Check our new paper “Predicting RNA-seq coverage from DNA sequence as a unifying model of gene regulation”. biorxiv.org/content/10.110…

Come join us!

We’re opening a researcher position in my group for a machine learning-focused computational biologist! calicolabs.com/careers/?gh_ji…

#MLCB2024 kicks off in 22h (9am PST) with keynote from Jian Zhou on DL for transcriptional initiation! Full schedule at mlcb.github.io and public livestream at youtube.com/live/reqWvNOKl…. Please RT!

Hi all, I am currently on the academic job market. I am a postdoctoral researcher in Dr. Christina Leslie's lab at the Computational and Systems Biology Program at Memorial Sloan Kettering Cancer Center. My research focuses on deciphering causal and dynamic gene regulation

Borzoi paper is finally out! It takes DNA sequence as input, trains directly on RNA-seq profiles, and can be used to study gene regulation and variant effects on transcription, splicing as well as polyadenylation! Congrats to Johannes and the team!

[SAVE THE DATE] MLCB 2025 is happening Sep 10-11 at the NY Genome Center—NYC! Attend the premier conference at the intersection of ML & Bio, share your research and make lasting connections! Submission deadline: Jun 1 Details: mlcb.github.io Spread the word—please RT!

Checkout this lastest work from Anya et al. to improve variant effect prediction of DNA sequence model on indels and structural variants!

Last week I shared tomtom-lite, a super fast re-implementation of Tomtom for annotating short genomic spans with the motifs they most resemble. Now, there's a convenient command line tool `ttl` that comes with the installation. You can get it with `pip instal memelite`

check out our groups latest preprint using Borzoi to inform fine-mapping of GWAS variants!

The poster abstract deadline for the Keystone Symposia AI in Molecular Biology meeting in Santa Fe is coming up on August 21st, so get your submissions in! keystonesymposia.org/conferences/co…

Tangermeme: A toolkit for understanding cis-regulatory logic using deep learning models 1. Tangermeme is a highly optimized toolkit designed to distill learned cis-regulatory patterns from deep learning models into human-interpretable insights. It focuses on the post-training