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Evo: a foundation model for genomics! Using a well suited architecture, Evo learns from billions of bp of genomic sequence and performs well on several zero-shot prediction tasks on RNA, DNA and protein. Beautiful paper from Brian Hie & Patrick Hsu at Arc Institute
52,245 次观看 • 2 年前 •via X (Twitter)
14 条评论

Preprint link here:

Dr. Tal Patalon explores how AI mega initiatives like the $500B Stargate project & AI-powered genomic analysis by Illumina & NVIDIA are transforming healthcare. @TalPatalon @forbes @edengallery_ #AIinHealthcare #PrecisionMedicine #Multiomics #HealthTech

@BrianHie @pdhsu @arcinstitute Thank you for highlighting our work!

@BrianHie @pdhsu @arcinstitute What are you about the fact their model do activity prediction worse than gc-content?

@BrianHie @pdhsu @arcinstitute very good presentation

@BrianHie @pdhsu @arcinstitute Yes! Awesome summary Julia. This paper is so cool

@BrianHie @pdhsu @arcinstitute Been noodling on a playground for evo here:

@BrianHie @pdhsu @arcinstitute Julia — what do you think about the fact that they claim to generate functional CRISPR-Cas systems without experimental validation?

@BrianHie @pdhsu @arcinstitute I think that they’re going to do the experimental validation :)

@BrianHie @pdhsu @arcinstitute Paging Dr @Cian_Smyth

@BrianHie @pdhsu @arcinstitute Its about time we move to fully synthetic biology. This is where all the cures, improvements and the most deadly weapons of humanity lie

@BrianHie @pdhsu @arcinstitute Great work

@BrianHie @pdhsu @arcinstitute Oooooo this could be so cool

Very nice video! I do hope some day people can create a similar one for our language model…

