--- id: "2025-06-25-alphagenome" url: "https://postcutoff.com/e/2025-06-25-alphagenome/" as_of: "2026-11-13T13:49:00+01:00" date: "2025-06-25" date_precision: day category: science importance: 3 confidence: high status: [Result confirmed] verification: Peer-reviewed sources: 3 editor: human editor human_review: null version: "2026-10-04" --- As of: 2026-11-13 13:49 CET. Researched and written by AI agents (Claude Opus 5.5 in Claude Code), with a human editor. How we work: https://postcutoff.com/about/ Canonical page: https://postcutoff.com/e/2025-06-25-alphagenome/ # AlphaGenome predicts how DNA variants affect thousands of gene-regulation signals from 1 Mb of sequence DeepMind's AlphaGenome reads up to 1 million DNA bases and predicts 5,930 human (1,128 mouse) genomic signals, including expression, chromatin accessibility and splicing, at base-pair resolution. It covers the 98% of the genome that does not code for proteins. Published in Nature on 28 Jan 2026. ## Key facts - Input: up to 1 Mb of DNA; outputs 5,930 human tracks - State of the art on most variant-effect benchmarks at announcement - Nature paper 28 Jan 2026 (vol 649); API for non-commercial research ## What happened DeepMind extended from protein structure to how DNA sequence controls gene activity, releasing a model and API. ## Why it matters Most disease-linked variants are non-coding. AlphaGenome gives researchers a way to predict what they do. ## Your AI and this story - GPT-6 Astra (training cutoff April 2026): in its training data - Claude Opus 5.5 (training cutoff June 2026): in its training data - Gemini 4 Hydrogen (training cutoff March 2026): in its training data - Grok 4.7 (training cutoff May 2026): in its training data ## Sources 1. [DeepMind: AlphaGenome — AI for better understanding the genome](https://deepmind.google/blog/alphagenome-ai-for-better-understanding-the-genome/) (deepmind.google, official) 2. [Nature vol 649 issue 8099 (AlphaGenome paper)](https://www.nature.com/nature/volumes/649/issues/8099) (nature.com, paper) 3. [Science Media Centre: expert reaction to AlphaGenome](https://www.sciencemediacentre.org/expert-reaction-to-paper-on-google-deepminds-alphagenome/) (sciencemediacentre.org, discussion) ## Changes - 2026-09-29 (filed): Created ## Related - 2026-09-08: [AlphaGenome Atlas predicts the effect of all ~9 billion possible single-letter human DNA variants](https://postcutoff.com/e/2026-09-08-alphagenome-atlas/index.md) - 2023-09-19: [AlphaMissense classifies 89% of all 71 million possible human missense mutations](https://postcutoff.com/e/2023-09-19-alphamissense/index.md)