Portfolio

DNA Analysis Tool

A sophisticated DNA sequence analysis tool that provides comprehensive genetic insights, health traits analysis, and personalized recommendations through both interactive dashboards and detailed reports.

🧬 Key Features

Genetic Analysis

• Comprehensive SNP (Single Nucleotide Polymorphism) analysis
• Chromosome variant mapping and visualization
• Genotype validation and quality checks
• Multi-source data integration (ClinVar, dbSNP, PharmGKB)

Health & Traits Analysis

• Fun & Unique Traits
  • Photic Sneeze Reflex
  • Cilantro Taste Perception
  • Perfect Pitch
  • Circadian Rhythm
  • Pain Sensitivity
• Environmental Response
  • UV Sensitivity
  • Temperature Adaptation
  • Altitude Response
• Nutrition & Diet
  • Caffeine Metabolism
  • Carbohydrate Response
  • Fat Metabolism
• Exercise Response
  • Muscle Type Analysis
  • Exercise Recovery Patterns
  • Injury Risk Assessment

Ancestry Analysis

• Regional ancestry composition
• Maternal haplogroup determination
• Neanderthal ancestry percentage
• Population-specific variant analysis

📊 Interactive Dashboard

• Chromosome-specific variant visualization
• Health traits score visualization
• Ancestry composition charts
• Real-time data filtering and exploration

📋 Comprehensive Reports

• Personalized health insights
• Environmental adaptation recommendations
• Lifestyle and exercise guidance
• Nutrition and diet suggestions

🛠 Technical Details

Dependencies

pandas
numpy
plotly
dash
requests
fpdf

Installation

pip install -r requirements.txt

Usage

python genetic-dna-analysis.py --genome path/to/genome.txt [--report report.md] [--no-dashboard] [--port 8050]

Input Format

Accepts tab-separated files with columns:

• rsid (e.g., rs12345)
• chromosome (1-22, X, Y, MT)
• position (numeric)
• genotype (A/C/G/T/D/I)

🔒 Data Privacy

• Local data processing
• No external storage of genetic information
• Cached API responses for performance
• Rate-limited external API calls

📚 API Integration

• ClinVar: Variant clinical significance
• dbSNP: Reference SNP data
• PharmGKB: Pharmacogenomic data

🖥 Output Formats

• Interactive web dashboard
• Markdown reports
• Downloadable data tables
• Interactive plots

📈 Performance

• Chunked data processing
• Multithreaded analysis
• LRU caching for API calls
• Efficient data structures