Rob Schneider

@robertife.bsky.social

https://www.helmholtz-munich.de/en/ife

EpiCrossBorders Week in Edinburgh was a great mix of collaboration & innovation. Starting with a Biotech Start‑Up Ideation Workshop and ending with a 2‑day symposium engaging PI's and students—we can't believe it is our penultimate year! Still so much to look forward to and achieve #EpiCrossBorders

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Want to know how histone marks regulate your favorite gene? Go single molecule with ChromSMF: integrated measure of chromatin accessibility and histone marks + DNA methylation, TF footprints and genotype for free! Very proud of @mpalamin.bsky.social ! @embl.org

Michela Palamin@mpalamin.bsky.social · 4mo ago

ChromSMF preprint is out!🚀 tinyurl.com/ChromSMF We often piece together chromatin regulation layer by layer from separate assays. But this can be limiting! In @arnaudkr.bsky.social's lab, we developed a method to directly study multiple layers on the same DNA molecule! 🧬 What does this unlock? ⬇️

Transposable elements are increasingly studied in single-cell data, but how reliable are current locus-level quantification methods in short-read scRNA-seq data? If you work with single-cell RNA-seq or TEs, we hope this is a useful resource — feedback very welcome!

Veronica Finazzi@veronicafin.bsky.social · 5mo ago

Happy to share our new preprint! 📊 We benchmarked methods for locus-level transposable element quantification in short-read scRNA-seq, using both real datasets and simulations with read-level ground truth. Huge thanks to @catavallejos.bsky.social and @antonio-scialdone.bsky.social! #TEsky

Very nice paper from @martingroth.bsky.social at IFE just out !Linking #metabolism and #epigenetics in ➡️ @natplants.nature.com @helmholtzmunich.bsky.social @epihmgu.bsky.social @valentin-ha.bsky.social

Martin Groth@martingroth.bsky.social · 5mo ago

Delighted to share our paper, out today in @natplants.nature.com Not all “wasted” carbon is lost: formate released during photorespiration can be reused to support DNA methylation. Our work reveals a metabolic link between CO₂ levels and epigenetic regulation in Arabidopsis. doi.org/10.1038/s414...

Fellowship application dealdine for students from low income countries 🌐will be in 1️⃣ week. Dont miss out on this opportunity ! Hands on Summer School. Cut&Run, Cut@Tag, ChIP, ATACseq and analyse your own data ! ➡️Unique opportunity ! 15 exiting days ➕ Daily high profile lectures. 👉 bit.ly/4oGDR8f

Summary - Summer School on Chromatin Biology: A Hands-On Expedition

bit.ly

Helmholtz Munich@helmholtzmunich.bsky.social · 6mo ago

The Epigenetics Community at #HelmholtzMunich, together with #Abcam, is hosting the 3rd #Chromatin #SummerSchool in Munich: 📆 17–29 August 2026 ⏰ Apply by March 29, 2026 👉 Applications & info: bit.ly/4oGDR8f @epihmgu.bsky.social @metorrespadilla.bsky.social @robertife.bsky.social

Summer School on Chromatin Biology 2026
Hands-on Expedition at Helmholtz Munich

Dont miss out on it ! Hands on Summer School. Cut&Run, Cut@Tag, ChIP, ATACseq and analyse your own data ! ➡️Unique opportunity ! 14 exiting days ➕ Daily high profile lectures. 👉 Applications & info: bit.ly/4oGDR8f

Helmholtz Munich@helmholtzmunich.bsky.social · 6mo ago

The Epigenetics Community at #HelmholtzMunich, together with #Abcam, is hosting the 3rd #Chromatin #SummerSchool in Munich: 📆 17–29 August 2026 ⏰ Apply by March 29, 2026 👉 Applications & info: bit.ly/4oGDR8f @epihmgu.bsky.social @metorrespadilla.bsky.social @robertife.bsky.social

Summer School on Chromatin Biology 2026
Hands-on Expedition at Helmholtz Munich

Our new preprint is out: www.biorxiv.org/content/10.6... We show that GRN benchmarks commonly used can overestimate performance due to negative-sampling choices, sometimes allowing simple degree-based baselines to rival more complex GNNs. A reminder of why bias-aware evaluation matters!

Hidden sampling biases inflate performance in gene regulatory network inference

Accurate reconstruction of gene regulatory networks (GRNs) from single-cell transcriptomic data remains a major methodological challenge. Recent machine learning approaches, particularly graph neural ...

biorxiv.org