AIxBio Builders: @vevotherapeutics.bsky.social is joining forces with @hf.co & NVIDIA Healthcare to organize the 1st hackathon to build on Vevo's Tahoe-100M dataset. Join us! We will select 40 participants, provide compute and a $400 travel voucher for 10 travelers. Details in 🧵

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...

@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...

big news for AI + bio - respect for open sourcing such a rich dataset!

Open source is music to my ears.

A month ago we @vevotherapeutics.bsky.social announced that we have generated the largest single-cell perturbation atlas in history, Tahoe-100M. Today, we announce that we will fully open-source Tahoe-100M in Feb, as part of a collaboration with NVidia health to train cell state models.

To build disease-relevant models of the cell, we need perturbative data at scale + AI that can efficiently learn from that data. @vevotherapeutics.bsky.social may be the only team that is pushing the boundaries of both. This recognition from DataBricke is a testament to that dbricks.co/3DbIULQ

This is bound to be an amazing resource!

A grand milestone in single cell drug screening!

@thejohnnyyu.bsky.social, @therealnima.bsky.social , Kevan Shokat, and I are excited to announce a historic achievement by our team at @vevotherapeutics.bsky.social: tinyurl.com/4rrvap3t

We 💙 Single-Cell Data. So we built an atlas of it that goes beyond anything available publicly by a wide margin. Proud of our team! And thanks Parse Biosciences and Ultima Genomics for the support.

Tahoe-100M: A single-cell transcriptomic atlas larger than all public datasets combined, 50x larger than all drug-perturbed public single-cell data put-together, generated by us @vevotherapeutics.bsky.social Reach out if you want to work together to build on it.