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DeepMind releases free AlphaGenome Atlas covering 9 billion possible human DNA changes

2026-09-10 · Source:SiliconANGLE p2

DeepMind releases free AlphaGenome Atlas covering 9 billion possible human DNA changes

Google DeepMind's AlphaGenome Atlas, released today, offers researchers free access to precomputed predictions for more than 9 billion possible single-letter changes to human DNA.

Google DeepMind, the research unit of Google LLC, announced the release of the AlphaGenome Atlas, a free database that maps the predicted biological consequences of more than 9 billion possible single-letter changes to human DNA. The catalogue was produced with AlphaGenome, the unit's artificial intelligence model, and was made available to researchers globally at no cost upon its release today, September 8, 2026.

The Atlas is built as a precomputed catalogue. Rather than asking scientists to run the AlphaGenome model for each variant they want to study, DeepMind has already processed the full set of more than 9 billion possible single-letter DNA changes and published the resulting predictions. Researchers can therefore consult the database directly for any of those alterations, with the entire space of possible single-letter changes to the human genome covered in advance.

The headline figure is scale: the 9 billion single-letter changes represent the complete set of point alterations that could occur across human DNA, and DeepMind says the Atlas maps all of them. Converting a model's outputs into a static, freely accessible reference shifts AlphaGenome from a tool that must be operated into a resource that can simply be queried, removing the need for individual laboratories to generate those predictions themselves.

DeepMind said the Atlas was released today and is available free of charge to researchers worldwide. The announcement ties the database directly to the AlphaGenome model, which generated the biological predictions for every variant in the catalogue, positioning the Atlas as the public distribution channel for the model's outputs across the full range of possible single-letter DNA changes.

Mots-clés: Google DeepMind · AlphaGenome · AlphaGenome Atlas · Genomics · AI for Science


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