A Python package for pharmacogenomics (PGx) research
AI-powered pharmacogenomic risk prediction system. Analyzes patient VCF files across 6 genes (CYP2D6, CYP2C19, CYP2C9, SLCO1B1, TPMT, DPYD) to predict drug-specific risks with CPIC-aligned recommendations and Gemini AI explanations.
MCP server for pharmacogenomics — ClinVar, PharmGKB, gnomAD, OpenTargets, and clinical trials from Claude
PRISM: Pharmacogenomic Resolution via Integrated Star-allele Matching — Production-grade multi-caller PGx star allele calling pipeline with evidence-weighted consensus, CPIC drug recommendations, HL7 FHIR R4, and GA4GH VRS 1.3 output
AI-powered personalized medicine from your DNA — CPIC-grounded pharmacogenomics from raw 23andMe / AncestryDNA / PDF data.
India-first, privacy-first genomics toolkit for local DNA analysis and personalized health insights — open-source Community Edition
Haplo — the genomic safety layer for every prescription. Lab-agnostic CPIC-based pharmacogenomic decision support.
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