AlphaGenome Atlas
by Google DeepMind
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AlphaGenome Atlas is Google DeepMind's unified AI model for mapping how DNA sequence variants affect gene regulation, splicing, and expression across the genome at base-pair resolution.

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Articles mentioning AlphaGenome Atlas (2)
01DeepSeek_V4.1_Flash,_DeepMind's_AlphaGenome_Atlas_&_Muse:_AI's_Next_WaveSep 16, 2026 02AI:_DeepSeek_V4.1-Flash,_AlphaGenome_Atlas,_Meta_Muse_&_OpenAI_Math_PushSep 13, 2026
Key Features
Predicts variant effects on gene expression, splicing, chromatin accessibility, and transcription factor binding
Handles DNA sequences up to 1 million base pairs for long-range regulatory context
Provides base-pair-resolution predictions across thousands of functional genomic tracks
Supports human and mouse genome analysis via a unified deep learning framework
Pros & Cons
Pros
State-of-the-art performance on many regulatory variant effect prediction benchmarks
Unified model covers multiple regulatory modalities in one framework
Free API access for non-commercial research
Cons
Not intended for clinical or diagnostic use
Access is currently limited to non-commercial use and may require an API key
Requires genomics and computational expertise to interpret predictions