AlphaGenome is a multimodal deep learning model that predicts functional genomic tracks from 1-Mb DNA sequences at base-pair resolution. It outperforms specialized tools in variant effect prediction for gene expression, splicing, and chromatin state, aiding non-coding variant analysis.
References:
- Avsec Ž, Latysheva N, Cheng J, et al. Advancing regulatory variant effect prediction with AlphaGenome[J]. Nature, 2026, 649(8099): 1206-1218.
