--hover-bg-color);\n",
" box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: var(--button-hover-fill-color);\n",
" }\n",
"\n",
" .colab-df-quickchart-complete:disabled,\n",
" .colab-df-quickchart-complete:disabled:hover {\n",
" background-color: var(--disabled-bg-color);\n",
" fill: var(--disabled-fill-color);\n",
" box-shadow: none;\n",
" }\n",
"\n",
" .colab-df-spinner {\n",
" border: 2px solid var(--fill-color);\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" animation:\n",
" spin 1s steps(1) infinite;\n",
" }\n",
"\n",
" @keyframes spin {\n",
" 0% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" border-left-color: var(--fill-color);\n",
" }\n",
" 20% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 30% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 40% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 60% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 80% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" 90% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" }\n",
"</style>\n",
"\n",
" <script>\n",
" async function quickchart(key) {\n",
" const quickchartButtonEl =\n",
" document.querySelector('#' + key + ' button');\n",
" quickchartButtonEl.disabled = true; // To prevent multiple clicks.\n",
" quickchartButtonEl.classList.add('colab-df-spinner');\n",
" try {\n",
" const charts = await google.colab.kernel.invokeFunction(\n",
" 'suggestCharts', [key], {});\n",
" } catch (error) {\n",
" console.error('Error during call to suggestCharts:', error);\n",
" }\n",
" quickchartButtonEl.classList.remove('colab-df-spinner');\n",
" quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
" }\n",
" (() => {\n",
" let quickchartButtonEl =\n",
" document.querySelector('#df-b3c2b2a8-b563-4fb7-91e4-21e0261e0e53 button');\n",
" quickchartButtonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
" })();\n",
" </script>\n",
"</div>\n",
" </div>\n",
" </div>\n"
]
},
"metadata": {},
"execution_count": 41
}
]
},
{
"cell_type": "markdown",
"source": [
"# Remember Base on the literatue, A is TD children and B is Autistic Children"
],
"metadata": {
"id": "rm63f5bpEsSq"
}
},
{
"cell_type": "code",
"source": [
"target = ASD_flip_Clean.index.to_list()\n",
"######\n",
"ASD_flip_Clean['group'] = ASD_flip_Clean.index.to_series().apply(lambda x: 'A' if x.startswith('A') else 'B')\n",
"ASD_flip_Clean"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"id": "Qep51Tzd6Z4I",
"outputId": "8647b28d-c578-4a75-abe4-30fbe5337a53"
},
"execution_count": 42,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"Taxonomy g__Faecalibacterium;s__Faecalibacterium prausnitzii \\\n",
"A3 4988 \n",
"A5 5060 \n",
"A6 2905 \n",
"A9 5745 \n",
"A31 4822 \n",
"A51 3889 \n",
"A52 4646 \n",
"A53 6337 \n",
"A54 5064 \n",
"A59 6359 \n",
"A67 3194 \n",
"A68 4486 \n",
"A69 3807 \n",
"A71 6208 \n",
"A73 3008 \n",
"A76 5628 \n",
"A78 5732 \n",
"A87 5240 \n",
"A89 3616 \n",
"A93 3355 \n",
"A101 3833 \n",
"A109 3771 \n",
"A113 5489 \n",
"A114 6762 \n",
"A115 3045 \n",
"A142 6205 \n",
"A144 6048 \n",
"A149 5418 \n",
"A164 5120 \n",
"A165 8504 \n",
"B1 4269 \n",
"B2 4397 \n",
"B3 4499 \n",
"B5 6126 \n",
"B6 7020 \n",
"B7 5404 \n",
"B8 4404 \n",
"B13 5811 \n",
"B14 3360 \n",
"B28 4141 \n",
"B29 2880 \n",
"B36 3805 \n",
"B37 4168 \n",
"B94 4543 \n",
"B99 2804 \n",
"B103 5728 \n",
"B106 3827 \n",
"B111 6030 \n",
"B114 4950 \n",
"B115 4749 \n",
"B120 4471 \n",
"B127 5868 \n",
"B132 6561 \n",
"B141 4910 \n",
"B142 4492 \n",
"B143 2812 \n",
"B152 5303 \n",
"B156 4205 \n",
"B158 3430 \n",
"B164 4563 \n",
"\n",
"Taxonomy g__Hungatella;s__Hungatella hathewayi \\\n",
"A3 5803 \n",
"A5 5612 \n",
"A6 4109 \n",
"A9 1432 \n",
"A31 2652 \n",
"A51 4175 \n",
"A52 3891 \n",
"A53 894 \n",
"A54 4903 \n",
"A59 2970 \n",
"A67 4029 \n",
"A68 1266 \n",
"A69 4822 \n",
"A71 1635 \n",
"A73 4761 \n",
"A76 1366 \n",
"A78 1867 \n",
"A87 2065 \n",
"A89 4777 \n",
"A93 5954 \n",
"A101 6849 \n",
"A109 4390 \n",
"A113 2091 \n",
"A114 1638 \n",
"A115 4613 \n",
"A142 2601 \n",
"A144 1892 \n",
"A149 3267 \n",
"A164 2294 \n",
"A165 2978 \n",
"B1 1217 \n",
"B2 6238 \n",
"B3 2325 \n",
"B5 5004 \n",
"B6 2829 \n",
"B7 2192 \n",
"B8 2921 \n",
"B13 4303 \n",
"B14 2793 \n",
"B28 3671 \n",
"B29 5350 \n",
"B36 4566 \n",
"B37 3984 \n",
"B94 5597 \n",
"B99 5191 \n",
"B103 2204 \n",
"B106 5523 \n",
"B111 1556 \n",
"B114 4983 \n",
"B115 5993 \n",
"B120 2126 \n",
"B127 4429 \n",
"B132 2598 \n",
"B141 4222 \n",
"B142 4925 \n",
"B143 5753 \n",
"B152 1261 \n",
"B156 1822 \n",
"B158 2478 \n",
"B164 4868 \n",
"\n",
"Taxonomy g__Clostridium;s__uncultured Clostridium sp. \\\n",
"A3 3793 \n",
"A5 2795 \n",
"A6 1355 \n",
"A9 5558 \n",
"A31 5383 \n",
"A51 3505 \n",
"A52 5541 \n",
"A53 4429 \n",
"A54 4121 \n",
"A59 3258 \n",
"A67 1901 \n",
"A68 2940 \n",
"A69 3820 \n",
"A71 5118 \n",
"A73 1582 \n",
"A76 4168 \n",
"A78 3831 \n",
"A87 3464 \n",
"A89 2942 \n",
"A93 3291 \n",
"A101 4586 \n",
"A109 1014 \n",
"A113 4100 \n",
"A114 4336 \n",
"A115 2301 \n",
"A142 6372 \n",
"A144 4020 \n",
"A149 3511 \n",
"A164 4328 \n",
"A165 3906 \n",
"B1 3853 \n",
"B2 4624 \n",
"B3 3842 \n",
"B5 4399 \n",
"B6 3916 \n",
"B7 3355 \n",
"B8 5165 \n",
"B13 4453 \n",
"B14 1999 \n",
"B28 3974 \n",
"B29 1185 \n",
"B36 3895 \n",
"B37 2710 \n",
"B94 3425 \n",
"B99 1559 \n",
"B103 4902 \n",
"B106 3016 \n",
"B111 6066 \n",
"B114 5082 \n",
"B115 3764 \n",
"B120 4085 \n",
"B127 6041 \n",
"B132 6188 \n",
"B141 3960 \n",
"B142 4403 \n",
"B143 2841 \n",
"B152 2746 \n",
"B156 3808 \n",
"B158 3856 \n",
"B164 3211 \n",
"\n",
"Taxonomy g__Butyricimonas;s__Butyricimonas virosa \\\n",
"A3 64 \n",
"A5 1385 \n",
"A6 725 \n",
"A9 1553 \n",
"A31 40 \n",
"A51 53 \n",
"A52 33 \n",
"A53 175 \n",
"A54 58 \n",
"A59 1636 \n",
"A67 1170 \n",
"A68 80 \n",
"A69 59 \n",
"A71 77 \n",
"A73 1364 \n",
"A76 67 \n",
"A78 63 \n",
"A87 7 \n",
"A89 999 \n",
"A93 39 \n",
"A101 3285 \n",
"A109 30 \n",
"A113 54 \n",
"A114 1168 \n",
"A115 50 \n",
"A142 38 \n",
"A144 49 \n",
"A149 27 \n",
"A164 1685 \n",
"A165 838 \n",
"B1 1624 \n",
"B2 1 \n",
"B3 703 \n",
"B5 43 \n",
"B6 46 \n",
"B7 1505 \n",
"B8 32 \n",
"B13 1474 \n",
"B14 2 \n",
"B28 52 \n",
"B29 4 \n",
"B36 5 \n",
"B37 43 \n",
"B94 1449 \n",
"B99 5 \n",
"B103 36 \n",
"B106 34 \n",
"B111 37 \n",
"B114 113 \n",
"B115 46 \n",
"B120 2065 \n",
"B127 21 \n",
"B132 27 \n",
"B141 55 \n",
"B142 35 \n",
"B143 8 \n",
"B152 884 \n",
"B156 13 \n",
"B158 3 \n",
"B164 218 \n",
"\n",
"Taxonomy g__Alistipes;s__Alistipes indistinctus \\\n",
"A3 15 \n",
"A5 20 \n",
"A6 723 \n",
"A9 620 \n",
"A31 3261 \n",
"A51 43 \n",
"A52 83 \n",
"A53 37 \n",
"A54 43 \n",
"A59 1114 \n",
"A67 2531 \n",
"A68 207 \n",
"A69 59 \n",
"A71 50 \n",
"A73 55 \n",
"A76 1194 \n",
"A78 68 \n",
"A87 49 \n",
"A89 979 \n",
"A93 10 \n",
"A101 3159 \n",
"A109 61 \n",
"A113 2606 \n",
"A114 2821 \n",
"A115 21 \n",
"A142 2276 \n",
"A144 3 \n",
"A149 34 \n",
"A164 2681 \n",
"A165 2103 \n",
"B1 2452 \n",
"B2 3 \n",
"B3 819 \n",
"B5 2761 \n",
"B6 691 \n",
"B7 2768 \n",
"B8 25 \n",
"B13 1095 \n",
"B14 13 \n",
"B28 4 \n",
"B29 4 \n",
"B36 6 \n",
"B37 356 \n",
"B94 2380 \n",
"B99 23 \n",
"B103 3089 \n",
"B106 33 \n",
"B111 2052 \n",
"B114 2801 \n",
"B115 2 \n",
"B120 90 \n",
"B127 22 \n",
"B132 30 \n",
"B141 1027 \n",
"B142 2641 \n",
"B143 4 \n",
"B152 1587 \n",
"B156 2223 \n",
"B158 6 \n",
"B164 1473 \n",
"\n",
"Taxonomy g__Unclassified;s__Firmicutes bacterium CAG:176 \\\n",
"A3 100 \n",
"A5 29 \n",
"A6 11 \n",
"A9 1320 \n",
"A31 51 \n",
"A51 45 \n",
"A52 52 \n",
"A53 64 \n",
"A54 60 \n",
"A59 896 \n",
"A67 26 \n",
"A68 54 \n",
"A69 35 \n",
"A71 1953 \n",
"A73 23 \n",
"A76 54 \n",
"A78 50 \n",
"A87 70 \n",
"A89 55 \n",
"A93 36 \n",
"A101 1109 \n",
"A109 25 \n",
"A113 48 \n",
"A114 3034 \n",
"A115 67 \n",
"A142 1196 \n",
"A144 123 \n",
"A149 160 \n",
"A164 49 \n",
"A165 1158 \n",
"B1 185 \n",
"B2 41 \n",
"B3 24 \n",
"B5 1418 \n",
"B6 119 \n",
"B7 23 \n",
"B8 757 \n",
"B13 629 \n",
"B14 12 \n",
"B28 37 \n",
"B29 7 \n",
"B36 8 \n",
"B37 19 \n",
"B94 65 \n",
"B99 13 \n",
"B103 851 \n",
"B106 34 \n",
"B111 208 \n",
"B114 803 \n",
"B115 30 \n",
"B120 829 \n",
"B127 136 \n",
"B132 159 \n",
"B141 22 \n",
"B142 41 \n",
"B143 10 \n",
"B152 28 \n",
"B156 38 \n",
"B158 15 \n",
"B164 64 \n",
"\n",
"Taxonomy g__Clostridium;s__Clostridium sp. CAG:7 \\\n",
"A3 2119 \n",
"A5 1230 \n",
"A6 1322 \n",
"A9 2675 \n",
"A31 1470 \n",
"A51 2262 \n",
"A52 2984 \n",
"A53 2004 \n",
"A54 1904 \n",
"A59 1227 \n",
"A67 821 \n",
"A68 1420 \n",
"A69 167 \n",
"A71 1696 \n",
"A73 1389 \n",
"A76 1192 \n",
"A78 1772 \n",
"A87 1807 \n",
"A89 144 \n",
"A93 1291 \n",
"A101 1876 \n",
"A109 245 \n",
"A113 1945 \n",
"A114 2036 \n",
"A115 1489 \n",
"A142 1754 \n",
"A144 1556 \n",
"A149 2035 \n",
"A164 2370 \n",
"A165 2136 \n",
"B1 1358 \n",
"B2 1850 \n",
"B3 1504 \n",
"B5 1566 \n",
"B6 1831 \n",
"B7 643 \n",
"B8 2117 \n",
"B13 1581 \n",
"B14 1229 \n",
"B28 2649 \n",
"B29 1284 \n",
"B36 818 \n",
"B37 1451 \n",
"B94 1999 \n",
"B99 108 \n",
"B103 2361 \n",
"B106 2246 \n",
"B111 1839 \n",
"B114 1769 \n",
"B115 2045 \n",
"B120 2475 \n",
"B127 1649 \n",
"B132 2018 \n",
"B141 1999 \n",
"B142 2027 \n",
"B143 180 \n",
"B152 2134 \n",
"B156 1134 \n",
"B158 1487 \n",
"B164 1797 \n",
"\n",
"Taxonomy g__Unclassified;s__Firmicutes bacterium CAG:882 \\\n",
"A3 12 \n",
"A5 24 \n",
"A6 1 \n",
"A9 44 \n",
"A31 26 \n",
"A51 9 \n",
"A52 25 \n",
"A53 19 \n",
"A54 17 \n",
"A59 17 \n",
"A67 15 \n",
"A68 7 \n",
"A69 9 \n",
"A71 127 \n",
"A73 24 \n",
"A76 17 \n",
"A78 15 \n",
"A87 15 \n",
"A89 21 \n",
"A93 18 \n",
"A101 31 \n",
"A109 17 \n",
"A113 17 \n",
"A114 74 \n",
"A115 11 \n",
"A142 42 \n",
"A144 2940 \n",
"A149 20 \n",
"A164 35 \n",
"A165 82 \n",
"B1 30 \n",
"B2 13 \n",
"B3 381 \n",
"B5 1569 \n",
"B6 15 \n",
"B7 4 \n",
"B8 22 \n",
"B13 16 \n",
"B14 2 \n",
"B28 53 \n",
"B29 16 \n",
"B36 40 \n",
"B37 61 \n",
"B94 57 \n",
"B99 888 \n",
"B103 20 \n",
"B106 9 \n",
"B111 1718 \n",
"B114 1473 \n",
"B115 33 \n",
"B120 15 \n",
"B127 1711 \n",
"B132 1456 \n",
"B141 11 \n",
"B142 9 \n",
"B143 46 \n",
"B152 19 \n",
"B156 25 \n",
"B158 47 \n",
"B164 8 \n",
"\n",
"Taxonomy g__Lachnoclostridium;s__[Clostridium] asparagiforme \\\n",
"A3 453 \n",
"A5 691 \n",
"A6 2278 \n",
"A9 107 \n",
"A31 342 \n",
"A51 1304 \n",
"A52 1400 \n",
"A53 1207 \n",
"A54 2034 \n",
"A59 2051 \n",
"A67 20 \n",
"A68 105 \n",
"A69 752 \n",
"A71 527 \n",
"A73 478 \n",
"A76 423 \n",
"A78 260 \n",
"A87 2534 \n",
"A89 1611 \n",
"A93 2758 \n",
"A101 438 \n",
"A109 1595 \n",
"A113 2038 \n",
"A114 747 \n",
"A115 1336 \n",
"A142 646 \n",
"A144 909 \n",
"A149 227 \n",
"A164 402 \n",
"A165 539 \n",
"B1 145 \n",
"B2 2524 \n",
"B3 2208 \n",
"B5 453 \n",
"B6 236 \n",
"B7 2670 \n",
"B8 1656 \n",
"B13 2566 \n",
"B14 128 \n",
"B28 46 \n",
"B29 2564 \n",
"B36 1438 \n",
"B37 2142 \n",
"B94 323 \n",
"B99 563 \n",
"B103 776 \n",
"B106 437 \n",
"B111 475 \n",
"B114 1537 \n",
"B115 580 \n",
"B120 1555 \n",
"B127 554 \n",
"B132 389 \n",
"B141 548 \n",
"B142 1815 \n",
"B143 1508 \n",
"B152 1169 \n",
"B156 321 \n",
"B158 2169 \n",
"B164 159 \n",
"\n",
"Taxonomy g__Butyricicoccus;s__uncultured Butyricicoccus sp. ... \\\n",
"A3 1266 ... \n",
"A5 1682 ... \n",
"A6 43 ... \n",
"A9 1726 ... \n",
"A31 1804 ... \n",
"A51 1441 ... \n",
"A52 2691 ... \n",
"A53 1886 ... \n",
"A54 919 ... \n",
"A59 2215 ... \n",
"A67 1063 ... \n",
"A68 1765 ... \n",
"A69 146 ... \n",
"A71 2171 ... \n",
"A73 1679 ... \n",
"A76 948 ... \n",
"A78 632 ... \n",
"A87 1231 ... \n",
"A89 1110 ... \n",
"A93 1317 ... \n",
"A101 2153 ... \n",
"A109 82 ... \n",
"A113 1116 ... \n",
"A114 2065 ... \n",
"A115 1033 ... \n",
"A142 1169 ... \n",
"A144 1583 ... \n",
"A149 1016 ... \n",
"A164 1592 ... \n",
"A165 1051 ... \n",
"B1 1949 ... \n",
"B2 1858 ... \n",
"B3 2209 ... \n",
"B5 1979 ... \n",
"B6 2451 ... \n",
"B7 750 ... \n",
"B8 1563 ... \n",
"B13 2502 ... \n",
"B14 1262 ... \n",
"B28 1989 ... \n",
"B29 1146 ... \n",
"B36 2241 ... \n",
"B37 1341 ... \n",
"B94 1038 ... \n",
"B99 572 ... \n",
"B103 1756 ... \n",
"B106 727 ... \n",
"B111 653 ... \n",
"B114 2117 ... \n",
"B115 1132 ... \n",
"B120 1099 ... \n",
"B127 2072 ... \n",
"B132 1868 ... \n",
"B141 1853 ... \n",
"B142 2277 ... \n",
"B143 1069 ... \n",
"B152 1226 ... \n",
"B156 1601 ... \n",
"B158 839 ... \n",
"B164 1278 ... \n",
"\n",
"Taxonomy g__Unclassified;s__Enterococcus phage EFDG1 \\\n",
"A3 0 \n",
"A5 0 \n",
"A6 0 \n",
"A9 0 \n",
"A31 0 \n",
"A51 0 \n",
"A52 0 \n",
"A53 0 \n",
"A54 0 \n",
"A59 0 \n",
"A67 0 \n",
"A68 0 \n",
"A69 0 \n",
"A71 0 \n",
"A73 0 \n",
"A76 0 \n",
"A78 0 \n",
"A87 0 \n",
"A89 0 \n",
"A93 0 \n",
"A101 0 \n",
"A109 0 \n",
"A113 0 \n",
"A114 0 \n",
"A115 0 \n",
"A142 0 \n",
"A144 0 \n",
"A149 0 \n",
"A164 0 \n",
"A165 0 \n",
"B1 0 \n",
"B2 0 \n",
"B3 0 \n",
"B5 0 \n",
"B6 0 \n",
"B7 0 \n",
"B8 0 \n",
"B13 0 \n",
"B14 0 \n",
"B28 0 \n",
"B29 0 \n",
"B36 0 \n",
"B37 0 \n",
"B94 0 \n",
"B99 0 \n",
"B103 0 \n",
"B106 0 \n",
"B111 0 \n",
"B114 0 \n",
"B115 0 \n",
"B120 0 \n",
"B127 0 \n",
"B132 0 \n",
"B141 0 \n",
"B142 0 \n",
"B143 0 \n",
"B152 0 \n",
"B156 0 \n",
"B158 0 \n",
"B164 0 \n",
"\n",
"Taxonomy g__Unclassified;s__Podovirus Lau218 \\\n",
"A3 0 \n",
"A5 0 \n",
"A6 0 \n",
"A9 0 \n",
"A31 0 \n",
"A51 0 \n",
"A52 0 \n",
"A53 0 \n",
"A54 0 \n",
"A59 0 \n",
"A67 0 \n",
"A68 0 \n",
"A69 0 \n",
"A71 0 \n",
"A73 0 \n",
"A76 0 \n",
"A78 0 \n",
"A87 0 \n",
"A89 0 \n",
"A93 0 \n",
"A101 0 \n",
"A109 0 \n",
"A113 0 \n",
"A114 0 \n",
"A115 0 \n",
"A142 0 \n",
"A144 0 \n",
"A149 0 \n",
"A164 0 \n",
"A165 0 \n",
"B1 0 \n",
"B2 0 \n",
"B3 0 \n",
"B5 0 \n",
"B6 0 \n",
"B7 0 \n",
"B8 0 \n",
"B13 0 \n",
"B14 0 \n",
"B28 0 \n",
"B29 0 \n",
"B36 0 \n",
"B37 0 \n",
"B94 0 \n",
"B99 0 \n",
"B103 0 \n",
"B106 0 \n",
"B111 0 \n",
"B114 0 \n",
"B115 0 \n",
"B120 0 \n",
"B127 0 \n",
"B132 0 \n",
"B141 0 \n",
"B142 0 \n",
"B143 0 \n",
"B152 0 \n",
"B156 0 \n",
"B158 0 \n",
"B164 0 \n",
"\n",
"Taxonomy g__Sap6virus;s__Enterococcus phage VD13 \\\n",
"A3 0 \n",
"A5 0 \n",
"A6 0 \n",
"A9 0 \n",
"A31 0 \n",
"A51 0 \n",
"A52 0 \n",
"A53 0 \n",
"A54 0 \n",
"A59 0 \n",
"A67 0 \n",
"A68 0 \n",
"A69 0 \n",
"A71 0 \n",
"A73 0 \n",
"A76 0 \n",
"A78 0 \n",
"A87 0 \n",
"A89 0 \n",
"A93 0 \n",
"A101 0 \n",
"A109 0 \n",
"A113 0 \n",
"A114 0 \n",
"A115 0 \n",
"A142 0 \n",
"A144 0 \n",
"A149 0 \n",
"A164 0 \n",
"A165 0 \n",
"B1 0 \n",
"B2 0 \n",
"B3 0 \n",
"B5 0 \n",
"B6 0 \n",
"B7 0 \n",
"B8 0 \n",
"B13 0 \n",
"B14 0 \n",
"B28 0 \n",
"B29 0 \n",
"B36 0 \n",
"B37 0 \n",
"B94 0 \n",
"B99 0 \n",
"B103 0 \n",
"B106 0 \n",
"B111 0 \n",
"B114 0 \n",
"B115 0 \n",
"B120 0 \n",
"B127 0 \n",
"B132 0 \n",
"B141 0 \n",
"B142 0 \n",
"B143 0 \n",
"B152 0 \n",
"B156 0 \n",
"B158 0 \n",
"B164 0 \n",
"\n",
"Taxonomy g__Unclassified;s__Bacillus phage vB_BanS-Tsamsa \\\n",
"A3 0 \n",
"A5 0 \n",
"A6 0 \n",
"A9 0 \n",
"A31 0 \n",
"A51 0 \n",
"A52 0 \n",
"A53 0 \n",
"A54 0 \n",
"A59 0 \n",
"A67 0 \n",
"A68 0 \n",
"A69 0 \n",
"A71 0 \n",
"A73 0 \n",
"A76 0 \n",
"A78 0 \n",
"A87 0 \n",
"A89 0 \n",
"A93 0 \n",
"A101 0 \n",
"A109 0 \n",
"A113 0 \n",
"A114 0 \n",
"A115 0 \n",
"A142 0 \n",
"A144 0 \n",
"A149 0 \n",
"A164 0 \n",
"A165 0 \n",
"B1 0 \n",
"B2 0 \n",
"B3 0 \n",
"B5 0 \n",
"B6 0 \n",
"B7 0 \n",
"B8 0 \n",
"B13 0 \n",
"B14 0 \n",
"B28 0 \n",
"B29 0 \n",
"B36 0 \n",
"B37 0 \n",
"B94 0 \n",
"B99 0 \n",
"B103 0 \n",
"B106 0 \n",
"B111 0 \n",
"B114 0 \n",
"B115 0 \n",
"B120 0 \n",
"B127 0 \n",
"B132 0 \n",
"B141 0 \n",
"B142 0 \n",
"B143 0 \n",
"B152 0 \n",
"B156 0 \n",
"B158 0 \n",
"B164 0 \n",
"\n",
"Taxonomy g__Unclassified;s__Gordonia phage GTE2 \\\n",
"A3 0 \n",
"A5 0 \n",
"A6 0 \n",
"A9 0 \n",
"A31 0 \n",
"A51 0 \n",
"A52 0 \n",
"A53 0 \n",
"A54 0 \n",
"A59 0 \n",
"A67 0 \n",
"A68 0 \n",
"A69 0 \n",
"A71 0 \n",
"A73 0 \n",
"A76 0 \n",
"A78 0 \n",
"A87 0 \n",
"A89 0 \n",
"A93 0 \n",
"A101 0 \n",
"A109 0 \n",
"A113 0 \n",
"A114 0 \n",
"A115 0 \n",
"A142 0 \n",
"A144 0 \n",
"A149 0 \n",
"A164 0 \n",
"A165 0 \n",
"B1 0 \n",
"B2 0 \n",
"B3 0 \n",
"B5 0 \n",
"B6 0 \n",
"B7 0 \n",
"B8 0 \n",
"B13 0 \n",
"B14 0 \n",
"B28 0 \n",
"B29 0 \n",
"B36 0 \n",
"B37 0 \n",
"B94 0 \n",
"B99 0 \n",
"B103 0 \n",
"B106 0 \n",
"B111 0 \n",
"B114 0 \n",
"B115 0 \n",
"B120 0 \n",
"B127 0 \n",
"B132 0 \n",
"B141 0 \n",
"B142 0 \n",
"B143 0 \n",
"B152 0 \n",
"B156 0 \n",
"B158 0 \n",
"B164 0 \n",
"\n",
"Taxonomy g__Alphabaculovirus;s__Hyphantria cunea nucleopolyhedrovirus \\\n",
"A3 0 \n",
"A5 0 \n",
"A6 0 \n",
"A9 0 \n",
"A31 0 \n",
"A51 0 \n",
"A52 0 \n",
"A53 0 \n",
"A54 0 \n",
"A59 0 \n",
"A67 0 \n",
"A68 0 \n",
"A69 0 \n",
"A71 0 \n",
"A73 0 \n",
"A76 0 \n",
"A78 0 \n",
"A87 0 \n",
"A89 0 \n",
"A93 0 \n",
"A101 0 \n",
"A109 0 \n",
"A113 0 \n",
"A114 0 \n",
"A115 0 \n",
"A142 0 \n",
"A144 0 \n",
"A149 0 \n",
"A164 0 \n",
"A165 0 \n",
"B1 0 \n",
"B2 0 \n",
"B3 0 \n",
"B5 0 \n",
"B6 0 \n",
"B7 0 \n",
"B8 0 \n",
"B13 0 \n",
"B14 0 \n",
"B28 0 \n",
"B29 0 \n",
"B36 0 \n",
"B37 0 \n",
"B94 0 \n",
"B99 0 \n",
"B103 0 \n",
"B106 0 \n",
"B111 0 \n",
"B114 0 \n",
"B115 0 \n",
"B120 0 \n",
"B127 0 \n",
"B132 0 \n",
"B141 0 \n",
"B142 0 \n",
"B143 0 \n",
"B152 0 \n",
"B156 0 \n",
"B158 0 \n",
"B164 0 \n",
"\n",
"Taxonomy g__Potyvirus;s__Bean common mosaic virus \\\n",
"A3 0 \n",
"A5 0 \n",
"A6 0 \n",
"A9 0 \n",
"A31 0 \n",
"A51 0 \n",
"A52 0 \n",
"A53 0 \n",
"A54 0 \n",
"A59 0 \n",
"A67 0 \n",
"A68 0 \n",
"A69 0 \n",
"A71 0 \n",
"A73 0 \n",
"A76 0 \n",
"A78 0 \n",
"A87 0 \n",
"A89 0 \n",
"A93 0 \n",
"A101 0 \n",
"A109 0 \n",
"A113 0 \n",
"A114 0 \n",
"A115 0 \n",
"A142 0 \n",
"A144 0 \n",
"A149 0 \n",
"A164 0 \n",
"A165 0 \n",
"B1 0 \n",
"B2 0 \n",
"B3 0 \n",
"B5 0 \n",
"B6 0 \n",
"B7 0 \n",
"B8 0 \n",
"B13 0 \n",
"B14 0 \n",
"B28 0 \n",
"B29 0 \n",
"B36 0 \n",
"B37 0 \n",
"B94 0 \n",
"B99 0 \n",
"B103 0 \n",
"B106 0 \n",
"B111 0 \n",
"B114 0 \n",
"B115 0 \n",
"B120 0 \n",
"B127 0 \n",
"B132 0 \n",
"B141 0 \n",
"B142 0 \n",
"B143 0 \n",
"B152 0 \n",
"B156 0 \n",
"B158 0 \n",
"B164 0 \n",
"\n",
"Taxonomy g__Potyvirus;s__Telosma mosaic virus \\\n",
"A3 0 \n",
"A5 0 \n",
"A6 0 \n",
"A9 0 \n",
"A31 0 \n",
"A51 0 \n",
"A52 0 \n",
"A53 0 \n",
"A54 0 \n",
"A59 0 \n",
"A67 0 \n",
"A68 0 \n",
"A69 0 \n",
"A71 0 \n",
"A73 0 \n",
"A76 0 \n",
"A78 0 \n",
"A87 0 \n",
"A89 0 \n",
"A93 0 \n",
"A101 0 \n",
"A109 0 \n",
"A113 0 \n",
"A114 0 \n",
"A115 0 \n",
"A142 0 \n",
"A144 0 \n",
"A149 0 \n",
"A164 0 \n",
"A165 0 \n",
"B1 0 \n",
"B2 0 \n",
"B3 0 \n",
"B5 0 \n",
"B6 0 \n",
"B7 0 \n",
"B8 0 \n",
"B13 0 \n",
"B14 0 \n",
"B28 0 \n",
"B29 0 \n",
"B36 0 \n",
"B37 0 \n",
"B94 0 \n",
"B99 0 \n",
"B103 0 \n",
"B106 0 \n",
"B111 0 \n",
"B114 0 \n",
"B115 0 \n",
"B120 0 \n",
"B127 0 \n",
"B132 0 \n",
"B141 0 \n",
"B142 0 \n",
"B143 0 \n",
"B152 0 \n",
"B156 0 \n",
"B158 0 \n",
"B164 0 \n",
"\n",
"Taxonomy g__Unclassified;s__Freshwater phage uvFW-CGR-AMD-COM-C203 group \n",
"A3 0 A \n",
"A5 0 A \n",
"A6 0 A \n",
"A9 0 A \n",
"A31 0 A \n",
"A51 0 A \n",
"A52 0 A \n",
"A53 0 A \n",
"A54 0 A \n",
"A59 0 A \n",
"A67 0 A \n",
"A68 0 A \n",
"A69 0 A \n",
"A71 0 A \n",
"A73 0 A \n",
"A76 0 A \n",
"A78 0 A \n",
"A87 0 A \n",
"A89 0 A \n",
"A93 0 A \n",
"A101 0 A \n",
"A109 0 A \n",
"A113 0 A \n",
"A114 0 A \n",
"A115 0 A \n",
"A142 0 A \n",
"A144 0 A \n",
"A149 0 A \n",
"A164 0 A \n",
"A165 0 A \n",
"B1 0 B \n",
"B2 0 B \n",
"B3 0 B \n",
"B5 0 B \n",
"B6 0 B \n",
"B7 0 B \n",
"B8 0 B \n",
"B13 0 B \n",
"B14 0 B \n",
"B28 0 B \n",
"B29 0 B \n",
"B36 0 B \n",
"B37 0 B \n",
"B94 0 B \n",
"B99 0 B \n",
"B103 0 B \n",
"B106 0 B \n",
"B111 0 B \n",
"B114 0 B \n",
"B115 0 B \n",
"B120 0 B \n",
"B127 0 B \n",
"B132 0 B \n",
"B141 0 B \n",
"B142 0 B \n",
"B143 0 B \n",
"B152 0 B \n",
"B156 0 B \n",
"B158 0 B \n",
"B164 0 B \n",
"\n",
"[60 rows x 5620 columns]"
],
"text/html": [
"\n",
" <div id=\"df-d63a764d-97d6-4dd5-8b57-731b87a845f0\" class=\"colab-df-container\">\n",
" <div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th>Taxonomy</th>\n",
" <th>g__Faecalibacterium;s__Faecalibacterium prausnitzii</th>\n",
" <th>g__Hungatella;s__Hungatella hathewayi</th>\n",
" <th>g__Clostridium;s__uncultured Clostridium sp.</th>\n",
" <th>g__Butyricimonas;s__Butyricimonas virosa</th>\n",
" <th>g__Alistipes;s__Alistipes indistinctus</th>\n",
" <th>g__Unclassified;s__Firmicutes bacterium CAG:176</th>\n",
" <th>g__Clostridium;s__Clostridium sp. CAG:7</th>\n",
" <th>g__Unclassified;s__Firmicutes bacterium CAG:882</th>\n",
" <th>g__Lachnoclostridium;s__[Clostridium] asparagiforme</th>\n",
" <th>g__Butyricicoccus;s__uncultured Butyricicoccus sp.</th>\n",
" <th>...</th>\n",
" <th>g__Unclassified;s__Enterococcus phage EFDG1</th>\n",
" <th>g__Unclassified;s__Podovirus Lau218</th>\n",
" <th>g__Sap6virus;s__Enterococcus phage VD13</th>\n",
" <th>g__Unclassified;s__Bacillus phage vB_BanS-Tsamsa</th>\n",
" <th>g__Unclassified;s__Gordonia phage GTE2</th>\n",
" <th>g__Alphabaculovirus;s__Hyphantria cunea nucleopolyhedrovirus</th>\n",
" <th>g__Potyvirus;s__Bean common mosaic virus</th>\n",
" <th>g__Potyvirus;s__Telosma mosaic virus</th>\n",
" <th>g__Unclassified;s__Freshwater phage uvFW-CGR-AMD-COM-C203</th>\n",
" <th>group</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>A3</th>\n",
" <td>4988</td>\n",
" <td>5803</td>\n",
" <td>3793</td>\n",
" <td>64</td>\n",
" <td>15</td>\n",
" <td>100</td>\n",
" <td>2119</td>\n",
" <td>12</td>\n",
" <td>453</td>\n",
" <td>1266</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>A</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A5</th>\n",
" <td>5060</td>\n",
" <td>5612</td>\n",
" <td>2795</td>\n",
" <td>1385</td>\n",
" <td>20</td>\n",
" <td>29</td>\n",
" <td>1230</td>\n",
" <td>24</td>\n",
" <td>691</td>\n",
" <td>1682</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>A</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A6</th>\n",
" <td>2905</td>\n",
" <td>4109</td>\n",
" <td>1355</td>\n",
" <td>725</td>\n",
" <td>723</td>\n",
" <td>11</td>\n",
" <td>1322</td>\n",
" <td>1</td>\n",
" <td>2278</td>\n",
" <td>43</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>A</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A9</th>\n",
" <td>5745</td>\n",
" <td>1432</td>\n",
" <td>5558</td>\n",
" <td>1553</td>\n",
" <td>620</td>\n",
" <td>1320</td>\n",
" <td>2675</td>\n",
" <td>44</td>\n",
" <td>107</td>\n",
" <td>1726</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>A</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A31</th>\n",
" <td>4822</td>\n",
" <td>2652</td>\n",
" <td>5383</td>\n",
" <td>40</td>\n",
" <td>3261</td>\n",
" <td>51</td>\n",
" <td>1470</td>\n",
" <td>26</td>\n",
" <td>342</td>\n",
" <td>1804</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>A</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A51</th>\n",
" <td>3889</td>\n",
" <td>4175</td>\n",
" <td>3505</td>\n",
" <td>53</td>\n",
" <td>43</td>\n",
" <td>45</td>\n",
" <td>2262</td>\n",
" <td>9</td>\n",
" <td>1304</td>\n",
" <td>1441</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>A</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A52</th>\n",
" <td>4646</td>\n",
" <td>3891</td>\n",
" <td>5541</td>\n",
" <td>33</td>\n",
" <td>83</td>\n",
" <td>52</td>\n",
" <td>2984</td>\n",
" <td>25</td>\n",
" <td>1400</td>\n",
" <td>2691</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>A</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A53</th>\n",
" <td>6337</td>\n",
" <td>894</td>\n",
" <td>4429</td>\n",
" <td>175</td>\n",
" <td>37</td>\n",
" <td>64</td>\n",
" <td>2004</td>\n",
" <td>19</td>\n",
" <td>1207</td>\n",
" <td>1886</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>A</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A54</th>\n",
" <td>5064</td>\n",
" <td>4903</td>\n",
" <td>4121</td>\n",
" <td>58</td>\n",
" <td>43</td>\n",
" <td>60</td>\n",
" <td>1904</td>\n",
" <td>17</td>\n",
" <td>2034</td>\n",
" <td>919</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>A</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A59</th>\n",
" <td>6359</td>\n",
" <td>2970</td>\n",
" <td>3258</td>\n",
" <td>1636</td>\n",
" <td>1114</td>\n",
" <td>896</td>\n",
" <td>1227</td>\n",
" <td>17</td>\n",
" <td>2051</td>\n",
" <td>2215</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>A</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A67</th>\n",
" <td>3194</td>\n",
" <td>4029</td>\n",
" <td>1901</td>\n",
" <td>1170</td>\n",
" <td>2531</td>\n",
" <td>26</td>\n",
" <td>821</td>\n",
" <td>15</td>\n",
" <td>20</td>\n",
" <td>1063</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>A</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A68</th>\n",
" <td>4486</td>\n",
" <td>1266</td>\n",
" <td>2940</td>\n",
" <td>80</td>\n",
" <td>207</td>\n",
" <td>54</td>\n",
" <td>1420</td>\n",
" <td>7</td>\n",
" <td>105</td>\n",
" <td>1765</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>A</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A69</th>\n",
" <td>3807</td>\n",
" <td>4822</td>\n",
" <td>3820</td>\n",
" <td>59</td>\n",
" <td>59</td>\n",
" <td>35</td>\n",
" <td>167</td>\n",
" <td>9</td>\n",
" <td>752</td>\n",
" <td>146</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>A</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A71</th>\n",
" <td>6208</td>\n",
" <td>1635</td>\n",
" <td>5118</td>\n",
" <td>77</td>\n",
" <td>50</td>\n",
" <td>1953</td>\n",
" <td>1696</td>\n",
" <td>127</td>\n",
" <td>527</td>\n",
" <td>2171</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>A</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A73</th>\n",
" <td>3008</td>\n",
" <td>4761</td>\n",
" <td>1582</td>\n",
" <td>1364</td>\n",
" <td>55</td>\n",
" <td>23</td>\n",
" <td>1389</td>\n",
" <td>24</td>\n",
" <td>478</td>\n",
" <td>1679</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>A</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A76</th>\n",
" <td>5628</td>\n",
" <td>1366</td>\n",
" <td>4168</td>\n",
" <td>67</td>\n",
" <td>1194</td>\n",
" <td>54</td>\n",
" <td>1192</td>\n",
" <td>17</td>\n",
" <td>423</td>\n",
" <td>948</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>A</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A78</th>\n",
" <td>5732</td>\n",
" <td>1867</td>\n",
" <td>3831</td>\n",
" <td>63</td>\n",
" <td>68</td>\n",
" <td>50</td>\n",
" <td>1772</td>\n",
" <td>15</td>\n",
" <td>260</td>\n",
" <td>632</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>A</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A87</th>\n",
" <td>5240</td>\n",
" <td>2065</td>\n",
" <td>3464</td>\n",
" <td>7</td>\n",
" <td>49</td>\n",
" <td>70</td>\n",
" <td>1807</td>\n",
" <td>15</td>\n",
" <td>2534</td>\n",
" <td>1231</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>A</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A89</th>\n",
" <td>3616</td>\n",
" <td>4777</td>\n",
" <td>2942</td>\n",
" <td>999</td>\n",
" <td>979</td>\n",
" <td>55</td>\n",
" <td>144</td>\n",
" <td>21</td>\n",
" <td>1611</td>\n",
" <td>1110</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>A</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A93</th>\n",
" <td>3355</td>\n",
" <td>5954</td>\n",
" <td>3291</td>\n",
" <td>39</td>\n",
" <td>10</td>\n",
" <td>36</td>\n",
" <td>1291</td>\n",
" <td>18</td>\n",
" <td>2758</td>\n",
" <td>1317</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>A</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A101</th>\n",
" <td>3833</td>\n",
" <td>6849</td>\n",
" <td>4586</td>\n",
" <td>3285</td>\n",
" <td>3159</td>\n",
" <td>1109</td>\n",
" <td>1876</td>\n",
" <td>31</td>\n",
" <td>438</td>\n",
" <td>2153</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>A</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A109</th>\n",
" <td>3771</td>\n",
" <td>4390</td>\n",
" <td>1014</td>\n",
" <td>30</td>\n",
" <td>61</td>\n",
" <td>25</td>\n",
" <td>245</td>\n",
" <td>17</td>\n",
" <td>1595</td>\n",
" <td>82</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>A</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A113</th>\n",
" <td>5489</td>\n",
" <td>2091</td>\n",
" <td>4100</td>\n",
" <td>54</td>\n",
" <td>2606</td>\n",
" <td>48</td>\n",
" <td>1945</td>\n",
" <td>17</td>\n",
" <td>2038</td>\n",
" <td>1116</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>A</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A114</th>\n",
" <td>6762</td>\n",
" <td>1638</td>\n",
" <td>4336</td>\n",
" <td>1168</td>\n",
" <td>2821</td>\n",
" <td>3034</td>\n",
" <td>2036</td>\n",
" <td>74</td>\n",
" <td>747</td>\n",
" <td>2065</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>A</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A115</th>\n",
" <td>3045</td>\n",
" <td>4613</td>\n",
" <td>2301</td>\n",
" <td>50</td>\n",
" <td>21</td>\n",
" <td>67</td>\n",
" <td>1489</td>\n",
" <td>11</td>\n",
" <td>1336</td>\n",
" <td>1033</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>A</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A142</th>\n",
" <td>6205</td>\n",
" <td>2601</td>\n",
" <td>6372</td>\n",
" <td>38</td>\n",
" <td>2276</td>\n",
" <td>1196</td>\n",
" <td>1754</td>\n",
" <td>42</td>\n",
" <td>646</td>\n",
" <td>1169</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>A</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A144</th>\n",
" <td>6048</td>\n",
" <td>1892</td>\n",
" <td>4020</td>\n",
" <td>49</td>\n",
" <td>3</td>\n",
" <td>123</td>\n",
" <td>1556</td>\n",
" <td>2940</td>\n",
" <td>909</td>\n",
" <td>1583</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>A</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A149</th>\n",
" <td>5418</td>\n",
" <td>3267</td>\n",
" <td>3511</td>\n",
" <td>27</td>\n",
" <td>34</td>\n",
" <td>160</td>\n",
" <td>2035</td>\n",
" <td>20</td>\n",
" <td>227</td>\n",
" <td>1016</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>A</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A164</th>\n",
" <td>5120</td>\n",
" <td>2294</td>\n",
" <td>4328</td>\n",
" <td>1685</td>\n",
" <td>2681</td>\n",
" <td>49</td>\n",
" <td>2370</td>\n",
" <td>35</td>\n",
" <td>402</td>\n",
" <td>1592</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>A</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A165</th>\n",
" <td>8504</td>\n",
" <td>2978</td>\n",
" <td>3906</td>\n",
" <td>838</td>\n",
" <td>2103</td>\n",
" <td>1158</td>\n",
" <td>2136</td>\n",
" <td>82</td>\n",
" <td>539</td>\n",
" <td>1051</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>A</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B1</th>\n",
" <td>4269</td>\n",
" <td>1217</td>\n",
" <td>3853</td>\n",
" <td>1624</td>\n",
" <td>2452</td>\n",
" <td>185</td>\n",
" <td>1358</td>\n",
" <td>30</td>\n",
" <td>145</td>\n",
" <td>1949</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>B</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B2</th>\n",
" <td>4397</td>\n",
" <td>6238</td>\n",
" <td>4624</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>41</td>\n",
" <td>1850</td>\n",
" <td>13</td>\n",
" <td>2524</td>\n",
" <td>1858</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>B</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B3</th>\n",
" <td>4499</td>\n",
" <td>2325</td>\n",
" <td>3842</td>\n",
" <td>703</td>\n",
" <td>819</td>\n",
" <td>24</td>\n",
" <td>1504</td>\n",
" <td>381</td>\n",
" <td>2208</td>\n",
" <td>2209</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>B</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B5</th>\n",
" <td>6126</td>\n",
" <td>5004</td>\n",
" <td>4399</td>\n",
" <td>43</td>\n",
" <td>2761</td>\n",
" <td>1418</td>\n",
" <td>1566</td>\n",
" <td>1569</td>\n",
" <td>453</td>\n",
" <td>1979</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>B</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B6</th>\n",
" <td>7020</td>\n",
" <td>2829</td>\n",
" <td>3916</td>\n",
" <td>46</td>\n",
" <td>691</td>\n",
" <td>119</td>\n",
" <td>1831</td>\n",
" <td>15</td>\n",
" <td>236</td>\n",
" <td>2451</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>B</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B7</th>\n",
" <td>5404</td>\n",
" <td>2192</td>\n",
" <td>3355</td>\n",
" <td>1505</td>\n",
" <td>2768</td>\n",
" <td>23</td>\n",
" <td>643</td>\n",
" <td>4</td>\n",
" <td>2670</td>\n",
" <td>750</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>B</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B8</th>\n",
" <td>4404</td>\n",
" <td>2921</td>\n",
" <td>5165</td>\n",
" <td>32</td>\n",
" <td>25</td>\n",
" <td>757</td>\n",
" <td>2117</td>\n",
" <td>22</td>\n",
" <td>1656</td>\n",
" <td>1563</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>B</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B13</th>\n",
" <td>5811</td>\n",
" <td>4303</td>\n",
" <td>4453</td>\n",
" <td>1474</td>\n",
" <td>1095</td>\n",
" <td>629</td>\n",
" <td>1581</td>\n",
" <td>16</td>\n",
" <td>2566</td>\n",
" <td>2502</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>B</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B14</th>\n",
" <td>3360</td>\n",
" <td>2793</td>\n",
" <td>1999</td>\n",
" <td>2</td>\n",
" <td>13</td>\n",
" <td>12</td>\n",
" <td>1229</td>\n",
" <td>2</td>\n",
" <td>128</td>\n",
" <td>1262</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>B</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B28</th>\n",
" <td>4141</td>\n",
" <td>3671</td>\n",
" <td>3974</td>\n",
" <td>52</td>\n",
" <td>4</td>\n",
" <td>37</td>\n",
" <td>2649</td>\n",
" <td>53</td>\n",
" <td>46</td>\n",
" <td>1989</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>B</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B29</th>\n",
" <td>2880</td>\n",
" <td>5350</td>\n",
" <td>1185</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" <td>7</td>\n",
" <td>1284</td>\n",
" <td>16</td>\n",
" <td>2564</td>\n",
" <td>1146</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>B</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B36</th>\n",
" <td>3805</td>\n",
" <td>4566</td>\n",
" <td>3895</td>\n",
" <td>5</td>\n",
" <td>6</td>\n",
" <td>8</td>\n",
" <td>818</td>\n",
" <td>40</td>\n",
" <td>1438</td>\n",
" <td>2241</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>B</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B37</th>\n",
" <td>4168</td>\n",
" <td>3984</td>\n",
" <td>2710</td>\n",
" <td>43</td>\n",
" <td>356</td>\n",
" <td>19</td>\n",
" <td>1451</td>\n",
" <td>61</td>\n",
" <td>2142</td>\n",
" <td>1341</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>B</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B94</th>\n",
" <td>4543</td>\n",
" <td>5597</td>\n",
" <td>3425</td>\n",
" <td>1449</td>\n",
" <td>2380</td>\n",
" <td>65</td>\n",
" <td>1999</td>\n",
" <td>57</td>\n",
" <td>323</td>\n",
" <td>1038</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>B</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B99</th>\n",
" <td>2804</td>\n",
" <td>5191</td>\n",
" <td>1559</td>\n",
" <td>5</td>\n",
" <td>23</td>\n",
" <td>13</td>\n",
" <td>108</td>\n",
" <td>888</td>\n",
" <td>563</td>\n",
" <td>572</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>B</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B103</th>\n",
" <td>5728</td>\n",
" <td>2204</td>\n",
" <td>4902</td>\n",
" <td>36</td>\n",
" <td>3089</td>\n",
" <td>851</td>\n",
" <td>2361</td>\n",
" <td>20</td>\n",
" <td>776</td>\n",
" <td>1756</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>B</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B106</th>\n",
" <td>3827</td>\n",
" <td>5523</td>\n",
" <td>3016</td>\n",
" <td>34</td>\n",
" <td>33</td>\n",
" <td>34</td>\n",
" <td>2246</td>\n",
" <td>9</td>\n",
" <td>437</td>\n",
" <td>727</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>B</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B111</th>\n",
" <td>6030</td>\n",
" <td>1556</td>\n",
" <td>6066</td>\n",
" <td>37</td>\n",
" <td>2052</td>\n",
" <td>208</td>\n",
" <td>1839</td>\n",
" <td>1718</td>\n",
" <td>475</td>\n",
" <td>653</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>B</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B114</th>\n",
" <td>4950</td>\n",
" <td>4983</td>\n",
" <td>5082</td>\n",
" <td>113</td>\n",
" <td>2801</td>\n",
" <td>803</td>\n",
" <td>1769</td>\n",
" <td>1473</td>\n",
" <td>1537</td>\n",
" <td>2117</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>B</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B115</th>\n",
" <td>4749</td>\n",
" <td>5993</td>\n",
" <td>3764</td>\n",
" <td>46</td>\n",
" <td>2</td>\n",
" <td>30</td>\n",
" <td>2045</td>\n",
" <td>33</td>\n",
" <td>580</td>\n",
" <td>1132</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>B</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B120</th>\n",
" <td>4471</td>\n",
" <td>2126</td>\n",
" <td>4085</td>\n",
" <td>2065</td>\n",
" <td>90</td>\n",
" <td>829</td>\n",
" <td>2475</td>\n",
" <td>15</td>\n",
" <td>1555</td>\n",
" <td>1099</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>B</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B127</th>\n",
" <td>5868</td>\n",
" <td>4429</td>\n",
" <td>6041</td>\n",
" <td>21</td>\n",
" <td>22</td>\n",
" <td>136</td>\n",
" <td>1649</td>\n",
" <td>1711</td>\n",
" <td>554</td>\n",
" <td>2072</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>B</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B132</th>\n",
" <td>6561</td>\n",
" <td>2598</td>\n",
" <td>6188</td>\n",
" <td>27</td>\n",
" <td>30</td>\n",
" <td>159</td>\n",
" <td>2018</td>\n",
" <td>1456</td>\n",
" <td>389</td>\n",
" <td>1868</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>B</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B141</th>\n",
" <td>4910</td>\n",
" <td>4222</td>\n",
" <td>3960</td>\n",
" <td>55</td>\n",
" <td>1027</td>\n",
" <td>22</td>\n",
" <td>1999</td>\n",
" <td>11</td>\n",
" <td>548</td>\n",
" <td>1853</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>B</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B142</th>\n",
" <td>4492</td>\n",
" <td>4925</td>\n",
" <td>4403</td>\n",
" <td>35</td>\n",
" <td>2641</td>\n",
" <td>41</td>\n",
" <td>2027</td>\n",
" <td>9</td>\n",
" <td>1815</td>\n",
" <td>2277</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>B</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B143</th>\n",
" <td>2812</td>\n",
" <td>5753</td>\n",
" <td>2841</td>\n",
" <td>8</td>\n",
" <td>4</td>\n",
" <td>10</td>\n",
" <td>180</td>\n",
" <td>46</td>\n",
" <td>1508</td>\n",
" <td>1069</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>B</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B152</th>\n",
" <td>5303</td>\n",
" <td>1261</td>\n",
" <td>2746</td>\n",
" <td>884</td>\n",
" <td>1587</td>\n",
" <td>28</td>\n",
" <td>2134</td>\n",
" <td>19</td>\n",
" <td>1169</td>\n",
" <td>1226</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>B</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B156</th>\n",
" <td>4205</td>\n",
" <td>1822</td>\n",
" <td>3808</td>\n",
" <td>13</td>\n",
" <td>2223</td>\n",
" <td>38</td>\n",
" <td>1134</td>\n",
" <td>25</td>\n",
" <td>321</td>\n",
" <td>1601</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>B</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B158</th>\n",
" <td>3430</td>\n",
" <td>2478</td>\n",
" <td>3856</td>\n",
" <td>3</td>\n",
" <td>6</td>\n",
" <td>15</td>\n",
" <td>1487</td>\n",
" <td>47</td>\n",
" <td>2169</td>\n",
" <td>839</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>B</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B164</th>\n",
" <td>4563</td>\n",
" <td>4868</td>\n",
" <td>3211</td>\n",
" <td>218</td>\n",
" <td>1473</td>\n",
" <td>64</td>\n",
" <td>1797</td>\n",
" <td>8</td>\n",
" <td>159</td>\n",
" <td>1278</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>B</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>60 rows × 5620 columns</p>\n",
"</div>\n",
" <div class=\"colab-df-buttons\">\n",
"\n",
" <div class=\"colab-df-container\">\n",
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d63a764d-97d6-4dd5-8b57-731b87a845f0')\"\n",
" title=\"Convert this dataframe to an interactive table.\"\n",
" style=\"display:none;\">\n",
"\n",
" <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
" <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
" </svg>\n",
" </button>\n",
"\n",
" <style>\n",
" .colab-df-container {\n",
" display:flex;\n",
" gap: 12px;\n",
" }\n",
"\n",
" .colab-df-convert {\n",
" background-color: #E8F0FE;\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: #1967D2;\n",
" height: 32px;\n",
" padding: 0 0 0 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-convert:hover {\n",
" background-color: #E2EBFA;\n",
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: #174EA6;\n",
" }\n",
"\n",
" .colab-df-buttons div {\n",
" margin-bottom: 4px;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert {\n",
" background-color: #3B4455;\n",
" fill: #D2E3FC;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert:hover {\n",
" background-color: #434B5C;\n",
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
" fill: #FFFFFF;\n",
" }\n",
" </style>\n",
"\n",
" <script>\n",
" const buttonEl =\n",
" document.querySelector('#df-d63a764d-97d6-4dd5-8b57-731b87a845f0 button.colab-df-convert');\n",
" buttonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"\n",
" async function convertToInteractive(key) {\n",
" const element = document.querySelector('#df-d63a764d-97d6-4dd5-8b57-731b87a845f0');\n",
" const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
" if (!dataTable) return;\n",
"\n",
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
" + ' to learn more about interactive tables.';\n",
" element.innerHTML = '';\n",
" dataTable['output_type'] = 'display_data';\n",
" await google.colab.output.renderOutput(dataTable, element);\n",
" const docLink = document.createElement('div');\n",
" docLink.innerHTML = docLinkHtml;\n",
" element.appendChild(docLink);\n",
" }\n",
" </script>\n",
" </div>\n",
"\n",
"\n",
"<div id=\"df-164db175-01a0-40dc-a73e-054a776c2585\">\n",
" <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-164db175-01a0-40dc-a73e-054a776c2585')\"\n",
" title=\"Suggest charts\"\n",
" style=\"display:none;\">\n",
"\n",
"<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
" width=\"24px\">\n",
" <g>\n",
" <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
" </g>\n",
"</svg>\n",
" </button>\n",
"\n",
"<style>\n",
" .colab-df-quickchart {\n",
" --bg-color: #E8F0FE;\n",
" --fill-color: #1967D2;\n",
" --hover-bg-color: #E2EBFA;\n",
" --hover-fill-color: #174EA6;\n",
" --disabled-fill-color: #AAA;\n",
" --disabled-bg-color: #DDD;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-quickchart {\n",
" --bg-color: #3B4455;\n",
" --fill-color: #D2E3FC;\n",
" --hover-bg-color: #434B5C;\n",
" --hover-fill-color: #FFFFFF;\n",
" --disabled-bg-color: #3B4455;\n",
" --disabled-fill-color: #666;\n",
" }\n",
"\n",
" .colab-df-quickchart {\n",
" background-color: var(--bg-color);\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: var(--fill-color);\n",
" height: 32px;\n",
" padding: 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-quickchart:hover {\n",
" background-color: var(--hover-bg-color);\n",
" box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: var(--button-hover-fill-color);\n",
" }\n",
"\n",
" .colab-df-quickchart-complete:disabled,\n",
" .colab-df-quickchart-complete:disabled:hover {\n",
" background-color: var(--disabled-bg-color);\n",
" fill: var(--disabled-fill-color);\n",
" box-shadow: none;\n",
" }\n",
"\n",
" .colab-df-spinner {\n",
" border: 2px solid var(--fill-color);\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" animation:\n",
" spin 1s steps(1) infinite;\n",
" }\n",
"\n",
" @keyframes spin {\n",
" 0% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" border-left-color: var(--fill-color);\n",
" }\n",
" 20% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 30% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 40% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 60% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 80% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" 90% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" }\n",
"</style>\n",
"\n",
" <script>\n",
" async function quickchart(key) {\n",
" const quickchartButtonEl =\n",
" document.querySelector('#' + key + ' button');\n",
" quickchartButtonEl.disabled = true; // To prevent multiple clicks.\n",
" quickchartButtonEl.classList.add('colab-df-spinner');\n",
" try {\n",
" const charts = await google.colab.kernel.invokeFunction(\n",
" 'suggestCharts', [key], {});\n",
" } catch (error) {\n",
" console.error('Error during call to suggestCharts:', error);\n",
" }\n",
" quickchartButtonEl.classList.remove('colab-df-spinner');\n",
" quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
" }\n",
" (() => {\n",
" let quickchartButtonEl =\n",
" document.querySelector('#df-164db175-01a0-40dc-a73e-054a776c2585 button');\n",
" quickchartButtonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
" })();\n",
" </script>\n",
"</div>\n",
" </div>\n",
" </div>\n"
]
},
"metadata": {},
"execution_count": 42
}
]
},
{
"cell_type": "markdown",
"source": [],
"metadata": {
"id": "uniE-yC73ciD"
}
},
{
"cell_type": "markdown",
"metadata": {
"id": "VIwal9NiwLW_"
},
"source": [
"Random Forest to classify individuals to group ase on abundance value of bacterial taxa"
]
},
{
"cell_type": "code",
"source": [
"from sklearn.model_selection import train_test_split"
],
"metadata": {
"id": "uTBjCvTDrkW0"
},
"execution_count": 43,
"outputs": []
},
{
"cell_type": "code",
"source": [
"data_encoded = pd.get_dummies(ASD_flip_Clean, columns=['group'], drop_first=True)\n",
"data_encoded ##### A=0 and B=1"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"id": "19Y3Zza4zA0y",
"outputId": "9b18e6e6-4e43-46a2-8d2d-24589253a8df"
},
"execution_count": 61,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" g__Faecalibacterium;s__Faecalibacterium prausnitzii \\\n",
"A3 4988 \n",
"A5 5060 \n",
"A6 2905 \n",
"A9 5745 \n",
"A31 4822 \n",
"A51 3889 \n",
"A52 4646 \n",
"A53 6337 \n",
"A54 5064 \n",
"A59 6359 \n",
"A67 3194 \n",
"A68 4486 \n",
"A69 3807 \n",
"A71 6208 \n",
"A73 3008 \n",
"A76 5628 \n",
"A78 5732 \n",
"A87 5240 \n",
"A89 3616 \n",
"A93 3355 \n",
"A101 3833 \n",
"A109 3771 \n",
"A113 5489 \n",
"A114 6762 \n",
"A115 3045 \n",
"A142 6205 \n",
"A144 6048 \n",
"A149 5418 \n",
"A164 5120 \n",
"A165 8504 \n",
"B1 4269 \n",
"B2 4397 \n",
"B3 4499 \n",
"B5 6126 \n",
"B6 7020 \n",
"B7 5404 \n",
"B8 4404 \n",
"B13 5811 \n",
"B14 3360 \n",
"B28 4141 \n",
"B29 2880 \n",
"B36 3805 \n",
"B37 4168 \n",
"B94 4543 \n",
"B99 2804 \n",
"B103 5728 \n",
"B106 3827 \n",
"B111 6030 \n",
"B114 4950 \n",
"B115 4749 \n",
"B120 4471 \n",
"B127 5868 \n",
"B132 6561 \n",
"B141 4910 \n",
"B142 4492 \n",
"B143 2812 \n",
"B152 5303 \n",
"B156 4205 \n",
"B158 3430 \n",
"B164 4563 \n",
"\n",
" g__Hungatella;s__Hungatella hathewayi \\\n",
"A3 5803 \n",
"A5 5612 \n",
"A6 4109 \n",
"A9 1432 \n",
"A31 2652 \n",
"A51 4175 \n",
"A52 3891 \n",
"A53 894 \n",
"A54 4903 \n",
"A59 2970 \n",
"A67 4029 \n",
"A68 1266 \n",
"A69 4822 \n",
"A71 1635 \n",
"A73 4761 \n",
"A76 1366 \n",
"A78 1867 \n",
"A87 2065 \n",
"A89 4777 \n",
"A93 5954 \n",
"A101 6849 \n",
"A109 4390 \n",
"A113 2091 \n",
"A114 1638 \n",
"A115 4613 \n",
"A142 2601 \n",
"A144 1892 \n",
"A149 3267 \n",
"A164 2294 \n",
"A165 2978 \n",
"B1 1217 \n",
"B2 6238 \n",
"B3 2325 \n",
"B5 5004 \n",
"B6 2829 \n",
"B7 2192 \n",
"B8 2921 \n",
"B13 4303 \n",
"B14 2793 \n",
"B28 3671 \n",
"B29 5350 \n",
"B36 4566 \n",
"B37 3984 \n",
"B94 5597 \n",
"B99 5191 \n",
"B103 2204 \n",
"B106 5523 \n",
"B111 1556 \n",
"B114 4983 \n",
"B115 5993 \n",
"B120 2126 \n",
"B127 4429 \n",
"B132 2598 \n",
"B141 4222 \n",
"B142 4925 \n",
"B143 5753 \n",
"B152 1261 \n",
"B156 1822 \n",
"B158 2478 \n",
"B164 4868 \n",
"\n",
" g__Clostridium;s__uncultured Clostridium sp. \\\n",
"A3 3793 \n",
"A5 2795 \n",
"A6 1355 \n",
"A9 5558 \n",
"A31 5383 \n",
"A51 3505 \n",
"A52 5541 \n",
"A53 4429 \n",
"A54 4121 \n",
"A59 3258 \n",
"A67 1901 \n",
"A68 2940 \n",
"A69 3820 \n",
"A71 5118 \n",
"A73 1582 \n",
"A76 4168 \n",
"A78 3831 \n",
"A87 3464 \n",
"A89 2942 \n",
"A93 3291 \n",
"A101 4586 \n",
"A109 1014 \n",
"A113 4100 \n",
"A114 4336 \n",
"A115 2301 \n",
"A142 6372 \n",
"A144 4020 \n",
"A149 3511 \n",
"A164 4328 \n",
"A165 3906 \n",
"B1 3853 \n",
"B2 4624 \n",
"B3 3842 \n",
"B5 4399 \n",
"B6 3916 \n",
"B7 3355 \n",
"B8 5165 \n",
"B13 4453 \n",
"B14 1999 \n",
"B28 3974 \n",
"B29 1185 \n",
"B36 3895 \n",
"B37 2710 \n",
"B94 3425 \n",
"B99 1559 \n",
"B103 4902 \n",
"B106 3016 \n",
"B111 6066 \n",
"B114 5082 \n",
"B115 3764 \n",
"B120 4085 \n",
"B127 6041 \n",
"B132 6188 \n",
"B141 3960 \n",
"B142 4403 \n",
"B143 2841 \n",
"B152 2746 \n",
"B156 3808 \n",
"B158 3856 \n",
"B164 3211 \n",
"\n",
" g__Butyricimonas;s__Butyricimonas virosa \\\n",
"A3 64 \n",
"A5 1385 \n",
"A6 725 \n",
"A9 1553 \n",
"A31 40 \n",
"A51 53 \n",
"A52 33 \n",
"A53 175 \n",
"A54 58 \n",
"A59 1636 \n",
"A67 1170 \n",
"A68 80 \n",
"A69 59 \n",
"A71 77 \n",
"A73 1364 \n",
"A76 67 \n",
"A78 63 \n",
"A87 7 \n",
"A89 999 \n",
"A93 39 \n",
"A101 3285 \n",
"A109 30 \n",
"A113 54 \n",
"A114 1168 \n",
"A115 50 \n",
"A142 38 \n",
"A144 49 \n",
"A149 27 \n",
"A164 1685 \n",
"A165 838 \n",
"B1 1624 \n",
"B2 1 \n",
"B3 703 \n",
"B5 43 \n",
"B6 46 \n",
"B7 1505 \n",
"B8 32 \n",
"B13 1474 \n",
"B14 2 \n",
"B28 52 \n",
"B29 4 \n",
"B36 5 \n",
"B37 43 \n",
"B94 1449 \n",
"B99 5 \n",
"B103 36 \n",
"B106 34 \n",
"B111 37 \n",
"B114 113 \n",
"B115 46 \n",
"B120 2065 \n",
"B127 21 \n",
"B132 27 \n",
"B141 55 \n",
"B142 35 \n",
"B143 8 \n",
"B152 884 \n",
"B156 13 \n",
"B158 3 \n",
"B164 218 \n",
"\n",
" g__Alistipes;s__Alistipes indistinctus \\\n",
"A3 15 \n",
"A5 20 \n",
"A6 723 \n",
"A9 620 \n",
"A31 3261 \n",
"A51 43 \n",
"A52 83 \n",
"A53 37 \n",
"A54 43 \n",
"A59 1114 \n",
"A67 2531 \n",
"A68 207 \n",
"A69 59 \n",
"A71 50 \n",
"A73 55 \n",
"A76 1194 \n",
"A78 68 \n",
"A87 49 \n",
"A89 979 \n",
"A93 10 \n",
"A101 3159 \n",
"A109 61 \n",
"A113 2606 \n",
"A114 2821 \n",
"A115 21 \n",
"A142 2276 \n",
"A144 3 \n",
"A149 34 \n",
"A164 2681 \n",
"A165 2103 \n",
"B1 2452 \n",
"B2 3 \n",
"B3 819 \n",
"B5 2761 \n",
"B6 691 \n",
"B7 2768 \n",
"B8 25 \n",
"B13 1095 \n",
"B14 13 \n",
"B28 4 \n",
"B29 4 \n",
"B36 6 \n",
"B37 356 \n",
"B94 2380 \n",
"B99 23 \n",
"B103 3089 \n",
"B106 33 \n",
"B111 2052 \n",
"B114 2801 \n",
"B115 2 \n",
"B120 90 \n",
"B127 22 \n",
"B132 30 \n",
"B141 1027 \n",
"B142 2641 \n",
"B143 4 \n",
"B152 1587 \n",
"B156 2223 \n",
"B158 6 \n",
"B164 1473 \n",
"\n",
" g__Unclassified;s__Firmicutes bacterium CAG:176 \\\n",
"A3 100 \n",
"A5 29 \n",
"A6 11 \n",
"A9 1320 \n",
"A31 51 \n",
"A51 45 \n",
"A52 52 \n",
"A53 64 \n",
"A54 60 \n",
"A59 896 \n",
"A67 26 \n",
"A68 54 \n",
"A69 35 \n",
"A71 1953 \n",
"A73 23 \n",
"A76 54 \n",
"A78 50 \n",
"A87 70 \n",
"A89 55 \n",
"A93 36 \n",
"A101 1109 \n",
"A109 25 \n",
"A113 48 \n",
"A114 3034 \n",
"A115 67 \n",
"A142 1196 \n",
"A144 123 \n",
"A149 160 \n",
"A164 49 \n",
"A165 1158 \n",
"B1 185 \n",
"B2 41 \n",
"B3 24 \n",
"B5 1418 \n",
"B6 119 \n",
"B7 23 \n",
"B8 757 \n",
"B13 629 \n",
"B14 12 \n",
"B28 37 \n",
"B29 7 \n",
"B36 8 \n",
"B37 19 \n",
"B94 65 \n",
"B99 13 \n",
"B103 851 \n",
"B106 34 \n",
"B111 208 \n",
"B114 803 \n",
"B115 30 \n",
"B120 829 \n",
"B127 136 \n",
"B132 159 \n",
"B141 22 \n",
"B142 41 \n",
"B143 10 \n",
"B152 28 \n",
"B156 38 \n",
"B158 15 \n",
"B164 64 \n",
"\n",
" g__Clostridium;s__Clostridium sp. CAG:7 \\\n",
"A3 2119 \n",
"A5 1230 \n",
"A6 1322 \n",
"A9 2675 \n",
"A31 1470 \n",
"A51 2262 \n",
"A52 2984 \n",
"A53 2004 \n",
"A54 1904 \n",
"A59 1227 \n",
"A67 821 \n",
"A68 1420 \n",
"A69 167 \n",
"A71 1696 \n",
"A73 1389 \n",
"A76 1192 \n",
"A78 1772 \n",
"A87 1807 \n",
"A89 144 \n",
"A93 1291 \n",
"A101 1876 \n",
"A109 245 \n",
"A113 1945 \n",
"A114 2036 \n",
"A115 1489 \n",
"A142 1754 \n",
"A144 1556 \n",
"A149 2035 \n",
"A164 2370 \n",
"A165 2136 \n",
"B1 1358 \n",
"B2 1850 \n",
"B3 1504 \n",
"B5 1566 \n",
"B6 1831 \n",
"B7 643 \n",
"B8 2117 \n",
"B13 1581 \n",
"B14 1229 \n",
"B28 2649 \n",
"B29 1284 \n",
"B36 818 \n",
"B37 1451 \n",
"B94 1999 \n",
"B99 108 \n",
"B103 2361 \n",
"B106 2246 \n",
"B111 1839 \n",
"B114 1769 \n",
"B115 2045 \n",
"B120 2475 \n",
"B127 1649 \n",
"B132 2018 \n",
"B141 1999 \n",
"B142 2027 \n",
"B143 180 \n",
"B152 2134 \n",
"B156 1134 \n",
"B158 1487 \n",
"B164 1797 \n",
"\n",
" g__Unclassified;s__Firmicutes bacterium CAG:882 \\\n",
"A3 12 \n",
"A5 24 \n",
"A6 1 \n",
"A9 44 \n",
"A31 26 \n",
"A51 9 \n",
"A52 25 \n",
"A53 19 \n",
"A54 17 \n",
"A59 17 \n",
"A67 15 \n",
"A68 7 \n",
"A69 9 \n",
"A71 127 \n",
"A73 24 \n",
"A76 17 \n",
"A78 15 \n",
"A87 15 \n",
"A89 21 \n",
"A93 18 \n",
"A101 31 \n",
"A109 17 \n",
"A113 17 \n",
"A114 74 \n",
"A115 11 \n",
"A142 42 \n",
"A144 2940 \n",
"A149 20 \n",
"A164 35 \n",
"A165 82 \n",
"B1 30 \n",
"B2 13 \n",
"B3 381 \n",
"B5 1569 \n",
"B6 15 \n",
"B7 4 \n",
"B8 22 \n",
"B13 16 \n",
"B14 2 \n",
"B28 53 \n",
"B29 16 \n",
"B36 40 \n",
"B37 61 \n",
"B94 57 \n",
"B99 888 \n",
"B103 20 \n",
"B106 9 \n",
"B111 1718 \n",
"B114 1473 \n",
"B115 33 \n",
"B120 15 \n",
"B127 1711 \n",
"B132 1456 \n",
"B141 11 \n",
"B142 9 \n",
"B143 46 \n",
"B152 19 \n",
"B156 25 \n",
"B158 47 \n",
"B164 8 \n",
"\n",
" g__Lachnoclostridium;s__[Clostridium] asparagiforme \\\n",
"A3 453 \n",
"A5 691 \n",
"A6 2278 \n",
"A9 107 \n",
"A31 342 \n",
"A51 1304 \n",
"A52 1400 \n",
"A53 1207 \n",
"A54 2034 \n",
"A59 2051 \n",
"A67 20 \n",
"A68 105 \n",
"A69 752 \n",
"A71 527 \n",
"A73 478 \n",
"A76 423 \n",
"A78 260 \n",
"A87 2534 \n",
"A89 1611 \n",
"A93 2758 \n",
"A101 438 \n",
"A109 1595 \n",
"A113 2038 \n",
"A114 747 \n",
"A115 1336 \n",
"A142 646 \n",
"A144 909 \n",
"A149 227 \n",
"A164 402 \n",
"A165 539 \n",
"B1 145 \n",
"B2 2524 \n",
"B3 2208 \n",
"B5 453 \n",
"B6 236 \n",
"B7 2670 \n",
"B8 1656 \n",
"B13 2566 \n",
"B14 128 \n",
"B28 46 \n",
"B29 2564 \n",
"B36 1438 \n",
"B37 2142 \n",
"B94 323 \n",
"B99 563 \n",
"B103 776 \n",
"B106 437 \n",
"B111 475 \n",
"B114 1537 \n",
"B115 580 \n",
"B120 1555 \n",
"B127 554 \n",
"B132 389 \n",
"B141 548 \n",
"B142 1815 \n",
"B143 1508 \n",
"B152 1169 \n",
"B156 321 \n",
"B158 2169 \n",
"B164 159 \n",
"\n",
" g__Butyricicoccus;s__uncultured Butyricicoccus sp. ... \\\n",
"A3 1266 ... \n",
"A5 1682 ... \n",
"A6 43 ... \n",
"A9 1726 ... \n",
"A31 1804 ... \n",
"A51 1441 ... \n",
"A52 2691 ... \n",
"A53 1886 ... \n",
"A54 919 ... \n",
"A59 2215 ... \n",
"A67 1063 ... \n",
"A68 1765 ... \n",
"A69 146 ... \n",
"A71 2171 ... \n",
"A73 1679 ... \n",
"A76 948 ... \n",
"A78 632 ... \n",
"A87 1231 ... \n",
"A89 1110 ... \n",
"A93 1317 ... \n",
"A101 2153 ... \n",
"A109 82 ... \n",
"A113 1116 ... \n",
"A114 2065 ... \n",
"A115 1033 ... \n",
"A142 1169 ... \n",
"A144 1583 ... \n",
"A149 1016 ... \n",
"A164 1592 ... \n",
"A165 1051 ... \n",
"B1 1949 ... \n",
"B2 1858 ... \n",
"B3 2209 ... \n",
"B5 1979 ... \n",
"B6 2451 ... \n",
"B7 750 ... \n",
"B8 1563 ... \n",
"B13 2502 ... \n",
"B14 1262 ... \n",
"B28 1989 ... \n",
"B29 1146 ... \n",
"B36 2241 ... \n",
"B37 1341 ... \n",
"B94 1038 ... \n",
"B99 572 ... \n",
"B103 1756 ... \n",
"B106 727 ... \n",
"B111 653 ... \n",
"B114 2117 ... \n",
"B115 1132 ... \n",
"B120 1099 ... \n",
"B127 2072 ... \n",
"B132 1868 ... \n",
"B141 1853 ... \n",
"B142 2277 ... \n",
"B143 1069 ... \n",
"B152 1226 ... \n",
"B156 1601 ... \n",
"B158 839 ... \n",
"B164 1278 ... \n",
"\n",
" g__Unclassified;s__Enterococcus phage EFDG1 \\\n",
"A3 0 \n",
"A5 0 \n",
"A6 0 \n",
"A9 0 \n",
"A31 0 \n",
"A51 0 \n",
"A52 0 \n",
"A53 0 \n",
"A54 0 \n",
"A59 0 \n",
"A67 0 \n",
"A68 0 \n",
"A69 0 \n",
"A71 0 \n",
"A73 0 \n",
"A76 0 \n",
"A78 0 \n",
"A87 0 \n",
"A89 0 \n",
"A93 0 \n",
"A101 0 \n",
"A109 0 \n",
"A113 0 \n",
"A114 0 \n",
"A115 0 \n",
"A142 0 \n",
"A144 0 \n",
"A149 0 \n",
"A164 0 \n",
"A165 0 \n",
"B1 0 \n",
"B2 0 \n",
"B3 0 \n",
"B5 0 \n",
"B6 0 \n",
"B7 0 \n",
"B8 0 \n",
"B13 0 \n",
"B14 0 \n",
"B28 0 \n",
"B29 0 \n",
"B36 0 \n",
"B37 0 \n",
"B94 0 \n",
"B99 0 \n",
"B103 0 \n",
"B106 0 \n",
"B111 0 \n",
"B114 0 \n",
"B115 0 \n",
"B120 0 \n",
"B127 0 \n",
"B132 0 \n",
"B141 0 \n",
"B142 0 \n",
"B143 0 \n",
"B152 0 \n",
"B156 0 \n",
"B158 0 \n",
"B164 0 \n",
"\n",
" g__Unclassified;s__Podovirus Lau218 \\\n",
"A3 0 \n",
"A5 0 \n",
"A6 0 \n",
"A9 0 \n",
"A31 0 \n",
"A51 0 \n",
"A52 0 \n",
"A53 0 \n",
"A54 0 \n",
"A59 0 \n",
"A67 0 \n",
"A68 0 \n",
"A69 0 \n",
"A71 0 \n",
"A73 0 \n",
"A76 0 \n",
"A78 0 \n",
"A87 0 \n",
"A89 0 \n",
"A93 0 \n",
"A101 0 \n",
"A109 0 \n",
"A113 0 \n",
"A114 0 \n",
"A115 0 \n",
"A142 0 \n",
"A144 0 \n",
"A149 0 \n",
"A164 0 \n",
"A165 0 \n",
"B1 0 \n",
"B2 0 \n",
"B3 0 \n",
"B5 0 \n",
"B6 0 \n",
"B7 0 \n",
"B8 0 \n",
"B13 0 \n",
"B14 0 \n",
"B28 0 \n",
"B29 0 \n",
"B36 0 \n",
"B37 0 \n",
"B94 0 \n",
"B99 0 \n",
"B103 0 \n",
"B106 0 \n",
"B111 0 \n",
"B114 0 \n",
"B115 0 \n",
"B120 0 \n",
"B127 0 \n",
"B132 0 \n",
"B141 0 \n",
"B142 0 \n",
"B143 0 \n",
"B152 0 \n",
"B156 0 \n",
"B158 0 \n",
"B164 0 \n",
"\n",
" g__Sap6virus;s__Enterococcus phage VD13 \\\n",
"A3 0 \n",
"A5 0 \n",
"A6 0 \n",
"A9 0 \n",
"A31 0 \n",
"A51 0 \n",
"A52 0 \n",
"A53 0 \n",
"A54 0 \n",
"A59 0 \n",
"A67 0 \n",
"A68 0 \n",
"A69 0 \n",
"A71 0 \n",
"A73 0 \n",
"A76 0 \n",
"A78 0 \n",
"A87 0 \n",
"A89 0 \n",
"A93 0 \n",
"A101 0 \n",
"A109 0 \n",
"A113 0 \n",
"A114 0 \n",
"A115 0 \n",
"A142 0 \n",
"A144 0 \n",
"A149 0 \n",
"A164 0 \n",
"A165 0 \n",
"B1 0 \n",
"B2 0 \n",
"B3 0 \n",
"B5 0 \n",
"B6 0 \n",
"B7 0 \n",
"B8 0 \n",
"B13 0 \n",
"B14 0 \n",
"B28 0 \n",
"B29 0 \n",
"B36 0 \n",
"B37 0 \n",
"B94 0 \n",
"B99 0 \n",
"B103 0 \n",
"B106 0 \n",
"B111 0 \n",
"B114 0 \n",
"B115 0 \n",
"B120 0 \n",
"B127 0 \n",
"B132 0 \n",
"B141 0 \n",
"B142 0 \n",
"B143 0 \n",
"B152 0 \n",
"B156 0 \n",
"B158 0 \n",
"B164 0 \n",
"\n",
" g__Unclassified;s__Bacillus phage vB_BanS-Tsamsa \\\n",
"A3 0 \n",
"A5 0 \n",
"A6 0 \n",
"A9 0 \n",
"A31 0 \n",
"A51 0 \n",
"A52 0 \n",
"A53 0 \n",
"A54 0 \n",
"A59 0 \n",
"A67 0 \n",
"A68 0 \n",
"A69 0 \n",
"A71 0 \n",
"A73 0 \n",
"A76 0 \n",
"A78 0 \n",
"A87 0 \n",
"A89 0 \n",
"A93 0 \n",
"A101 0 \n",
"A109 0 \n",
"A113 0 \n",
"A114 0 \n",
"A115 0 \n",
"A142 0 \n",
"A144 0 \n",
"A149 0 \n",
"A164 0 \n",
"A165 0 \n",
"B1 0 \n",
"B2 0 \n",
"B3 0 \n",
"B5 0 \n",
"B6 0 \n",
"B7 0 \n",
"B8 0 \n",
"B13 0 \n",
"B14 0 \n",
"B28 0 \n",
"B29 0 \n",
"B36 0 \n",
"B37 0 \n",
"B94 0 \n",
"B99 0 \n",
"B103 0 \n",
"B106 0 \n",
"B111 0 \n",
"B114 0 \n",
"B115 0 \n",
"B120 0 \n",
"B127 0 \n",
"B132 0 \n",
"B141 0 \n",
"B142 0 \n",
"B143 0 \n",
"B152 0 \n",
"B156 0 \n",
"B158 0 \n",
"B164 0 \n",
"\n",
" g__Unclassified;s__Gordonia phage GTE2 \\\n",
"A3 0 \n",
"A5 0 \n",
"A6 0 \n",
"A9 0 \n",
"A31 0 \n",
"A51 0 \n",
"A52 0 \n",
"A53 0 \n",
"A54 0 \n",
"A59 0 \n",
"A67 0 \n",
"A68 0 \n",
"A69 0 \n",
"A71 0 \n",
"A73 0 \n",
"A76 0 \n",
"A78 0 \n",
"A87 0 \n",
"A89 0 \n",
"A93 0 \n",
"A101 0 \n",
"A109 0 \n",
"A113 0 \n",
"A114 0 \n",
"A115 0 \n",
"A142 0 \n",
"A144 0 \n",
"A149 0 \n",
"A164 0 \n",
"A165 0 \n",
"B1 0 \n",
"B2 0 \n",
"B3 0 \n",
"B5 0 \n",
"B6 0 \n",
"B7 0 \n",
"B8 0 \n",
"B13 0 \n",
"B14 0 \n",
"B28 0 \n",
"B29 0 \n",
"B36 0 \n",
"B37 0 \n",
"B94 0 \n",
"B99 0 \n",
"B103 0 \n",
"B106 0 \n",
"B111 0 \n",
"B114 0 \n",
"B115 0 \n",
"B120 0 \n",
"B127 0 \n",
"B132 0 \n",
"B141 0 \n",
"B142 0 \n",
"B143 0 \n",
"B152 0 \n",
"B156 0 \n",
"B158 0 \n",
"B164 0 \n",
"\n",
" g__Alphabaculovirus;s__Hyphantria cunea nucleopolyhedrovirus \\\n",
"A3 0 \n",
"A5 0 \n",
"A6 0 \n",
"A9 0 \n",
"A31 0 \n",
"A51 0 \n",
"A52 0 \n",
"A53 0 \n",
"A54 0 \n",
"A59 0 \n",
"A67 0 \n",
"A68 0 \n",
"A69 0 \n",
"A71 0 \n",
"A73 0 \n",
"A76 0 \n",
"A78 0 \n",
"A87 0 \n",
"A89 0 \n",
"A93 0 \n",
"A101 0 \n",
"A109 0 \n",
"A113 0 \n",
"A114 0 \n",
"A115 0 \n",
"A142 0 \n",
"A144 0 \n",
"A149 0 \n",
"A164 0 \n",
"A165 0 \n",
"B1 0 \n",
"B2 0 \n",
"B3 0 \n",
"B5 0 \n",
"B6 0 \n",
"B7 0 \n",
"B8 0 \n",
"B13 0 \n",
"B14 0 \n",
"B28 0 \n",
"B29 0 \n",
"B36 0 \n",
"B37 0 \n",
"B94 0 \n",
"B99 0 \n",
"B103 0 \n",
"B106 0 \n",
"B111 0 \n",
"B114 0 \n",
"B115 0 \n",
"B120 0 \n",
"B127 0 \n",
"B132 0 \n",
"B141 0 \n",
"B142 0 \n",
"B143 0 \n",
"B152 0 \n",
"B156 0 \n",
"B158 0 \n",
"B164 0 \n",
"\n",
" g__Potyvirus;s__Bean common mosaic virus \\\n",
"A3 0 \n",
"A5 0 \n",
"A6 0 \n",
"A9 0 \n",
"A31 0 \n",
"A51 0 \n",
"A52 0 \n",
"A53 0 \n",
"A54 0 \n",
"A59 0 \n",
"A67 0 \n",
"A68 0 \n",
"A69 0 \n",
"A71 0 \n",
"A73 0 \n",
"A76 0 \n",
"A78 0 \n",
"A87 0 \n",
"A89 0 \n",
"A93 0 \n",
"A101 0 \n",
"A109 0 \n",
"A113 0 \n",
"A114 0 \n",
"A115 0 \n",
"A142 0 \n",
"A144 0 \n",
"A149 0 \n",
"A164 0 \n",
"A165 0 \n",
"B1 0 \n",
"B2 0 \n",
"B3 0 \n",
"B5 0 \n",
"B6 0 \n",
"B7 0 \n",
"B8 0 \n",
"B13 0 \n",
"B14 0 \n",
"B28 0 \n",
"B29 0 \n",
"B36 0 \n",
"B37 0 \n",
"B94 0 \n",
"B99 0 \n",
"B103 0 \n",
"B106 0 \n",
"B111 0 \n",
"B114 0 \n",
"B115 0 \n",
"B120 0 \n",
"B127 0 \n",
"B132 0 \n",
"B141 0 \n",
"B142 0 \n",
"B143 0 \n",
"B152 0 \n",
"B156 0 \n",
"B158 0 \n",
"B164 0 \n",
"\n",
" g__Potyvirus;s__Telosma mosaic virus \\\n",
"A3 0 \n",
"A5 0 \n",
"A6 0 \n",
"A9 0 \n",
"A31 0 \n",
"A51 0 \n",
"A52 0 \n",
"A53 0 \n",
"A54 0 \n",
"A59 0 \n",
"A67 0 \n",
"A68 0 \n",
"A69 0 \n",
"A71 0 \n",
"A73 0 \n",
"A76 0 \n",
"A78 0 \n",
"A87 0 \n",
"A89 0 \n",
"A93 0 \n",
"A101 0 \n",
"A109 0 \n",
"A113 0 \n",
"A114 0 \n",
"A115 0 \n",
"A142 0 \n",
"A144 0 \n",
"A149 0 \n",
"A164 0 \n",
"A165 0 \n",
"B1 0 \n",
"B2 0 \n",
"B3 0 \n",
"B5 0 \n",
"B6 0 \n",
"B7 0 \n",
"B8 0 \n",
"B13 0 \n",
"B14 0 \n",
"B28 0 \n",
"B29 0 \n",
"B36 0 \n",
"B37 0 \n",
"B94 0 \n",
"B99 0 \n",
"B103 0 \n",
"B106 0 \n",
"B111 0 \n",
"B114 0 \n",
"B115 0 \n",
"B120 0 \n",
"B127 0 \n",
"B132 0 \n",
"B141 0 \n",
"B142 0 \n",
"B143 0 \n",
"B152 0 \n",
"B156 0 \n",
"B158 0 \n",
"B164 0 \n",
"\n",
" g__Unclassified;s__Freshwater phage uvFW-CGR-AMD-COM-C203 group_B \n",
"A3 0 0 \n",
"A5 0 0 \n",
"A6 0 0 \n",
"A9 0 0 \n",
"A31 0 0 \n",
"A51 0 0 \n",
"A52 0 0 \n",
"A53 0 0 \n",
"A54 0 0 \n",
"A59 0 0 \n",
"A67 0 0 \n",
"A68 0 0 \n",
"A69 0 0 \n",
"A71 0 0 \n",
"A73 0 0 \n",
"A76 0 0 \n",
"A78 0 0 \n",
"A87 0 0 \n",
"A89 0 0 \n",
"A93 0 0 \n",
"A101 0 0 \n",
"A109 0 0 \n",
"A113 0 0 \n",
"A114 0 0 \n",
"A115 0 0 \n",
"A142 0 0 \n",
"A144 0 0 \n",
"A149 0 0 \n",
"A164 0 0 \n",
"A165 0 0 \n",
"B1 0 1 \n",
"B2 0 1 \n",
"B3 0 1 \n",
"B5 0 1 \n",
"B6 0 1 \n",
"B7 0 1 \n",
"B8 0 1 \n",
"B13 0 1 \n",
"B14 0 1 \n",
"B28 0 1 \n",
"B29 0 1 \n",
"B36 0 1 \n",
"B37 0 1 \n",
"B94 0 1 \n",
"B99 0 1 \n",
"B103 0 1 \n",
"B106 0 1 \n",
"B111 0 1 \n",
"B114 0 1 \n",
"B115 0 1 \n",
"B120 0 1 \n",
"B127 0 1 \n",
"B132 0 1 \n",
"B141 0 1 \n",
"B142 0 1 \n",
"B143 0 1 \n",
"B152 0 1 \n",
"B156 0 1 \n",
"B158 0 1 \n",
"B164 0 1 \n",
"\n",
"[60 rows x 5620 columns]"
],
"text/html": [
"\n",
" <div id=\"df-21a75b2f-37d2-4aac-9277-f6772a8d1a15\" class=\"colab-df-container\">\n",
" <div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>g__Faecalibacterium;s__Faecalibacterium prausnitzii</th>\n",
" <th>g__Hungatella;s__Hungatella hathewayi</th>\n",
" <th>g__Clostridium;s__uncultured Clostridium sp.</th>\n",
" <th>g__Butyricimonas;s__Butyricimonas virosa</th>\n",
" <th>g__Alistipes;s__Alistipes indistinctus</th>\n",
" <th>g__Unclassified;s__Firmicutes bacterium CAG:176</th>\n",
" <th>g__Clostridium;s__Clostridium sp. CAG:7</th>\n",
" <th>g__Unclassified;s__Firmicutes bacterium CAG:882</th>\n",
" <th>g__Lachnoclostridium;s__[Clostridium] asparagiforme</th>\n",
" <th>g__Butyricicoccus;s__uncultured Butyricicoccus sp.</th>\n",
" <th>...</th>\n",
" <th>g__Unclassified;s__Enterococcus phage EFDG1</th>\n",
" <th>g__Unclassified;s__Podovirus Lau218</th>\n",
" <th>g__Sap6virus;s__Enterococcus phage VD13</th>\n",
" <th>g__Unclassified;s__Bacillus phage vB_BanS-Tsamsa</th>\n",
" <th>g__Unclassified;s__Gordonia phage GTE2</th>\n",
" <th>g__Alphabaculovirus;s__Hyphantria cunea nucleopolyhedrovirus</th>\n",
" <th>g__Potyvirus;s__Bean common mosaic virus</th>\n",
" <th>g__Potyvirus;s__Telosma mosaic virus</th>\n",
" <th>g__Unclassified;s__Freshwater phage uvFW-CGR-AMD-COM-C203</th>\n",
" <th>group_B</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>A3</th>\n",
" <td>4988</td>\n",
" <td>5803</td>\n",
" <td>3793</td>\n",
" <td>64</td>\n",
" <td>15</td>\n",
" <td>100</td>\n",
" <td>2119</td>\n",
" <td>12</td>\n",
" <td>453</td>\n",
" <td>1266</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A5</th>\n",
" <td>5060</td>\n",
" <td>5612</td>\n",
" <td>2795</td>\n",
" <td>1385</td>\n",
" <td>20</td>\n",
" <td>29</td>\n",
" <td>1230</td>\n",
" <td>24</td>\n",
" <td>691</td>\n",
" <td>1682</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A6</th>\n",
" <td>2905</td>\n",
" <td>4109</td>\n",
" <td>1355</td>\n",
" <td>725</td>\n",
" <td>723</td>\n",
" <td>11</td>\n",
" <td>1322</td>\n",
" <td>1</td>\n",
" <td>2278</td>\n",
" <td>43</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A9</th>\n",
" <td>5745</td>\n",
" <td>1432</td>\n",
" <td>5558</td>\n",
" <td>1553</td>\n",
" <td>620</td>\n",
" <td>1320</td>\n",
" <td>2675</td>\n",
" <td>44</td>\n",
" <td>107</td>\n",
" <td>1726</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A31</th>\n",
" <td>4822</td>\n",
" <td>2652</td>\n",
" <td>5383</td>\n",
" <td>40</td>\n",
" <td>3261</td>\n",
" <td>51</td>\n",
" <td>1470</td>\n",
" <td>26</td>\n",
" <td>342</td>\n",
" <td>1804</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A51</th>\n",
" <td>3889</td>\n",
" <td>4175</td>\n",
" <td>3505</td>\n",
" <td>53</td>\n",
" <td>43</td>\n",
" <td>45</td>\n",
" <td>2262</td>\n",
" <td>9</td>\n",
" <td>1304</td>\n",
" <td>1441</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A52</th>\n",
" <td>4646</td>\n",
" <td>3891</td>\n",
" <td>5541</td>\n",
" <td>33</td>\n",
" <td>83</td>\n",
" <td>52</td>\n",
" <td>2984</td>\n",
" <td>25</td>\n",
" <td>1400</td>\n",
" <td>2691</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A53</th>\n",
" <td>6337</td>\n",
" <td>894</td>\n",
" <td>4429</td>\n",
" <td>175</td>\n",
" <td>37</td>\n",
" <td>64</td>\n",
" <td>2004</td>\n",
" <td>19</td>\n",
" <td>1207</td>\n",
" <td>1886</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A54</th>\n",
" <td>5064</td>\n",
" <td>4903</td>\n",
" <td>4121</td>\n",
" <td>58</td>\n",
" <td>43</td>\n",
" <td>60</td>\n",
" <td>1904</td>\n",
" <td>17</td>\n",
" <td>2034</td>\n",
" <td>919</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A59</th>\n",
" <td>6359</td>\n",
" <td>2970</td>\n",
" <td>3258</td>\n",
" <td>1636</td>\n",
" <td>1114</td>\n",
" <td>896</td>\n",
" <td>1227</td>\n",
" <td>17</td>\n",
" <td>2051</td>\n",
" <td>2215</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A67</th>\n",
" <td>3194</td>\n",
" <td>4029</td>\n",
" <td>1901</td>\n",
" <td>1170</td>\n",
" <td>2531</td>\n",
" <td>26</td>\n",
" <td>821</td>\n",
" <td>15</td>\n",
" <td>20</td>\n",
" <td>1063</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A68</th>\n",
" <td>4486</td>\n",
" <td>1266</td>\n",
" <td>2940</td>\n",
" <td>80</td>\n",
" <td>207</td>\n",
" <td>54</td>\n",
" <td>1420</td>\n",
" <td>7</td>\n",
" <td>105</td>\n",
" <td>1765</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A69</th>\n",
" <td>3807</td>\n",
" <td>4822</td>\n",
" <td>3820</td>\n",
" <td>59</td>\n",
" <td>59</td>\n",
" <td>35</td>\n",
" <td>167</td>\n",
" <td>9</td>\n",
" <td>752</td>\n",
" <td>146</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A71</th>\n",
" <td>6208</td>\n",
" <td>1635</td>\n",
" <td>5118</td>\n",
" <td>77</td>\n",
" <td>50</td>\n",
" <td>1953</td>\n",
" <td>1696</td>\n",
" <td>127</td>\n",
" <td>527</td>\n",
" <td>2171</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A73</th>\n",
" <td>3008</td>\n",
" <td>4761</td>\n",
" <td>1582</td>\n",
" <td>1364</td>\n",
" <td>55</td>\n",
" <td>23</td>\n",
" <td>1389</td>\n",
" <td>24</td>\n",
" <td>478</td>\n",
" <td>1679</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A76</th>\n",
" <td>5628</td>\n",
" <td>1366</td>\n",
" <td>4168</td>\n",
" <td>67</td>\n",
" <td>1194</td>\n",
" <td>54</td>\n",
" <td>1192</td>\n",
" <td>17</td>\n",
" <td>423</td>\n",
" <td>948</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A78</th>\n",
" <td>5732</td>\n",
" <td>1867</td>\n",
" <td>3831</td>\n",
" <td>63</td>\n",
" <td>68</td>\n",
" <td>50</td>\n",
" <td>1772</td>\n",
" <td>15</td>\n",
" <td>260</td>\n",
" <td>632</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A87</th>\n",
" <td>5240</td>\n",
" <td>2065</td>\n",
" <td>3464</td>\n",
" <td>7</td>\n",
" <td>49</td>\n",
" <td>70</td>\n",
" <td>1807</td>\n",
" <td>15</td>\n",
" <td>2534</td>\n",
" <td>1231</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A89</th>\n",
" <td>3616</td>\n",
" <td>4777</td>\n",
" <td>2942</td>\n",
" <td>999</td>\n",
" <td>979</td>\n",
" <td>55</td>\n",
" <td>144</td>\n",
" <td>21</td>\n",
" <td>1611</td>\n",
" <td>1110</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A93</th>\n",
" <td>3355</td>\n",
" <td>5954</td>\n",
" <td>3291</td>\n",
" <td>39</td>\n",
" <td>10</td>\n",
" <td>36</td>\n",
" <td>1291</td>\n",
" <td>18</td>\n",
" <td>2758</td>\n",
" <td>1317</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A101</th>\n",
" <td>3833</td>\n",
" <td>6849</td>\n",
" <td>4586</td>\n",
" <td>3285</td>\n",
" <td>3159</td>\n",
" <td>1109</td>\n",
" <td>1876</td>\n",
" <td>31</td>\n",
" <td>438</td>\n",
" <td>2153</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A109</th>\n",
" <td>3771</td>\n",
" <td>4390</td>\n",
" <td>1014</td>\n",
" <td>30</td>\n",
" <td>61</td>\n",
" <td>25</td>\n",
" <td>245</td>\n",
" <td>17</td>\n",
" <td>1595</td>\n",
" <td>82</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A113</th>\n",
" <td>5489</td>\n",
" <td>2091</td>\n",
" <td>4100</td>\n",
" <td>54</td>\n",
" <td>2606</td>\n",
" <td>48</td>\n",
" <td>1945</td>\n",
" <td>17</td>\n",
" <td>2038</td>\n",
" <td>1116</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A114</th>\n",
" <td>6762</td>\n",
" <td>1638</td>\n",
" <td>4336</td>\n",
" <td>1168</td>\n",
" <td>2821</td>\n",
" <td>3034</td>\n",
" <td>2036</td>\n",
" <td>74</td>\n",
" <td>747</td>\n",
" <td>2065</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A115</th>\n",
" <td>3045</td>\n",
" <td>4613</td>\n",
" <td>2301</td>\n",
" <td>50</td>\n",
" <td>21</td>\n",
" <td>67</td>\n",
" <td>1489</td>\n",
" <td>11</td>\n",
" <td>1336</td>\n",
" <td>1033</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A142</th>\n",
" <td>6205</td>\n",
" <td>2601</td>\n",
" <td>6372</td>\n",
" <td>38</td>\n",
" <td>2276</td>\n",
" <td>1196</td>\n",
" <td>1754</td>\n",
" <td>42</td>\n",
" <td>646</td>\n",
" <td>1169</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A144</th>\n",
" <td>6048</td>\n",
" <td>1892</td>\n",
" <td>4020</td>\n",
" <td>49</td>\n",
" <td>3</td>\n",
" <td>123</td>\n",
" <td>1556</td>\n",
" <td>2940</td>\n",
" <td>909</td>\n",
" <td>1583</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A149</th>\n",
" <td>5418</td>\n",
" <td>3267</td>\n",
" <td>3511</td>\n",
" <td>27</td>\n",
" <td>34</td>\n",
" <td>160</td>\n",
" <td>2035</td>\n",
" <td>20</td>\n",
" <td>227</td>\n",
" <td>1016</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A164</th>\n",
" <td>5120</td>\n",
" <td>2294</td>\n",
" <td>4328</td>\n",
" <td>1685</td>\n",
" <td>2681</td>\n",
" <td>49</td>\n",
" <td>2370</td>\n",
" <td>35</td>\n",
" <td>402</td>\n",
" <td>1592</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>A165</th>\n",
" <td>8504</td>\n",
" <td>2978</td>\n",
" <td>3906</td>\n",
" <td>838</td>\n",
" <td>2103</td>\n",
" <td>1158</td>\n",
" <td>2136</td>\n",
" <td>82</td>\n",
" <td>539</td>\n",
" <td>1051</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B1</th>\n",
" <td>4269</td>\n",
" <td>1217</td>\n",
" <td>3853</td>\n",
" <td>1624</td>\n",
" <td>2452</td>\n",
" <td>185</td>\n",
" <td>1358</td>\n",
" <td>30</td>\n",
" <td>145</td>\n",
" <td>1949</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B2</th>\n",
" <td>4397</td>\n",
" <td>6238</td>\n",
" <td>4624</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>41</td>\n",
" <td>1850</td>\n",
" <td>13</td>\n",
" <td>2524</td>\n",
" <td>1858</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B3</th>\n",
" <td>4499</td>\n",
" <td>2325</td>\n",
" <td>3842</td>\n",
" <td>703</td>\n",
" <td>819</td>\n",
" <td>24</td>\n",
" <td>1504</td>\n",
" <td>381</td>\n",
" <td>2208</td>\n",
" <td>2209</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B5</th>\n",
" <td>6126</td>\n",
" <td>5004</td>\n",
" <td>4399</td>\n",
" <td>43</td>\n",
" <td>2761</td>\n",
" <td>1418</td>\n",
" <td>1566</td>\n",
" <td>1569</td>\n",
" <td>453</td>\n",
" <td>1979</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B6</th>\n",
" <td>7020</td>\n",
" <td>2829</td>\n",
" <td>3916</td>\n",
" <td>46</td>\n",
" <td>691</td>\n",
" <td>119</td>\n",
" <td>1831</td>\n",
" <td>15</td>\n",
" <td>236</td>\n",
" <td>2451</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B7</th>\n",
" <td>5404</td>\n",
" <td>2192</td>\n",
" <td>3355</td>\n",
" <td>1505</td>\n",
" <td>2768</td>\n",
" <td>23</td>\n",
" <td>643</td>\n",
" <td>4</td>\n",
" <td>2670</td>\n",
" <td>750</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B8</th>\n",
" <td>4404</td>\n",
" <td>2921</td>\n",
" <td>5165</td>\n",
" <td>32</td>\n",
" <td>25</td>\n",
" <td>757</td>\n",
" <td>2117</td>\n",
" <td>22</td>\n",
" <td>1656</td>\n",
" <td>1563</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B13</th>\n",
" <td>5811</td>\n",
" <td>4303</td>\n",
" <td>4453</td>\n",
" <td>1474</td>\n",
" <td>1095</td>\n",
" <td>629</td>\n",
" <td>1581</td>\n",
" <td>16</td>\n",
" <td>2566</td>\n",
" <td>2502</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B14</th>\n",
" <td>3360</td>\n",
" <td>2793</td>\n",
" <td>1999</td>\n",
" <td>2</td>\n",
" <td>13</td>\n",
" <td>12</td>\n",
" <td>1229</td>\n",
" <td>2</td>\n",
" <td>128</td>\n",
" <td>1262</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B28</th>\n",
" <td>4141</td>\n",
" <td>3671</td>\n",
" <td>3974</td>\n",
" <td>52</td>\n",
" <td>4</td>\n",
" <td>37</td>\n",
" <td>2649</td>\n",
" <td>53</td>\n",
" <td>46</td>\n",
" <td>1989</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B29</th>\n",
" <td>2880</td>\n",
" <td>5350</td>\n",
" <td>1185</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" <td>7</td>\n",
" <td>1284</td>\n",
" <td>16</td>\n",
" <td>2564</td>\n",
" <td>1146</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B36</th>\n",
" <td>3805</td>\n",
" <td>4566</td>\n",
" <td>3895</td>\n",
" <td>5</td>\n",
" <td>6</td>\n",
" <td>8</td>\n",
" <td>818</td>\n",
" <td>40</td>\n",
" <td>1438</td>\n",
" <td>2241</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B37</th>\n",
" <td>4168</td>\n",
" <td>3984</td>\n",
" <td>2710</td>\n",
" <td>43</td>\n",
" <td>356</td>\n",
" <td>19</td>\n",
" <td>1451</td>\n",
" <td>61</td>\n",
" <td>2142</td>\n",
" <td>1341</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B94</th>\n",
" <td>4543</td>\n",
" <td>5597</td>\n",
" <td>3425</td>\n",
" <td>1449</td>\n",
" <td>2380</td>\n",
" <td>65</td>\n",
" <td>1999</td>\n",
" <td>57</td>\n",
" <td>323</td>\n",
" <td>1038</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B99</th>\n",
" <td>2804</td>\n",
" <td>5191</td>\n",
" <td>1559</td>\n",
" <td>5</td>\n",
" <td>23</td>\n",
" <td>13</td>\n",
" <td>108</td>\n",
" <td>888</td>\n",
" <td>563</td>\n",
" <td>572</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B103</th>\n",
" <td>5728</td>\n",
" <td>2204</td>\n",
" <td>4902</td>\n",
" <td>36</td>\n",
" <td>3089</td>\n",
" <td>851</td>\n",
" <td>2361</td>\n",
" <td>20</td>\n",
" <td>776</td>\n",
" <td>1756</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B106</th>\n",
" <td>3827</td>\n",
" <td>5523</td>\n",
" <td>3016</td>\n",
" <td>34</td>\n",
" <td>33</td>\n",
" <td>34</td>\n",
" <td>2246</td>\n",
" <td>9</td>\n",
" <td>437</td>\n",
" <td>727</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B111</th>\n",
" <td>6030</td>\n",
" <td>1556</td>\n",
" <td>6066</td>\n",
" <td>37</td>\n",
" <td>2052</td>\n",
" <td>208</td>\n",
" <td>1839</td>\n",
" <td>1718</td>\n",
" <td>475</td>\n",
" <td>653</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B114</th>\n",
" <td>4950</td>\n",
" <td>4983</td>\n",
" <td>5082</td>\n",
" <td>113</td>\n",
" <td>2801</td>\n",
" <td>803</td>\n",
" <td>1769</td>\n",
" <td>1473</td>\n",
" <td>1537</td>\n",
" <td>2117</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B115</th>\n",
" <td>4749</td>\n",
" <td>5993</td>\n",
" <td>3764</td>\n",
" <td>46</td>\n",
" <td>2</td>\n",
" <td>30</td>\n",
" <td>2045</td>\n",
" <td>33</td>\n",
" <td>580</td>\n",
" <td>1132</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B120</th>\n",
" <td>4471</td>\n",
" <td>2126</td>\n",
" <td>4085</td>\n",
" <td>2065</td>\n",
" <td>90</td>\n",
" <td>829</td>\n",
" <td>2475</td>\n",
" <td>15</td>\n",
" <td>1555</td>\n",
" <td>1099</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B127</th>\n",
" <td>5868</td>\n",
" <td>4429</td>\n",
" <td>6041</td>\n",
" <td>21</td>\n",
" <td>22</td>\n",
" <td>136</td>\n",
" <td>1649</td>\n",
" <td>1711</td>\n",
" <td>554</td>\n",
" <td>2072</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B132</th>\n",
" <td>6561</td>\n",
" <td>2598</td>\n",
" <td>6188</td>\n",
" <td>27</td>\n",
" <td>30</td>\n",
" <td>159</td>\n",
" <td>2018</td>\n",
" <td>1456</td>\n",
" <td>389</td>\n",
" <td>1868</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B141</th>\n",
" <td>4910</td>\n",
" <td>4222</td>\n",
" <td>3960</td>\n",
" <td>55</td>\n",
" <td>1027</td>\n",
" <td>22</td>\n",
" <td>1999</td>\n",
" <td>11</td>\n",
" <td>548</td>\n",
" <td>1853</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B142</th>\n",
" <td>4492</td>\n",
" <td>4925</td>\n",
" <td>4403</td>\n",
" <td>35</td>\n",
" <td>2641</td>\n",
" <td>41</td>\n",
" <td>2027</td>\n",
" <td>9</td>\n",
" <td>1815</td>\n",
" <td>2277</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B143</th>\n",
" <td>2812</td>\n",
" <td>5753</td>\n",
" <td>2841</td>\n",
" <td>8</td>\n",
" <td>4</td>\n",
" <td>10</td>\n",
" <td>180</td>\n",
" <td>46</td>\n",
" <td>1508</td>\n",
" <td>1069</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B152</th>\n",
" <td>5303</td>\n",
" <td>1261</td>\n",
" <td>2746</td>\n",
" <td>884</td>\n",
" <td>1587</td>\n",
" <td>28</td>\n",
" <td>2134</td>\n",
" <td>19</td>\n",
" <td>1169</td>\n",
" <td>1226</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B156</th>\n",
" <td>4205</td>\n",
" <td>1822</td>\n",
" <td>3808</td>\n",
" <td>13</td>\n",
" <td>2223</td>\n",
" <td>38</td>\n",
" <td>1134</td>\n",
" <td>25</td>\n",
" <td>321</td>\n",
" <td>1601</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B158</th>\n",
" <td>3430</td>\n",
" <td>2478</td>\n",
" <td>3856</td>\n",
" <td>3</td>\n",
" <td>6</td>\n",
" <td>15</td>\n",
" <td>1487</td>\n",
" <td>47</td>\n",
" <td>2169</td>\n",
" <td>839</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>B164</th>\n",
" <td>4563</td>\n",
" <td>4868</td>\n",
" <td>3211</td>\n",
" <td>218</td>\n",
" <td>1473</td>\n",
" <td>64</td>\n",
" <td>1797</td>\n",
" <td>8</td>\n",
" <td>159</td>\n",
" <td>1278</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>60 rows × 5620 columns</p>\n",
"</div>\n",
" <div class=\"colab-df-buttons\">\n",
"\n",
" <div class=\"colab-df-container\">\n",
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-21a75b2f-37d2-4aac-9277-f6772a8d1a15')\"\n",
" title=\"Convert this dataframe to an interactive table.\"\n",
" style=\"display:none;\">\n",
"\n",
" <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
" <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
" </svg>\n",
" </button>\n",
"\n",
" <style>\n",
" .colab-df-container {\n",
" display:flex;\n",
" gap: 12px;\n",
" }\n",
"\n",
" .colab-df-convert {\n",
" background-color: #E8F0FE;\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: #1967D2;\n",
" height: 32px;\n",
" padding: 0 0 0 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-convert:hover {\n",
" background-color: #E2EBFA;\n",
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: #174EA6;\n",
" }\n",
"\n",
" .colab-df-buttons div {\n",
" margin-bottom: 4px;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert {\n",
" background-color: #3B4455;\n",
" fill: #D2E3FC;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert:hover {\n",
" background-color: #434B5C;\n",
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
" fill: #FFFFFF;\n",
" }\n",
" </style>\n",
"\n",
" <script>\n",
" const buttonEl =\n",
" document.querySelector('#df-21a75b2f-37d2-4aac-9277-f6772a8d1a15 button.colab-df-convert');\n",
" buttonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"\n",
" async function convertToInteractive(key) {\n",
" const element = document.querySelector('#df-21a75b2f-37d2-4aac-9277-f6772a8d1a15');\n",
" const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
" if (!dataTable) return;\n",
"\n",
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
" + ' to learn more about interactive tables.';\n",
" element.innerHTML = '';\n",
" dataTable['output_type'] = 'display_data';\n",
" await google.colab.output.renderOutput(dataTable, element);\n",
" const docLink = document.createElement('div');\n",
" docLink.innerHTML = docLinkHtml;\n",
" element.appendChild(docLink);\n",
" }\n",
" </script>\n",
" </div>\n",
"\n",
"\n",
"<div id=\"df-7a9b47d2-2762-49b3-aad0-7e6936d9e1fb\">\n",
" <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-7a9b47d2-2762-49b3-aad0-7e6936d9e1fb')\"\n",
" title=\"Suggest charts\"\n",
" style=\"display:none;\">\n",
"\n",
"<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
" width=\"24px\">\n",
" <g>\n",
" <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
" </g>\n",
"</svg>\n",
" </button>\n",
"\n",
"<style>\n",
" .colab-df-quickchart {\n",
" --bg-color: #E8F0FE;\n",
" --fill-color: #1967D2;\n",
" --hover-bg-color: #E2EBFA;\n",
" --hover-fill-color: #174EA6;\n",
" --disabled-fill-color: #AAA;\n",
" --disabled-bg-color: #DDD;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-quickchart {\n",
" --bg-color: #3B4455;\n",
" --fill-color: #D2E3FC;\n",
" --hover-bg-color: #434B5C;\n",
" --hover-fill-color: #FFFFFF;\n",
" --disabled-bg-color: #3B4455;\n",
" --disabled-fill-color: #666;\n",
" }\n",
"\n",
" .colab-df-quickchart {\n",
" background-color: var(--bg-color);\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: var(--fill-color);\n",
" height: 32px;\n",
" padding: 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-quickchart:hover {\n",
" background-color: var(--hover-bg-color);\n",
" box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: var(--button-hover-fill-color);\n",
" }\n",
"\n",
" .colab-df-quickchart-complete:disabled,\n",
" .colab-df-quickchart-complete:disabled:hover {\n",
" background-color: var(--disabled-bg-color);\n",
" fill: var(--disabled-fill-color);\n",
" box-shadow: none;\n",
" }\n",
"\n",
" .colab-df-spinner {\n",
" border: 2px solid var(--fill-color);\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" animation:\n",
" spin 1s steps(1) infinite;\n",
" }\n",
"\n",
" @keyframes spin {\n",
" 0% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" border-left-color: var(--fill-color);\n",
" }\n",
" 20% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 30% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 40% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 60% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 80% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" 90% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" }\n",
"</style>\n",
"\n",
" <script>\n",
" async function quickchart(key) {\n",
" const quickchartButtonEl =\n",
" document.querySelector('#' + key + ' button');\n",
" quickchartButtonEl.disabled = true; // To prevent multiple clicks.\n",
" quickchartButtonEl.classList.add('colab-df-spinner');\n",
" try {\n",
" const charts = await google.colab.kernel.invokeFunction(\n",
" 'suggestCharts', [key], {});\n",
" } catch (error) {\n",
" console.error('Error during call to suggestCharts:', error);\n",
" }\n",
" quickchartButtonEl.classList.remove('colab-df-spinner');\n",
" quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
" }\n",
" (() => {\n",
" let quickchartButtonEl =\n",
" document.querySelector('#df-7a9b47d2-2762-49b3-aad0-7e6936d9e1fb button');\n",
" quickchartButtonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
" })();\n",
" </script>\n",
"</div>\n",
" </div>\n",
" </div>\n"
]
},
"metadata": {},
"execution_count": 61
}
]
},
{
"cell_type": "code",
"source": [
"X = data_encoded.drop(['group_B'], axis=1)\n",
"\n",
"# Reset the index to default integer index\n",
"X = X.reset_index(drop=True)\n",
"\n",
"y = data_encoded['group_B']\n"
],
"metadata": {
"id": "MPe720hX0Urr"
},
"execution_count": 47,
"outputs": []
},
{
"cell_type": "code",
"source": [
"X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3)"
],
"metadata": {
"id": "tzZUGkGY00O4"
},
"execution_count": 51,
"outputs": []
},
{
"cell_type": "code",
"source": [
"from sklearn.ensemble import RandomForestClassifier"
],
"metadata": {
"id": "gLqhcaYM1Gwm"
},
"execution_count": 53,
"outputs": []
},
{
"cell_type": "code",
"source": [
"rfc= RandomForestClassifier(n_estimators=200)"
],
"metadata": {
"id": "Q_pyPm2X1Sb_"
},
"execution_count": 54,
"outputs": []
},
{
"cell_type": "code",
"source": [
"rfc.fit(X_train, y_train)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 75
},
"id": "4XotgjTi1oo1",
"outputId": "7bbc365b-dcb4-46dd-a7de-5bc5dfd33e8d"
},
"execution_count": 55,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"RandomForestClassifier(n_estimators=200)"
],
"text/html": [
"<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestClassifier(n_estimators=200)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestClassifier</label><div class=\"sk-toggleable__content\"><pre>RandomForestClassifier(n_estimators=200)</pre></div></div></div></div></div>"
]
},
"metadata": {},
"execution_count": 55
}
]
},
{
"cell_type": "code",
"source": [
"rfc_prediction= rfc.predict(X_test)"
],
"metadata": {
"id": "jpfWuJtX1swD"
},
"execution_count": 56,
"outputs": []
},
{
"cell_type": "code",
"source": [
"#usinf random forest of classifier\n",
"from sklearn.metrics import confusion_matrix, classification_report"
],
"metadata": {
"id": "pB1OcSP91xCC"
},
"execution_count": 57,
"outputs": []
},
{
"cell_type": "code",
"source": [
"print(confusion_matrix(y_test, rfc_prediction))\n",
"print(classification_report(y_test, rfc_prediction))"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "er3BrzEL1z7v",
"outputId": "cec99d69-29f3-4cd7-9a72-094412b1ce2f"
},
"execution_count": 58,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"[[6 1]\n",
" [4 7]]\n",
" precision recall f1-score support\n",
"\n",
" 0 0.60 0.86 0.71 7\n",
" 1 0.88 0.64 0.74 11\n",
"\n",
" accuracy 0.72 18\n",
" macro avg 0.74 0.75 0.72 18\n",
"weighted avg 0.77 0.72 0.72 18\n",
"\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"Accuracy: The overall accuracy of your model is 0.72, which means it correctly predicted the class for 72% of the instances in the test set.\n",
"\n",
"Precision: For class 0, the precision is 0.60, and for class 1, the precision is 0.88. Precision measures the accuracy of the positive predictions. Higher precision indicates fewer false positives.\n",
"\n",
"Recall (Sensitivity): For class 0, the recall is 0.86, and for class 1, the recall is 0.64. Recall measures the ability of the model to capture all the positive instances. Higher recall indicates fewer false negatives.\n",
"\n",
"F1-Score: The F1-score is the harmonic mean of precision and recall. It provides a balance between precision and recall. For class 0, the F1-score is 0.71, and for class 1, the F1-score is 0.74."
],
"metadata": {
"id": "yI3qedKO22xB"
}
},
{
"cell_type": "code",
"source": [],
"metadata": {
"id": "0uvL3vs23Eu6"
},
"execution_count": null,
"outputs": []
}
],
"metadata": {
"colab": {
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
},
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 0
}