{"slug":"genome","tag":"genome","variants":["genome"],"description":"No description yet","count":5,"kinds":{"technology":5},"related":[{"slug":"foundation-model","tag":"foundation-model","shared":5}],"records":[{"id":"evo2","kind":"technology","name":"Evo 2 (Arc Institute, NVIDIA)","route":"/technologies/evo2/","status":"emerging","tldr":"A DNA language model trained on 9.3 trillion bases that can flag cancer-causing BRCA1 variants without being told about them."},{"id":"nucleotide-transformer","kind":"technology","name":"Nucleotide Transformer (InstaDeep)","route":"/technologies/nucleotide-transformer/","status":"emerging","tldr":"DNA language models trained on thousands of genomes for variant and regulatory prediction."},{"id":"enformer-borzoi","kind":"technology","name":"Enformer and Borzoi (DeepMind, Calico)","route":"/technologies/enformer-borzoi/","status":"emerging","tldr":"Models that predict how DNA sequence controls gene activity, used to interpret non-coding cancer mutations."},{"id":"alphamissense","kind":"technology","name":"AlphaMissense","route":"/technologies/alphamissense/","status":"established","tldr":"Scored all 71 million possible single-letter protein changes in humans as likely harmful or benign."},{"id":"alphagenome","kind":"technology","name":"AlphaGenome","route":"/technologies/alphagenome/","status":"emerging","tldr":"Reads a million letters of DNA at once and predicts how a mutation changes gene regulation, splicing and chromatin."}]}