Powerful, privacy-focused DNA analysis using advanced ML algorithms designed for both researchers and individuals.
Our cutting-edge technology provides unparalleled accuracy and insights while keeping your data secure.
Your genetic data never leaves your device. All computation is performed locally using our advanced on-device ML models.
Identify open reading frames, high coverage regions, protein sequences, and transcription factor binding sites with precision.
Our cutting-edge neural networks provide insights and pattern recognition beyond traditional analytics capabilities.
A simple three-step process to analyze your DNA sequences
Upload your DNA sequence file in FASTA or FASTQ format. Your data stays securely on your device.
Choose from a variety of analysis modules, including ORF detection, GC content analysis, and promoter identification.
Receive detailed insights instantly with visualizations and downloadable reports for your research.
Comprehensive tools designed for researchers, students, and enthusiasts
Scans DNA for start and stop codons to identify potential protein-coding sequences (ORFs). Recognizes canonical start/stop codons to pinpoint putative proteins within a genome.
Calculates and visualizes GC content across the sequence, highlighting GC-rich regions often associated with gene density and regulatory elements.
Scans for known core promoter motifs (e.g., TATA box, BRE, INR, DPE). Detecting these elements helps locate potential gene start sites and regulatory regions.
Join thousands of researchers and scientists using DNAnalyzer for their genetic analysis needs.
Limitation of Liability: The DNAnalyzer tool is intended for research, educational, and informational purposes only. The machine learning-based DNA analysis provides computational predictions that should not be used for medical diagnosis, clinical interpretation, or treatment decisions. DNAnalyzer is not a substitute for professional medical advice, diagnosis, or treatment.
Analysis Limitations: DNAnalyzer's computational analysis is based on algorithmic predictions using machine learning models trained on public datasets. Results may vary in accuracy. The absence of identified features does not rule out their presence, and identification does not guarantee biological relevance.
Privacy Notice: While DNAnalyzer processes data locally, users should exercise caution with sensitive genetic information. We recommend against uploading identifiable human genomic data. DNAnalyzer is not responsible for privacy implications from user actions.
Research Use Only: Results should be experimentally validated before use in publications. Citations should acknowledge its computational nature and limitations.
No Warranty: DNAnalyzer is provided "as is" without warranty of any kind. The creators and contributors disclaim all warranties. In no event shall creators/contributors be liable for any claim, damages, or liability arising from the use of this software.
Revolutionizing DNA analysis through advanced machine learning and efficient computation
DNAnalyzer aims to democratize DNA analysis by providing powerful, accessible tools for researchers, clinicians, and scientists worldwide. We're committed to advancing genomic research through innovative technology and open collaboration.
Leveraging cutting-edge technology and machine learning to provide accurate, comprehensive DNA analysis capabilities.
Making advanced DNA analysis tools available to researchers and clinicians worldwide through an intuitive interface.
Ensuring user data remains secure and private with our on-device processing approach and transparent practices.
Maintaining the highest standards of accuracy and reliability through extensive testing and validation.
Identifies proteins, amino acids, start and stop codons, high coverage regions, and regulatory elements with high accuracy.
Utilizes advanced algorithms and ML models to process and analyze DNA sequences efficiently.
Built on modern technology stack ensuring fast processing of large sequences and reliable performance.
All processing happens on your device, ensuring your genetic data remains private and secure.
The evolution of DNAnalyzer from concept to cutting-edge DNA analysis platform
Piyush Acharya initiates DNAnalyzer as a response to privacy concerns and high costs in the field of personal genomics.
Collaborator @LimesKey joins, and the project attracts its first contributors from the computational biology community.
DNAnalyzer becomes a fiscally sponsored 501(c)(3) nonprofit organization (EIN: 81-2908499) to advance DNA analysis technology.
Launch of machine learning components with the "DNAI" model, significantly enhancing analysis capabilities.
Release of the comprehensive web interface, making DNA analysis accessible to researchers worldwide.
Community expands to 46+ contributors, including scientists from leading research institutions around the world.
Founder & Lead Developer
Initiated DNAnalyzer to democratize genome analysis and make it accessible while ensuring privacy.
Co-Lead & ML Specialist
Leads the machine learning initiatives and computational biology aspects of DNAnalyzer.
Our next-generation neural networks will process genotyped data from consumer DNA tests with unprecedented accuracy.
Integration with the DIAMOND sequence aligner will deliver up to 20,000x faster sequence alignment compared to traditional methods.
A high-performance SQL database architecture specially designed for genomic data integration across thousands of species.
Upcoming modules for repeat element detection, CRISPR site identification, and comprehensive protein domain searches.
Contribute to the future of DNA analysis technology and help us make genomic insights accessible to all.
Drag and drop your sequence file here or click to browse
Supported formats: .fa, .fasta, .fastq, .txt `; // Disable analyze button document.getElementById('analyzeBtn').disabled = true; } /** * Initialize tab functionality */ function initTabs() { const tabButtons = document.querySelectorAll('.tab-btn'); const tabContents = document.querySelectorAll('.tab-content'); tabButtons.forEach(button => { button.addEventListener('click', function() { const tabId = this.getAttribute('data-tab'); // Remove active class from all tabs tabButtons.forEach(btn => btn.classList.remove('active')); tabContents.forEach(content => content.classList.remove('active')); // Add active class to current tab this.classList.add('active'); document.getElementById(tabId).classList.add('active'); }); }); } /** * Initialize modal functionality */ function initModals() { // Export modal const exportModal = document.getElementById('exportModal'); const closeExportModal = document.getElementById('closeExportModal'); if (exportModal && closeExportModal) { document.getElementById('exportBtn').addEventListener('click', function() { exportModal.classList.add('active'); }); closeExportModal.addEventListener('click', function() { exportModal.classList.remove('active'); }); // Close modal when clicking outside exportModal.addEventListener('click', function(e) { if (e.target === exportModal) { exportModal.classList.remove('active'); } }); // Handle export format selection document.querySelectorAll('.export-option').forEach(option => { option.addEventListener('click', function() { const format = this.getAttribute('data-format'); downloadResults(format); exportModal.classList.remove('active'); }); }); } // Help modal const helpModal = document.getElementById('helpModal'); const closeHelpModal = document.getElementById('closeHelpModal'); if (helpModal && closeHelpModal) { closeHelpModal.addEventListener('click', function() { helpModal.classList.remove('active'); }); // Close modal when clicking outside helpModal.addEventListener('click', function(e) { if (e.target === helpModal) { helpModal.classList.remove('active'); } }); } } /** * Show the help modal */ function showHelpModal() { const helpModal = document.getElementById('helpModal'); if (helpModal) { helpModal.classList.add('active'); } } /** * Import a sample DNA file for demonstration */ function importSample() { // Create a mock file from a predefined DNA sequence const sampleDNA = '>Sample DNA Sequence\nATGGCCTAGCTAGCTGATCGATCGATCGATCGATCGATCGATCGATCGATCGACTGATCTAGCATCGATCGATCGAATCGCTAGCTAGCATCGATCGATCGATCGATCGACTAGCTAGCTATCAGCTAGCTAGCTAGCTAGCTCGATCGATCGATCGATCGATCGACTAGCTAGCAGACTAGCTAGCATCATCGACTAGCTGATGATGGATTAGCATCGATCGATAGCTACGAT'; const blob = new Blob([sampleDNA], { type: 'text/plain' }); const file = new File([blob], 'sample_dna.fa', { type: 'text/plain' }); // Process the sample file handleFileSelection(file); } /** * Reset all analysis options to default */ function clearOptions() { document.querySelectorAll('input[name="analysis-option"]').forEach(checkbox => { // Set default checkboxes (first 5) to checked, others to unchecked const isDefault = ['sequence-length', 'gc-content', 'base-composition', 'start-codons', 'stop-codons'].includes(checkbox.value); checkbox.checked = isDefault; }); showNotification('Analysis options reset to default.', 'success'); } /** * Check API connectivity status */ function checkAPIStatus() { const apiStatus = document.getElementById('apiStatus'); if (!apiStatus) return; // Check if API client is available if (typeof DNAnalyzerAPI === 'undefined') { apiStatus.innerHTML = `Analyzing DNA sequence...
| Frame | Direction | Genes Found |
|---|---|---|
| ${frame.frame} | ${frame.direction} | ${frame.genes.length} |
| # | Length | Sequence (First 30 aa) |
|---|---|---|
| ${index + 1} | ${protein.length || proteinSeq.length} | ${displaySeq} |
Drag and drop your genetic data file here or click to browse
Supported formats: .txt, .csv, .vcf (23andMe, AncestryDNA, etc.) `; // Disable analyze button geneticAnalyzeBtn.disabled = true; // Clear stored file window.selectedGeneticFile = null; } /** * Initialize test options selection */ function initTestOptions() { const testOptions = document.querySelectorAll('.test-option'); testOptions.forEach(option => { option.addEventListener('click', function() { this.classList.toggle('selected'); }); }); } /** * Initialize consent checkbox */ function initConsentCheckbox() { const consentCheckbox = document.getElementById('consentCheckbox'); const geneticAnalyzeBtn = document.getElementById('geneticAnalyzeBtn'); if (!consentCheckbox || !geneticAnalyzeBtn) return; consentCheckbox.addEventListener('change', function() { // Enable analyze button only if both file is selected and consent is checked geneticAnalyzeBtn.disabled = !(this.checked && window.selectedGeneticFile); }); } /** * Add sample data button to the genetic testing tab */ function addSampleDataButton() { const uploadFormats = document.querySelector('#geneticFileDropZone .upload-formats'); if (!uploadFormats) return; const sampleBtn = document.createElement('button'); sampleBtn.className = 'btn btn-secondary btn-sm sample-data-btn'; sampleBtn.innerHTML = ' Load Sample Data'; sampleBtn.addEventListener('click', function(e) { e.stopPropagation(); loadSampleGeneticData(); }); uploadFormats.insertAdjacentElement('afterend', sampleBtn); } /** * Load sample genetic data for demonstration */ function loadSampleGeneticData() { // Create a sample file const sampleData = createSampleGeneticData(); const blob = new Blob([sampleData], { type: 'text/plain' }); const file = new File([blob], 'sample-genetic-data.txt', { type: 'text/plain' }); // Process the sample file handleGeneticFileSelection(file); // Pre-fill form with sample data document.getElementById('gender').value = 'male'; document.getElementById('age').value = '35'; document.getElementById('ethnicity').value = 'european'; // Select all test options document.querySelectorAll('.test-option').forEach(option => { option.classList.add('selected'); }); // Check consent checkbox const consentCheckbox = document.getElementById('consentCheckbox'); if (consentCheckbox) { consentCheckbox.checked = true; // Trigger change event const event = new Event('change'); consentCheckbox.dispatchEvent(event); } // Show notification showNotification('Sample genetic data loaded successfully!', 'success'); } /** * Create sample genetic data in 23andMe format * @returns {string} - Sample genetic data */ function createSampleGeneticData() { return `# This data is for demonstration purposes only # Sample genetic data in 23andMe format # This file contains a small subset of SNPs for educational purposes # rsid\tchromosome\tposition\tgenotype rs4477212\t1\t82154\tAA rs3094315\t1\t752566\tAG rs12562034\t1\t768448\tGG rs3934834\t1\t1005806\tCC rs3737728\t1\t1011278\tAG rs11260588\t1\t1021454\tGG rs2905036\t1\t1021915\tCC rs2973725\t1\t1025314\tAG rs2980300\t1\t1041900\tTT rs4475691\t1\t1051029\tCC rs11497407\t1\t1061166\tAA rs11260603\t1\t1070488\tGG rs2341354\t1\t1088657\tAG rs2341355\t1\t1088761\tTT rs1320571\t1\t1089876\tAG rs11260614\t1\t1093709\tAA rs2978398\t1\t1099810\tGG rs2820323\t1\t1105366\tAG rs2887286\t1\t1110240\tAA rs1815606\t1\t1110294\tCC rs2978381\t1\t1114147\tGG rs7526076\t1\t1117281\tAA rs2887286\t1\t1110240\tAA rs1815606\t1\t1110294\tCC`; } /** * Handle genetic analysis process */ function handleGeneticAnalysis() { // Get selected file const file = window.selectedGeneticFile; if (!file) { showNotification('Please upload a genetic data file first.', 'warning'); return; } // Get selected tests const selectedTests = []; document.querySelectorAll('.test-option.selected').forEach(option => { selectedTests.push(option.dataset.test); }); if (selectedTests.length === 0) { showNotification('Please select at least one test to perform.', 'warning'); return; } // Get form data const formData = { gender: document.getElementById('gender').value, age: document.getElementById('age').value, ethnicity: document.getElementById('ethnicity').value }; // Start analysis showNotification('Starting genetic analysis...', 'info'); // Show loading state const analyzeBtn = document.getElementById('geneticAnalyzeBtn'); if (analyzeBtn) { analyzeBtn.disabled = true; analyzeBtn.innerHTML = ' Analyzing...'; } // Simulate processing delay setTimeout(() => { // Perform analysis const results = performGeneticAnalysis(file, selectedTests, formData); // Display results displayGeneticResults(results); // Reset button if (analyzeBtn) { analyzeBtn.disabled = false; analyzeBtn.innerHTML = ' Run Genetic Tests'; } }, 2000); } /** * Perform genetic analysis on the provided file * @param {File} file - Genetic data file * @param {Array} selectedTests - Array of selected test types * @param {Object} formData - Personal information form data * @returns {Object} - Analysis results */ function performGeneticAnalysis(file, selectedTests, formData) { // This is a simplified demonstration that returns pre-defined results // In a real implementation, this would parse the file and analyze the data // Sample results for demonstration return { summary: { totalSnps: 24, analyzedSnps: 24, coverage: "0.001%", quality: "High" }, health: { risks: [ { condition: "Type 2 Diabetes", risk: "Slightly Elevated", snps: ["rs4477212", "rs3094315"], confidence: "Medium" }, { condition: "Coronary Heart Disease", risk: "Average", snps: ["rs12562034", "rs3934834"], confidence: "High" }, { condition: "Age-related Macular Degeneration", risk: "Lower", snps: ["rs3737728"], confidence: "Medium" }, { condition: "Alzheimer's Disease", risk: "Average", snps: ["rs11260588", "rs2905036"], confidence: "Low" } ] }, traits: { physical: [ { trait: "Eye Color", prediction: "Brown", snps: ["rs2973725", "rs2980300"], confidence: "High" }, { trait: "Hair Type", prediction: "Straight", snps: ["rs4475691"], confidence: "Medium" }, { trait: "Earwax Type", prediction: "Wet", snps: ["rs11497407"], confidence: "High" }, { trait: "Lactose Intolerance", prediction: "Likely Tolerant", snps: ["rs11260603"], confidence: "Medium" } ], behavioral: [ { trait: "Caffeine Metabolism", prediction: "Fast Metabolizer", snps: ["rs2341354"], confidence: "Medium" }, { trait: "Alcohol Flush Reaction", prediction: "No Reaction", snps: ["rs2341355"], confidence: "High" } ] }, ancestry: { composition: [ { population: "Northern European", percentage: 68 }, { population: "Southern European", percentage: 12 }, { population: "Eastern European", percentage: 8 }, { population: "Northwest Asian", percentage: 6 }, { population: "Other", percentage: 6 } ], haplogroups: { maternal: "H1c", paternal: "R1b1b2a1a" } }, carrier: { conditions: [ { condition: "Cystic Fibrosis", status: "Not a Carrier", snps: ["rs1320571"], confidence: "High" }, { condition: "Sickle Cell Anemia", status: "Not a Carrier", snps: ["rs11260614"], confidence: "High" }, { condition: "Tay-Sachs Disease", status: "Not a Carrier", snps: ["rs2978398"], confidence: "Medium" }, { condition: "Phenylketonuria", status: "Not a Carrier", snps: ["rs2820323"], confidence: "High" } ] } }; } /** * Display genetic analysis results * @param {Object} results - Analysis results */ function displayGeneticResults(results) { // Get results section and make it visible const resultsSection = document.getElementById('resultsSection'); if (!resultsSection) return; resultsSection.style.display = 'block'; resultsSection.scrollIntoView({ behavior: 'smooth' }); // Update summary section const summaryElement = document.querySelector('.results-summary'); if (summaryElement) { summaryElement.innerHTML = `Note: These results are for educational purposes only and should not be used for medical decisions.
Note: These results are for educational purposes only and should not be used for family planning decisions.
Analyze DNA sequences with advanced machine learning tools
Drag and drop your sequence file here or click to browse
Supported formats: .fa, .fasta, .fastq, .txtSupported formats: .fastq, .fasta, .sam, .bam, .vcf
Or try with a sample file:
Process multiple DNA sequence files simultaneously for high-throughput analysis. Sign up for our newsletter to be notified when this feature launches.