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Reads a million letters of DNA at once and predicts how a mutation changes gene regulation, splicing and chromatin.
AlphaGenome is Google DeepMind's long-context sequence model with multi-task regulatory heads, which reads up to a million bases of DNA and predicts, at single-base resolution, how variants change gene expression, splicing, chromatin accessibility and other regulatory signals in one model. It launched as a preview API in June 2025, and the Nature paper followed in January 2026. By unifying tasks that previously needed separate models it is relevant to interpreting non-coding cancer drivers in enhancers, promoters and splice sites. It is for research use, and cancer-specific validation is ongoing, so its predictions remain hypotheses to test rather than clinical evidence. For a newcomer: AlphaGenome reads long stretches of DNA and predicts how a mutation outside a gene would change the gene's behaviour.
Long-context sequence model with multi-task regulatory heads.
Query for this technology: (TITLE:"AlphaGenome" OR ABSTRACT:"AlphaGenome") AND (cancer OR tumor OR tumour OR oncology OR carcinoma OR lymphoma OR leukemia OR leukaemia OR myeloma OR sarcoma OR melanoma OR glioma). Results are unfiltered search hits about AlphaGenome, not a curated reading list.
Shares Google DeepMind (and Google Research) and the tags foundation-model, genome.
Shares Google DeepMind (and Google Research) and the tags foundation-model, genome.
Shares Google DeepMind (and Google Research) and the tag foundation-model.
Shares Google DeepMind (and Google Research) and the tag foundation-model.
Shares the tags foundation-model, genome.
Shares the tags foundation-model, genome.
Shares Google DeepMind (and Google Research) and the tag foundation-model.
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DeepMind's model predicting regulatory effects of DNA variants; API access is free for non-commercial use.