<h1>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.</h1>References:<ul> <li>Avsec Ž, Latysheva N, Cheng J, et al. Advancing regulatory variant effect prediction with AlphaGenome[J]. Nature, 2026, 649(8099): 1206-1218.</li></ul>

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.

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:<ul> <li>Avsec Ž, Latysheva N, Cheng J, et al. Advancing regulatory variant effect prediction with AlphaGenome[J]. Nature, 2026, 649(8099): 1206-1218.</li></ul>

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