NutriGx Advisor — Personalised Nutrition from Genetic Data

What problem does it solve?

Many people and researchers have raw consumer genetic files but lack a local, reproducible tool to translate common SNPs into actionable nutrition guidance; interpreting genotype lists into nutrient-specific risk and recommendations is time-consuming and error-prone. NutriGx Advisor automates genotype extraction, strand normalisation, and weighted SNP scoring to produce clear, evidence-linked dietary recommendations while keeping all data local and reproducible.

Core Features & Use Cases

• Accepts 23andMe, AncestryDNA, and VCF inputs and auto-detects or accepts explicit format selection.
• Curated nutrigenomics SNP panel with forward-strand normalisation, allele mismatch handling, and per-SNP weights to compute domain risk scores.
• Outputs a structured Markdown report, radar chart and gene × nutrient heatmap, and a reproducibility bundle (commands.sh, environment.yml, checksums, provenance).
• Designed for researchers, clinicians, and informed consumers who need rapid, local analyses or reproducible demo reports for publications and audits.

Quick Start

Generate a personalised nutrition report from my 23andMe raw file and save the report, figures, and reproducibility bundle to a local output directory.