Release
Google Deepmind shifts genomics AI from bulk tissue predictions to single cell type resolution with AlphaGenome 2
The Decoder · By Alan Truly ·
The Brief
- Google DeepMind has unveiled AlphaGenome 2, a genomics AI model.
- The model predicts effects of genetic variants for individual cell types instead of bulk tissue.
- It was trained on more than 107 million cell profiles and reportedly identifies nearly twice as many disease-relevant gene changes as its predecessor.
Why it matters
Cell-type-level variant predictions could give researchers finer-grained insight into how genetic changes affect disease than bulk tissue models allow.
Who’s affected
- Genomics researchers
- Bioinformatics developers working with variant effect prediction
- AlphaGenome 2
- #genomics
- #ai-models
- #single-cell
- #variant-effect-prediction
- #deepmind
Google Deepmind has unveiled AlphaGenome 2, an AI model that analyzes genetic variants for individual cell types rather than across bulk tissue. Trained on more than 107 million cell profiles, it identifies nearly twice as many disease-relevant gene changes as its predecessor…
Timeline
Google DeepMind unveils AlphaGenome 2 (reported by The Decoder)
The Decoder
Google Deepmind shifts genomics AI from bulk tissue predictions to single cell type resolution with AlphaGenome 2