Join the Google DeepMind Genomics team for a deep dive into AlphaGenome. In this video, Dhavi (Product Manager) is joined by Ziga (Genomics Lead) and AlphaGenome first authors Natasha, Jun, and Tom to share the story behind AlphaGenome, their unified DNA sequence-to-function model recently published in Nature.
They discuss how the team built a system useful for decoding the 98% of the human genome that is non-coding - helping scientists predict the functional impact of genetic variants with unprecedented accuracy.
Plus, hear about the engineering breakthroughs required to process long sequences at high resolution on TPUs, model complex biological processes like splicing and contact maps, and how the API enables researchers to rapidly score variants for accelerating disease understanding.
Read the paper https://www.nature.com/articles/s41586-025-10014-0 and join the AlphaGenome community https://www.alphagenomecommunity.com/
Chapters 00:00 - Intros 00:39 - Part 1 The Big Picture: Why AlphaGenome? 06:28 - Part 2 The Model: What’s new and how we built it 19:26 - Part 3 From Model to API: Opening it up 23:29 - Part 4 The Future: What’s next and how to get involved
