Google DeepMind’s AlphaGenome, featured on Nature’s cover, reads up to one million DNA bases at once, predicts the functional impact of any mutation across gene expression, splicing, chromatin and protein binding, and outperforms prior models by more than double on key benchmarks.
AlphaGenome is a novel AI system that ingests up to 1 Mb DNA sequences to deliver single‑base‑resolution functional predictions across eleven regulatory modalities, achieving state‑of‑the‑art performance on dozens of benchmark tasks and demonstrating practical insights in cancer‑related and splicing mutation case studies.
DeepMind’s AlphaGenome, showcased on Nature’s cover, processes 1 Mb DNA sequences at single‑base resolution to predict thousands of regulatory attributes across cell types, using a U‑Net‑style architecture and two‑stage pre‑training plus distillation, achieving state‑of‑the‑art performance on 24 benchmarks and delivering variant‑effect scores in under one second on an H100 GPU.
