Author

Tom Ward

Google DeepMind (United Kingdom)ORCID 0009-0004-6318-7279Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Research Focus:variant effect prediction· 2 Assay:bulk RNA-seq· 1 Assay:ChIP-seq· 1 Assay:DNA methylation· 1 Assay:Hi-C· 1 Organism:mouse· 1

Frequent Co-Authors

Adam GayosoiD· 2 shared Anne MottramiD· 2 shared Clare BycroftiD· 2 shared Eirini ArvanitiiD· 2 shared Guido NovatiiD· 2 shared Joshua PaniD· 2 shared Jun ChengiD· 2 shared Kyle R. TayloriD· 2 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Adam GayosoORCID

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2 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintSep 20, 2026

AlphaGenome Atlas: in silico mutagenesis of the entire human genome improves prioritization and interpretation of non-coding variants

Lead authors:, Jun Cheng, Kyle R. Taylor…·Žiga Avsec

AlphaGenome Atlas predicts regulatory effects of non-coding variants across the human genome, improving their prioritization and interpretation.

3 citations

humanwhole-genome sequencing

𝕏 PostBluesky

BioinformaticsNaturePeer-reviewedJan 28, 2026

AlphaGenome: advancing regulatory variant effect prediction with a unified DNA sequence model

Natasha S. Latysheva, Jun Cheng, Guido Novati…·Pushmeet Kohli

AlphaGenome predicts functional genomic measurements from DNA sequences with high resolution and accuracy across multiple modalities, outperforming existing methods in variant effect prediction.

399 citationstop 1%

𝕏 PostBluesky