Google releases AlphaGenome 2 for single-cell DNA prediction
Cell-state conditioning turns a static sequence model into one that can answer why a variant matters in a specific tissue, which is the bottleneck in variant interpretation today. Genomics researchers, computational biologists and pharma teams screening variants can use it to prioritise hypotheses without new training runs. It stands apart from similar sequence models by consuming researchers' own single-cell RNA-seq inputs through a Cell Encoder, making it adaptable to proprietary datasets rather than fixed reference cell types.
