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README.md
README.md
 
 
genetic-dna-analysis.py
genetic-dna-analysis.py
 
 
requirements.txt
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README.md

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