Great work led by @marcostock.bsky.social and Florin Ratajczak , thanks to all coauthors Paul Bertin @evahoermanseder.bsky.social @yoshuabengio.bsky.social Jason Hartford @interactome.bsky.social Matthias Heinig @alextong.bsky.social

The credit goes to my colleagues @meghana-oak.bsky.social and @marcostock.bsky.social, who drove this project and continued these demanding experiments with incredible persistence

Great team effort, led by @marcostock.bsky.social , with Corinna Losert, @mattezambon.bsky.social, Niclas Popp, Gabriele Lubatti, @evahoermanseder.bsky.social & Matthias Heinig

✨ Excited to share my latest preprint on how H3K4 methylation promotes transcriptional memory from gametes to embryos across a transcriptionally silent window — crucial for proper zygotic genome activation and development. 🐸🧬✨ 📄 Check it out here:
doi.org/10.1101/2025... 👇 Highlights below

UMAP applied to 100 randomly generated points from a multivariate normal distribution simplystatistics.org/posts/2024-1...

We present Gene Regulatory nETwork Analsyis (GRETA), a framework to infer, compare and evaluate gene regulatory networks #GRNs. With it, we have benchmarked multimodal and unimodal GRN inference methods. Check the results here 👇 Paper: doi.org/10.1101/2024.12.20.629764 Code: github.com/saezlab/greta

Learning on graphs 2024 recordings are all available online: youtube.com/watch?v=Af-_... logconference.org what a great resource!

Gene regulation involves thousands of proteins that bind DNA, yet comprehensively mapping these is challenging. Our paper in Nature Genetics describes ChIP-DIP, a method for genome-wide mapping of hundreds of DNA-protein interactions in a single experiment. www.nature.com/articles/s41...