Johannes Linder

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

New preprint w/@anshulkundaje introducing CPA-Perturb-seq! We systematically perturb regulators of cleavage and polyadenylation, and explore post-transcriptional changes at single-cell resolution. Led by @mh_kowalski @harm__w and @jjohlin (🧵) biorxiv.org/content/10.110…

Very excited for MP3-seq, a new high-throughput Y2H approach we use to screen de novo protein heterodimer interactions. Fantastic work by Alex Baryshev, Alyssa La Fleur, @benjaminbgroves,@CirstynMichel, David Baker @UWproteindesign, @AjasjaLjubetic biorxiv.org/content/10.110…

Excited to highlight @Calico’s 2023 summer internship program, which my group will be participating in! If you’re interested in gaining experience with deep learning models in regulatory genomics, consider applying to join us here: calicolabs.com/careers?gh_jid…

CaRPool-seq from @satijalab, @nevillesanjana and colleagues makes use of the RNA-targeting CRISPR-Cas13d system to perform combinatorial perturbations in single-cell screens. nature.com/articles/s4159…

@vagar112 & @drklly describe Saluki, which is capable of predicting the effects of mRNA sequences and genetic variants on mRNA stability 50% more accurately relative to existing models in mammals. genomebiology.biomedcentral.com/articles/10.11…