Google DeepMind released AlphaGenome Atlas on September 8, a one-petabyte database containing AI-generated predictions for the molecular effects of more than 9 billion possible single-letter DNA changes across the human genome
The resource was developed with contributions from researchers at the Stowers Institute for Medical Research, Broad Institute, University of Exeter, Memorial Sloan Kettering Cancer Center, and Stanford University. Until now, researchers lacked a single resource that could both rank variants across the genome and reveal the biological processes they are predicted to disrupt.
Scientists can access the resource through a web browser without writing code. “AlphaGenome Atlas is a powerful example of how AI can expand human knowledge and advance scientific discovery,” said Pushmeet Kohli, VP of Science at Google DeepMind.
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