[45ad7e]: / singlecellmultiomics / utils / organoidTools.py

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#!/usr/env python3
import collections
import itertools
import string
import math
def cellToReplicatePlateAndPassage( cellName ):
#' APKS3-P23-1-1s_cell18.bam'
replicate = 'APKS'+ cellName.split('-')[0].replace('APKS','').replace('P','25')
if 'APKS1P25' in cellName:
passage=25
replicate='APKS1'
plate= '-'.join( cellName.split('_')[0].split('-')[1].replace('NLAP','').replace('L','' ).replace('s',''))
else:
passage = int(cellName.split('-')[1].replace('P',''))
plate= '-'.join( [x.replace('s','' ) for x in cellName.split('_' )[0].split('-')[2:]])
#plate= '.'.join( cellName.split('_')[0].split('-')[1:] )
return( replicate, plate, passage )
def chrom_sort_human(l):
residual = l.replace('chr','').replace('P','').strip()
rest = 0
if '_' in residual:
allele=None
if residual.count('_')==1:
pre, aft = residual.split('_')
else:
pre, allele, aft = residual.split('_')
if allele=='A':
rest = 0
else:
rest = 1
if '-' in aft:
rest=int(aft.split('-')[0])
residual = pre
try:
return (int(residual), rest)
except Exception as e:
return(100, rest)
def chrom_sort_human2(l):
residual = l.replace('chr','').replace('P','').replace('-','_').strip()
rest = 0
if '_' in residual:
allele=None
if residual.count('_')==1:
pre, aft = residual.split('_')
else:
pre, allele, aft = residual.split('_')
if allele=='A':
rest = 0
else:
rest = 1
if '-' in aft:
rest=int(aft.split('-')[0])
residual = pre
try:
return (int(residual), rest)
except Exception as e:
return(100, rest)
def chromIsAllelic(chrom):
return chrom.endswith('_A') or chrom.endswith('_B')
def cellToReplicatePassagePlateAndCell( cellName ):
if cellName.count('_')==3: # was alreaddy formatted:
parts = cellName.split('_')
replicate = parts[0]
passage = int(parts[1])
plate=parts[2]
cell=int(parts[3].replace('cell',''))
else:
#' APKS3-P23-1-1s_cell18.bam'
#for replicate in ['APKS','APK','AP','A']:
if cellName.startswith('APKS'):
replicate = 'APKS'+ cellName.split('-')[0].replace('APKS','')
if 'APKS1P25' in cellName:
replicate=replicate.replace('P','25')
else:
replicate = cellName.split('-')[0]
if 'APKS1P25' in cellName:
passage=25
replicate='APKS1'
plate= '-'.join( cellName.split('_')[0].split('-')[1].replace('NLAP','').replace('L','' ).replace('s',''))
else:
passage = int(cellName.split('-')[1].replace('P',''))
plate= '-'.join( [x.replace('s','' ) for x in cellName.split('_' )[0].split('-')[2:]])
plate = plate.replace('NLAP','').replace('L','-' )
#plate= '.'.join( cellName.split('_')[0].split('-')[1:] )
if 'cell' in cellName:
cell = int(cellName.split('cell')[-1])
else:
cell = int(cellName.split('_')[-1])
return( replicate, passage, plate, cell )
##
def bulkNameToReplicatePlateAndPassage( bulkSampleName ):
#' APKS3-P23-1-1s_cell18.bam'
try:
if bulkSampleName.startswith('APKS') :
replicate = 'APKS'+ bulkSampleName.split('-')[0].replace('APKS','').replace('P','25')
if 'APKS1P25' in bulkSampleName:
passage=25
replicate='APKS1'
plate= '-'.join( bulkSampleName.split('_')[0].split('-')[1].replace('NLAP','').replace('L','' ).replace('s',''))
else:
rawPasssage = bulkSampleName.split('-')[1].replace('P','').replace('G','')
passage=None
try:
passage = int(rawPasssage)
except Exception:
print(f'Could not parse {rawPasssage}')
plate= '-'.join( [x.replace('s','' ) for x in bulkSampleName.split('_' )[0].split('-')[2:]])
return( replicate, plate, passage )
else:
replicate = None
if bulkSampleName.startswith('APK'):
replicate ='APK'
elif bulkSampleName.startswith('AP'):
replicate ='AP'
elif bulkSampleName.startswith('A'):
replicate ='A'
elif bulkSampleName.startswith('WT'):
replicate ='WT'
else:
raise ValueError('Unkown replicate name')
parts = bulkSampleName.replace(replicate, '').split('_')
passage = int(parts[-1].replace('G',''))
plate = None
return( replicate, plate, passage )
except Exception as e:
raise ValueError(f"Could not parse: {bulkSampleName}")
def cellNameToFacsName( df, library, returnPlateType=False ):
well2index = collections.defaultdict(dict)
index2well = collections.defaultdict(dict)
rows = string.ascii_uppercase[:16]
columns = range(1,25)
for ci in range(1,385):
i = ci-1
rowIndex = math.floor( i/len(columns) )
row = rows[rowIndex]
column = columns[i%len(columns)]
well2index[384][(f'{row}{column}',1)] = ci
index2well[384][ci, 1] = (f'{row}{column}')
w2i96 = {}
for ci in range(1,97): # barcode
i = (ci-1)*2
initRow = math.floor( i/len(columns) )*2
initCol = i%len(columns)
for lib in range(1,5):
i = (ci-1)
column = columns[initCol+(lib==2 or lib==4)]
row = rows[initRow+(lib>=3)]
well2index[96][(f'{row}{column}', lib)] = ci
index2well[96][ci, lib] = (f'{row}{column}')
plateMap = {}
for replicate, passage, plate, cell in df.index:
verdict = 96 if plate.count('-')>0 else 384
plateName = (replicate, passage, plate)
if not plateName in plateMap:
plateMap[plateName] = verdict
elif plateMap[plateName]==384 and verdict==96:
plateMap[plateName]=96
remapped = []
print(verdict)
#APKS1_10_1_A1
if returnPlateType:
plateTypes = []
for replicate, passage, plate, cell in df.index:
libary =int( plate.split('-')[0])
plateType = plateMap[(replicate, passage, plate)]
if returnPlateType:
plateTypes.append(plateType)
#cell = int(cell.replace('cell',''))
well = index2well[plateType][cell, library]
remapped.append(f'{replicate}_{passage}_{plate}_{well}')
if returnPlateType:
return remapped, plateTypes
return remapped