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pdhsu.bsky.social

@pdhsu.bsky.social
1K followers 1.1K following 29 posts
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pdhsu.bsky.social @pdhsu.bsky.social · 15/05/2025
Genomes encode biological complexity, which is determined by combinations of DNA mutations across millions of bases In new work @arcinstitute.org, we report the discovery and engineering of the first programmable DNA recombinases capable of megabase-scale human genome rearrangement
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Andrew Dunn @andrewedunn.bsky.social · 30/04/2025
This was a fun one — new Endpoints Slack interview with @pdhsu.bsky.social : endpts.com/endpoints-sl...
endpts.com
The Endpoints Slack interview: Arc Institute's Patrick Hsu on investing, AI and new ways of research
An interview with Patrick Hsu, 31, Harvard PhD grad and CRISPR pioneer, who co-founded Arc Institute and helped develop Evo 2, a biology-focused AI model.
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pdhsu.bsky.social @pdhsu.bsky.social · 24/03/2025
are there good CROs for cell line engineering and generation?
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Arc Institute @arcinstitute.org · 25/02/2025
Today, we're launching the Arc Virtual Cell Atlas, a growing resource for computation-ready single-cell measurements. arc-website-git-ben-virtual-cell-atlas-tool-arc-institute.vercel.app/news/news/ar...
arc-website-git-ben-virtual-cell-atlas-tool-arc-institute.vercel.app
Arc Virtual Cell Atlas launches, combining data from over 300 million cells | Arc Institute
Arc Institute today launched the Arc Virtual Cell Atlas, a growing resource for computation-ready single-cell measurements, starting with data from over 300 million cells. The initial release of the A...
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Yusuf Roohani @yusufroohani.bsky.social · 25/02/2025
At the @arcinstitute.org we are building AI models of cell state from the ground up, rethinking every step, from data generation to biologically relevant evaluation Today we launch scBaseCamp, the largest public repository of single cell RNAseq data, uniformly processed from raw sequencing reads.
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Hani Goodarzi @genophoria.bsky.social · 25/02/2025
@thejohnnyyu.bsky.social, @therealnima.bsky.social, and I, are excited to tell you about Tahoe-100M! The largest publicly available single-cell dataset that measures the effect of 1200 genes on 50 cell line models. The Vevo team has outdone itself. #Tahoe100M www.biorxiv.org/content/10.1...
biorxiv.org
Tahoe-100M: A Giga-Scale Single-Cell Perturbation Atlas for Context-Dependent Gene Function and Cellular Modeling
Building predictive models of the cell requires systematically mapping how perturbations reshape each cell's state, function, and behavior. Here, we present Tahoe-100M, a giga-scale single-cell atlas ...
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Hani Goodarzi @genophoria.bsky.social · 25/02/2025
Watch @thejohnnyyu.bsky.social @therealnima.bsky.social (@vevotherapeutics.bsky.social), @pdhsu.bsky.social , Dave Burke and I (@arcinstitute.org) talking about virtual cells, and how #Tahoe100M, now on. @arcinstitute.org's Virtual Cell Atlas, can change the game! www.youtube.com/watch?v=ak_f...
youtube.com
No Priors Ep. 103 | With Vevo Therapeutics and the Arc Institute
YouTube video by No Priors: AI, Machine Learning, Tech, & Startups
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Fay Lin @faylinphd.bsky.social · 19/02/2025
New from @arcinstitute.org is "the largest publicly available #AI model for biology to date"! Evo 2 now includes information from all domains in life to expand its capabilities in generative functional genomics. @pdhsu.bsky.social @brianhie.bsky.social tinyurl.com/3t83vseh
tinyurl.com
Arc Institute’s AI Model Evo 2 Designs the Genetic Code Across All Domains of Life
Evo 2 now includes information from humans, plants, and other eukaryotic species to expand its capabilities in generative functional genomics.
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pdhsu.bsky.social @pdhsu.bsky.social · 19/02/2025
AI provides a universal framework that leverages data and compute at scale to uncover higher-order patterns Today, @arcinstitute.org in collaboration with Nvidia releases Evo 2—a fully open source biological foundation model trained on genomes spanning the entire tree of life.
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Dave Burke @daveyburke.bsky.social · 19/02/2025
Introducing Evo 2 from Arc Institute - an AI that can model and design the genetic code for all domains of life. It’s one of the largest-scale truly open source AI models for biology (and in fact more generally - most “open source” large language models are only “open weights”)
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