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AlphaGenome Atlas

by Google DeepMind

Searchable database of AlphaGenome predicted effects for every possible single-nucleotide change in the human genome.

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AlphaGenome Atlas at a glance

What is AlphaGenome Atlas?
AlphaGenome Atlas is a research from Google DeepMind. Searchable database of AlphaGenome predicted effects for every possible single-nucleotide change in the human genome.
Who makes AlphaGenome Atlas?
AlphaGenome Atlas is made by Google DeepMind.
Does AlphaGenome Atlas work in the EU?
Unverified. No explicit evidence found. The database is described as publicly searchable, but no regional availability or terms were verified. Last verified 14 Nov 2026.
How much does AlphaGenome Atlas cost?
Pricing unknown. Described as publicly searchable; no pricing or terms verified.
Where was AlphaGenome Atlas shown?
In 1 creator video by AI Search. Most recently by AI Search on 13 Sept 2026, at 3:35 in “New Deepseek, human genome map, Navier Stokes, GPT finance, Suno v6, YuE2: AI NEWS”.

Sources: creator videos at the linked timestamps. EU status is information, not legal advice; see how we check.

About

AlphaGenome Atlas is a Google DeepMind resource that collects predictions from the AlphaGenome model for single-letter (single-nucleotide) variants across the human genome. According to a creator summary, it covers more than 9 billion possible variants and amounts to roughly 1 PB of data.

Each variant carries an impact score. The same summary reports that using these scores found about 22% more genetic associations in UK Biobank data than the comparison it describes. The database is described as publicly searchable.

The resource is aimed at researchers in genetics and genomics who want to look up the predicted regulatory effect of a variant without running the model themselves. It is a research resource, not a consumer product. Details on the interface, access method, licensing and exact release date could not be verified from official pages, so the information here rests on a single secondary description.

Key features
  • Predictions for every possible single-nucleotide variant in the human genome (>9 billion)
  • Per-variant impact score
  • About 1 PB of precomputed AlphaGenome outputs
  • Publicly searchable
  • Reported 22% more genetic associations found in UK Biobank data
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