Google DeepMind releases AlphaGenome 2
What happened
On November 11, 2026, Google DeepMind released AlphaGenome 2, which predicts how DNA sequences and genetic variants affect specific human cells, conditioned on cell type or state. The release says the model was trained on more than 107 million single-cell profiles and identifies causal variants in 30% of cases on the TenK10K dataset, against 16% for the original model fine-tuned on single-cell data and for other specialized tools. The Verge reported the same day that training data covers 68 tissues, and that the model flags nearly twice as many variants that alter gene expression as the previous state-of-the-art model, per the company. It predicts new cell types and biological states without retraining, to help trace diseases to their cellular roots.
Written by AI from the coverage · updated 11 hours ago
Coverage
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- Google DeepMindPickGoogle DeepMind releases AlphaGenome 2 to predict how cells read DNA and how variants affect them
Google DeepMind released AlphaGenome 2, which conditions on cell type or state to predict how DNA sequences and their variants affect specific human cells. The model was trained on more than 107 million single-cell profiles. On the TenK10K dataset it identified causal variants 30% of the time, against 16% for the original model fine-tuned on single-cell data and for other specialized tools. It can also analyze unseen cell states without retraining.
- The Verge · AIGoogle’s AlphaGenome 2 zooms in on the cellular roots of disease
Google DeepMind 推出 AlphaGenome 2，预测遗传变异对不同细胞类型和状态的影响，以帮助研究疾病的细胞层面根源。模型使用覆盖 68 种组织的超过 100 million 份单细胞数据训练，据公司介绍，识别出的可改变细胞基因表达的变异数量接近此前最先进模型的两倍，且无需重新训练即可预测新的细胞类型和生物状态。
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