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Understanding DNA Sequence Made Easy: A PyTorch Reimplementation of AlphaGenome
How do DNA foundation models help us understand DNA at scale? In this video, I discuss how modern sequence-to-function DNA models can uncover biological meaning from genomic sequence with our guests Alejandro Buendia and Danila Bredikhin from Anshul Kundaje’s lab at Stanford. We also discuss their PyTorch reimplementation of the foundational DNA sequence-to-function model, AlphaGenome, that makes it easier for the community to use and build on. This work is featured through genomicsxai, a peer-reviewed blog-style alternative to traditional publishing.
Links
genomicsxai: https://genomicsxai.github.io
AlphaGenome in PyTorch: https://genomicsxai.github.io/blogs/2...
scverse: https://scverse.org
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By Vivekanandan RamalingamHow do DNA foundation models help us understand DNA at scale? In this video, I discuss how modern sequence-to-function DNA models can uncover biological meaning from genomic sequence with our guests Alejandro Buendia and Danila Bredikhin from Anshul Kundaje’s lab at Stanford. We also discuss their PyTorch reimplementation of the foundational DNA sequence-to-function model, AlphaGenome, that makes it easier for the community to use and build on. This work is featured through genomicsxai, a peer-reviewed blog-style alternative to traditional publishing.
Links
genomicsxai: https://genomicsxai.github.io
AlphaGenome in PyTorch: https://genomicsxai.github.io/blogs/2...
scverse: https://scverse.org