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Analyze drug response, genetic traits, and health risks from local genome data.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "openpgx" yet — see the docs or source repo.
Based on my genome data, analyze my metabolism for clopidogrel and warfarin, identify potential adverse reaction risks, and summarize the key points in plain language.
Returns interpretations of relevant genetic variants, risk notes, and a plain-language summary.
Using my genome data, look up genetic risk markers related to type 2 diabetes and coronary heart disease, and explain whether the findings have clinical relevance.
Provides relevant risk loci, possible implications, and caveats on result interpretation.
From my genome data, find variants related to lactose intolerance, caffeine metabolism, and alcohol flushing, and explain how each may affect daily life.
Outputs the genetic basis for each trait and readable explanations for daily habits.
Annotate whole-genome VCFs and query pharmacogenomics and disease risk in natural language.
Access NIH, WHO, and genetic variant data for health research and analysis.
Query BigQuery in natural language with schema exploration and history tracking.
Query ClinGen evidence for gene-disease validity, dosage, actionability, and variant pathogenicity.
Query PostgreSQL databases in natural language and get structured XML results.
Check drug interactions, dose ranges, and allergy cross-reactivity safely.