Tune in for a great MIA talk on ML for regulatory genomics by @jmschreiber91.bsky.social and Gregory Andrews now! 🧪 broad.io/mia (Will also be available online on our YouTube playlist later: www.youtube.com/watch?v=sMTO...)
Pinar Demetci
@pinard.bsky.social
Schmidt Center Postdoctoral Fellow @ Broad Institute of MIT and Harvard AI/ML for computational biology 💻 🧬🧪
🧪 Super excited to host Gokcen Eraslan and Surag Nair from Genentech at MIA this Wednesday! They will describe a new multimodal masked modeling framework for functional genomics, which unifies sequence-to-function models, language models and synthetic sequence design. x.com/MIA_at_Broad...
Tomorrow, I am super excited to be hosting Ellen Zhong & Rishwanth Raghu from Princeton at the MIA seminar, who will discuss deep learning models to reconstruct 3D protein complexes and study biomolecular dynamics from 2D cryoEM/cryoET images 🧪https://x.com/MIA_at_Broad/status/1899195133201170569
Our ChromBPNet preprint out! www.biorxiv.org/content/10.1... Huge congrats to Anusri! This was quite a slog (for both of us) but we r very proud of this one! It is a long read but worth it IMHO. Methods r in the supp. materials. Bluetorial coming soon below 1/
ChromBPNet: bias factorized, base-resolution deep learning models of chromatin accessibility reveal cis-regulatory sequence syntax, transcription factor footprints and regulatory variants
Despite extensive mapping of cis-regulatory elements (cREs) across cellular contexts with chromatin accessibility assays, the sequence syntax and genetic variants that regulate transcription factor (T...
biorxiv.org
Aiming to release our long awaited ChromBPNet preprint by early next week as well. I'm recovering from back to back infections for the past 6 weeks. But we're almost there. We have some solid variant prediction benchmarks in there against large supervised models and lots more. Stay tuned.
I would put this even more strongly: open source AI is probably our only realistic chance to avoid a terrifying increase in concentration of power. I do not want to live in a world where the people with all the money also have all the intellectual power.
The most realistic reason to be pro open source AI is to reduce concentration of power.