google-deepmind/alphagenome

Health v2 · maintenance only

Adoption not part of the score

1979 stars · 272 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Python SDK providing programmatic access to Google DeepMind's AlphaGenome model, which predicts genomic regulatory outputs such as gene expression, splicing, chromatin features, and contact maps from DNA sequences up to 1 million base pairs. It includes client code, tutorials, variant scoring strategies, and matplotlib-based visualization utilities, offered free for non-commercial use via a hosted API.

Use cases

• predict gene expression from a DNA sequence
• score the effect of a genetic variant on splicing
• analyze chromatin features at single base-pair resolution
• predict genomic contact maps for a region
• interpret regulatory code of human or mouse genome intervals
• visualize genomic model predictions with matplotlib

When to choose

• you need state-of-the-art predictions of regulatory genomic outputs for human (hg38) or mouse (mm10) sequences
• you are running small to medium-scale analyses requiring thousands of variant effect predictions
• you want a Python client with tutorials and plotting utilities for a hosted genomic model

When to avoid

• you need large-scale analyses exceeding roughly 1 million predictions
• your use is commercial, since the API is free only for non-commercial use
• you need fully offline or self-hosted model inference

Facets

library · maturity active

machine-learning sdk data-visualization api-framework bioinformatics artificial-intelligence deep-learning healthcare python cloud cross-platform genomics dna variant-effect-prediction gene-expression splicing chromatin deepmind regulatory-code api-client

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markdown · JSON · MCP: product_card(name="google-deepmind/alphagenome")