Google has released AlphaGenome Atlas, a tool that predicts the functional impact of swapping in any of the three alternative bases at every position across the roughly 3-billion-base human genome, amounting to 9 billion base substitutions analyzed. The system focuses heavily on non-coding DNA, which makes up over 97% of the genome and includes regulatory elements that control gene activity alongside leftover viral sequences with no clear function.
arstechnica.com
· 2026-09-09
Google DeepMind has launched AlphaGenome Atlas, a publicly available database that uses its AlphaGenome AI model to predict the likely effects of every possible single-letter mutation across the human genome, covering both protein-coding and regulatory regions. The tool is free for non-commercial research use starting immediately, with a paid licensing option for commercial users, including DeepMind's own drug-discovery affiliate Isomorphic Labs, expected to follow via Google Cloud.
tech.slashdot.org
· 2026-09-08
Google DeepMind has released AlphaGenome Atlas, a 1-petabyte database that uses its AlphaGenome AI model to predict the regulatory impact of all roughly 9 billion possible single-letter mutations across the human genome. The Atlas also introduces a scoring system called AVI, which condenses complex coding and non-coding predictions into one number researchers can use to quickly identify which genetic variants deserve closer study.
blog.google
· 2026-09-08
Google DeepMind has launched AlphaGenome Atlas, a database that predicts the molecular effects of every one of the roughly nine billion possible single-letter changes across the human genome. The tool is accessible via a web portal, the Antigravity development platform, and the AlphaGenome interface, and comes bundled with a new Variant Impact Score to help researchers prioritize which mutations are most likely to matter.
theverge.com
· 2026-09-08
Google DeepMind has launched the AlphaGenome Atlas, a free, non-commercial database that uses its AlphaGenome AI model to predict the biological impact of every possible single-letter change across the human genome—about 9 billion mutations in total. The tool also incorporates predictions for over 100 million short insertions and deletions found in human DNA, and is designed to be accessible without requiring users to write code, unlike the original API-based release.
nature.com
· 2026-09-08
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