Google DeepMind releases AlphaGenome Atlas covering 9 billion DNA variants
Precomputed predictions for every possible single-nucleotide change remove the compute barrier that previously limited who could run large-scale variant interpretation, letting wet-lab geneticists work without GPU infrastructure. Research groups studying rare disease, cancer genomics, or population genetics can query it directly to prioritise experiments. It also gives genomics teams outside the US a free resource comparable to internal pipelines at large pharma companies.
