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Google DeepMind 发布 AlphaGenome 2：按细胞类型预测变异效应

Google DeepMind Releases AlphaGenome 2 for Cell-Type-Specific Variant Effects

Primary sourcemarktechpost@Asif Razzaq
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DeepMind 这次把变异效应预测细化到了细胞类型层面，比如同一个变异在不同细胞里的影响可以分开看。做基因组解读、罕见病研究的团队会直接用得上，API 已经开放非商业调用。

Google DeepMind 于 11 月 11 日发布 AlphaGenome 2，这是一个条件化 DNA 序列模型，能够按细胞类型预测基因组调控活性与变异效应。

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相比初版 AlphaGenome，新版本的关键差异是引入了细胞类型条件化机制，用户可以指定目标细胞类型，模型据此给出该类型下特定变异对调控元件的影响。模型通过 AlphaGenome API 提供，许可范围限定为非商业研究用途。

对基因组学与遗传病研究方向的研究者来说，细胞类型维度的变异效应预测有助于解读非编码区变异的致病机制。

Original · marktechpost

Google DeepMind Releases AlphaGenome 2 for Cell-Type-Specific Variant Effects

Google DeepMind released AlphaGenome 2, a conditional DNA sequence model that predicts regulatory activity and variant effects per cell type. It is available via the AlphaGenome API for non-commercial research. The post Google DeepMind Releases AlphaGenome 2 for Cell-Type-Specific Variant Effects appeared first on MarkTechPost .

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This report is categorized under AITOP's "Products" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows and US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include AlphaGenome, Google DeepMind, 基因组学, 多模态.

Primary source verification: published directly by marktechpost with first-party authority.

#AlphaGenome#Google DeepMind#基因组学#多模态

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