Article
Advancing regulatory variant effect prediction with AlphaGenome.
Nature - 1 Jan 2026
Avsec Žiga, Latysheva Natasha, Cheng Jun, Novati Guido, Taylor Kyle R, Ward Tom, Bycroft Clare, Nicolaisen Lauren, Arvaniti Eirini, Pan Joshua, Thomas Raina, Dutordoir Vincent, Perino Matteo, De Soham, Karollus Alexander, Gayoso Adam, Sargeant Toby, Mottram Anne, Wong Lai Hong, Drotár Pavol, Kosiorek Adam, Senior Andrew, Tanburn Richard, Applebaum Taylor, Basu Souradeep, Hassabis Demis, Kohli Pushmeet
Abstract excerpt
Deep learning models that predict functional genomic measurements from DNA sequences are powerful tools for deciphering the genetic regulatory code. Existing methods involve a trade-off between input sequence length and prediction resolution, thereby limiting their modality scope and performance1-5. We present AlphaGenome, a unified DNA sequence model, which takes as input 1 Mb of DNA sequence and predicts...
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