AlphaGenome Atlas: A predictive map of every possible DNA letter change in the human genome
Google DeepMind released AlphaGenome Atlas, a free 1-petabyte platform predicting the molecular effects of all ~9 billion possible single-letter DNA variants.
Google DeepMind introduced AlphaGenome Atlas, containing precomputed predictions for the effects of roughly 9 billion single-nucleotide variants across the human genome, spanning hundreds of human and mouse cell types. The 1-petabyte dataset is more than 30 times larger than the AlphaFold Database and includes an AlphaGenome Variant Impact (AVI) score combining AlphaGenome and AlphaMissense predictions for both coding and non-coding regions. External collaborators have already used it to identify and experimentally verify variants in unsolved rare disease research. It is available via a free web portal, the AlphaGenome API, and as a skill in Google Antigravity.
- Covers predicted effects of ~9 billion single-nucleotide variants
- 1-petabyte dataset, 30x larger than AlphaFold Database
- AVI score ranks variant impact in coding and non-coding DNA
- Free portal, API, and Google Antigravity skill access
- Already verified variants in unsolved rare disease research
- Vendors
- Google DeepMind
- Organizations
- Google DeepMind
- AI models
- AlphaGenomeAlphaMissense
From the original article
8 min read at deepmind.google
AlphaGenome Atlas maps the molecular effects of 9 billion single-letter DNA variants across the human genome.
By AlphaGenome Atlas team · deepmind.google
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