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

2025-06-27

Abstract excerpt

Deep learning models that predict functional genomic measurements from DNA sequence are powerful tools for deciphering the genetic regulatory code. Existing methods trade off between input sequence length and prediction resolution, thereby limiting their modality scope and performance. We present AlphaGenome, which takes as input 1 megabase of DNA sequence and predicts thousands of functional genomic tracks up to...

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Literature Corpus work
0b0ee847-65aa-5a4d-a681-9f4b806aa8cb
DOI
10.1101/2025.06.25.661532
Open publication

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AlphaGenome: advancing regulatory variant effect prediction with a unified DNA sequence modelDOI 10.1101/2025.06.25.661532
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