We are so excited to see our work out in @nature.com! We present a multi-omic single-cell atlas of 12 organs in human fetal development, explore the enhancer landscape, use deep learning to infer rules of transcription factor activity, and interpret non-coding variants in complex traits: #GeneReg 🧬🖥️

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This @anshulkundaje.bsky.social, Kyle Fahr and William Greenleaf paper is finally out, we've been following it for a while in its preprint form, phenomenal work. www.nature.com/articles/s41...

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Check the talks from @anshulkundaje.bsky.social @juliosaezrod.bsky.social @oldbap.bsky.social @mariabrbic.bsky.social ISMB 2025 special DREAM session on foundation models : youtube.com/playlist?lis...

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AlphaGenome is out in @nature.com today along with model weights! 🧬 📄 Paper: www.nature.com/articles/s41... 💻 Weights: github.com/google-deepm... Getting here wasn’t a straight path. We discussed the story behind the model, paper & API in the following roundtable: youtu.be/V8lhUqKqzUc

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Highlighting two manuscript additions: 1. Data ablation (Supp. Fig 12): RNA-seq + ATAC/DNase proved essential for key evals. h/t @anshulkundaje.bsky.social for the suggestion! 2. Variant Analysis: We found evidence to upgrade a 3’ UTR VUS from Ellingford et al 2022 to "likely pathogenic."

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