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
Pinar Demetci
🧪 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...
If you miss the talk, don't fret, we'll later post it on your YouTube playlist, which also has an awesome recent talk by @robp.bsky.social and Pratab Singh on quantifying uncertainty in inferred transcript abundances in sequencing data, with quite a detailed primer
www.youtube.com/playlist?lis...
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...)
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/
Pinar Demetci
MIA homepage: http://www.broadinstitute.org/mia Models, Inference & Algorithms (MIA) is a Broad initiative to support learning and collaboration across the i...
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...
hi everyone!! let's try this optimal transport again 🙃
Video
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.
Brandon Amos
Ted Underwood
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.
Anshul Kundaje
The most realistic reason to be pro open source AI is to reduce concentration of power.
Check out this systematic benchmark of genome-wide, annotation agnostic DNALMs & strong baseline ab-initio models for biologically meaningful tasks in regulatory genomics 1/
Anshul Kundaje
Nathan Lambert
"money has flowed to tech giants and others in their orbit... [and] raises an uncomfortable prospect: that this supposedly revolutionary technology might never deliver on its promise of broad economic transformation, but instead just concentrate more wealth" www.bloomberg.com/opinion/arti...
Two years in, generative AI’s value to the world is still unclear. But these charts show that it’s been a bonanza for the largest tech firms.
(1/10) Excited to announce our latest work! @arpita-s.bsky.social, @amanpatel100.bsky.social , and I will be presenting DART-Eval, a rigorous suite of evals for DNA Language Models on transcriptional regulatory DNA at #NeurIPS2024. Check it out! arxiv.org/abs/2412.05430
Recent advances in self-supervised models for natural language, vision, and protein sequences have inspired the development of large genomic DNA language models (DNALMs). These models aim to learn gen...
