Jonathan Schmok

Exons anywhere, beware!

@BrianHie @pdhsu @arcinstitute One practical use of Evo 2 few people have talked about: @jonathanschmok's exon classifier! You can try it yourself, the notebook is on github github.com/ArcInstitute/e…

Such an honor to be a part of this project! Learned so much from the team and had a lot of fun. Check out Evo 2 in @Nature

We’ve upgraded Stable Video Diffusion 4D to Stable Video 4D 2.0 (SV4D 2.0), improving the quality of 4D outputs generated from a single object-centric video. While 3D provides a static view of an object’s shape and size; 4D extends this by including time, showing how the object moves. This multi-view video diffusion model generates a 4D output in three steps: 1️⃣ Starts with an input video of a moving person or object 2️⃣ Generates novel views of the subject from unseen angles 3️⃣ Constructs a single dynamic 4D video output with spatial and temporal consistency You can learn more here: bit.ly/4jgRuZ7 (1/4)

AI provides a universal framework that leverages data and compute at scale to uncover higher-order patterns Today, @arcinstitute in collaboration with @nvidia releases Evo 2—a fully open source biological foundation model trained on genomes spanning the entire tree of life 🧵

Take a minute to read this thread end-to-end to learn more about @arcinstitute's Evo 2 model, but also our vision for how AI intersects for biology.

We trained a genomic language model on all observed evolution, which we are calling Evo 2. The model achieves an unprecedented breadth in capabilities, enabling prediction and design tasks from molecular to genome scale and across all three domains of life.

A new Science study presents “Evo”—a machine learning model capable of decoding and designing DNA, RNA, and protein sequences, from molecular to genome scale, with unparalleled accuracy. Evo’s ability to predict, generate, and engineer entire genomic sequences could change the way synthetic biology is done. Learn more in this week's issue: bit.ly/3OsmUPr

AI-enabled biology is at an inflection point, with the potential for exponential acceleration over the next decade. I'm excited to join the world class team of scientists and engineers at Arc Institute to advance the frontiers of science!

Alternative splicing drives cellular phenotypic diversity, yet precise tools to modulate targeted splicing events for scientific and therapeutic purposes remain elusive. In my mini-review with @yeo_lab, we explore new advances bringing targeted splicing control closer to reality.

Our latest work is now published in @MolecularCell! We discovered new RNA-binding zinc finger proteins and demonstrated their functions in RNA splicing, stability, and polyadenylation. Congrats to 1st author @MayaGosztyla and our fantastic collaborators. cell.com/molecular-cell…

Available today at the usual ad-supported video sharing platform! Link in reply

Engineered CRISPR-Cas12a for higher-order combinatorial chromatin perturbations go.nature.com/3UTnSXM

Drought free California from space. What a sight.

Check out our publication highlight video here! Thanks Jeremy @GenomeTDCC for putting this together!

I am late to my own party, but I wanted to write a short 🧵 to put this talk in context. First of all, the @TEDTalks team was amazing; there is so much that goes into these seemingly short talks. It was an amazing experience and I made some new friends. ted.com/talks/hani_goo…

1 in 8 women in the US will receive a breast cancer diagnosis in their life. Arc Investigator @genophoria led a @TEDTalks session on applying advanced AI and novel RNA molecules to detect+track breast cancer – changing the future of how cancer is screened bit.ly/3HCZpzx

My PhD work is now available online at Nature Biotechnology! 2024 is off to a good start. Huge thanks to everyone who made this possible, especially my advisor @yeo_lab for your support, guidance, and big ideas! nature.com/articles/s4158…

Congrats @jon_c_schmok et al and it's been a fun collaboration with Marko Jovanovic's lab, #RNA #SplicingInnovation