I've been exploring #GPT models' capabilities in #singlecell analysis for a while now, and they've all struggled with #scanpy. Although #ChatGPT-3.5 showed promise, it fell short in grasping the complexities of single cell RNA-seq data. Enter #GPT4. 👇

👉UPDATE: You can now use #CellTypeWriter without a #GPT4 api-key. We've set up a #free version so you can try it out on your #data. ✨This will be active for a few days or until funds run out : ) Have fun! Github link: github.com/ntranoslab/cel…

A protein language model predicts the effects of 450 million missense variants across >40,000 protein isoforms! Very cool work from Nadav Brandes Vasilis Ntranos Jimmie Ye in Nature Genetics

"Where do I think the next amazing revolution is going to come? And this is going to be flat out one of the biggest ones ever. There's no question that digital biology is going to be it." Jensen Huang, founder & CEO of NVIDIA.

We have trained ESM3 and we're excited to introduce EvolutionaryScale. ESM3 is a generative language model for programming biology. In experiments, we found ESM3 can simulate 500M years of evolution to generate new fluorescent proteins. Read more: evolutionaryscale.ai/blog/esm3-rele…

🎉Dr. James Gardner has received the prestigious W.M. Keck Foundation Award for 1.3M for his research on extrathymic Aire-expressing cells, potentially impacting a range of conditions from type 1 diabetes to cancer immunotherapy to organ transplantation👉diabetes.ucsf.edu/node/1741🌟

Here’s to the developers.

For the first (and probably last) time in my life I understand the technical details of both the physics and chemistry Nobel prizes.