DeepMind has released AlphaGenome Atlas, a petabyte of precomputed predictions for all 9 billion possible single-letter changes in the human genome, free for academic use. Its headline validations came from UK Biobank whole genomes at Exeter and from the Broad Institute, and commercial access is heading to Google Cloud.
DeepMind has published AlphaGenome Atlas, a precomputed prediction for every one of the 9 billion possible single-letter changes in the human genome. The London lab’s dataset runs to a petabyte and is free for academic use.
Each variant gets an AlphaGenome Variant Impact score, a single number combining AlphaGenome with AlphaMissense. It covers the 2% of the genome that codes for proteins and the 98% that does not, and ships alongside a catalogue of more than 2,500 recurrent DNA motifs.
The file is more than 30 times the size of the AlphaFold database, which took protein structures from about 190,000 experimental entries to more than 200 million predictions.
The validation is the part that matters from here.
