This API provides programmatic access to the AlphaGenome model developed by Google DeepMind.

Research code accompanying AlphaGenome

AlphaGenome PyTorch port

Implementation of AlphaGenome, Deepmind's updated genomic attention model

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This is a established tool using Alphagenome to screen the possible effects of variants to expression patterns.

Web app for interacting with Google DeepMind's AlphaGenome model — interval predictions, variant effect analysis, and visualization

Benchmarking approaches to fine-tune AlphaGenome on lentiMPRA data

This code demonstrates how to create RNA-seq prediction diagrams with AlphaGenome

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MCP server for AI-powered genomic variant analysis

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MCP for DeepMind alphagenome API

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A web dashboard for analyzing whole genome sequencing data using Google DeepMind's AlphaGenome API.

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VirDLA(Virtual Dual-Luciferase Assay) is an AlphaGenome-powered in silico platform that predicts dual-luciferase assay activity ratios from DNA sequences, enabling high-throughput virtual screening of regulatory elements.

AlphaGenome-backup

Explorer of AlphaGenome

Prediction examples using AlphaGenome

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A command line interface for the Alphagenome API

AlphaGenome est un modèle d'intelligence artificielle développé par Google DeepMind qui prédit les fonctions et effets de séquences d'ADN. Publié dans Nature en janvier 2026, il représente une avancée majeure dans la compréhension du génome humain.

GWAS variant prioritization via AlphaGenome

Professional web interface for Google DeepMind's AlphaGenome API - Full-stack app (Next.js + FastAPI) with i18n support (EN/ES)

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Prioritizing Variants at an Estimated Phenotype GWAS Locus with AlphaGenome

Run AlphaGenome on DecodeME GWAS summary statistics files or those from other studies using regenie format