"Both research papers and salami can be cut into multiple, smaller pieces."

Insightful.

en.wikipedia.org/wiki/Least_p...

Proud to announce our paper ‘Transcriptomic Analysis of the Human Habenula in Schizophrenia’ from @lieberinstitute.bsky.social is the cover article for the November issue of the American Journal of Psychiatry! 🧠 #HabenulaLIBD #snRNAseq #Habenula doi.org/10.1176/appi...

A Most Powerful Test for Gene-Gene Interaction in the Presence of Main Effects https://www.biorxiv.org/content/10.64898/2026.01.30.702572v1

I made a filterlist for uBlock Origin to remove Generative AI features on websites. Includes blocks for
* Google AI Summaries
* YouTube Ask button & chat summaries
* GitHub Copilot
* Facebook AI chat
* X's Grok buttons
* Deviantart DreamUp
* Booru AI images
* And more

github.com/Stevoisiak/S...

A reminder that proteins are highly dynamic molecules.

🟧 We have made much progress in measuring & predicting static protein structures, but the dynamics that animate life remain challenging to measure & model.

Guide to multi-omics integration with toy examples: supervised latent components (DIABLO), unsupervised shared/partial/unique structure (DIVAS), VAEs/conditional VAEs, and key baselines (MOFA, JIVE, SNF) with practical tips + code. github.com/Trhova/Multi...

Advancing regulatory variant effect prediction with AlphaGenome www.nature.com/articles/s41... 🧬💻🧪
Code: github.com/google-deepm...
Author roundtable: www.youtube.com/watch?v=V8lh...

This preprint combines cell-line scRNA-seq reanalysis with bulk LUAD checks in cBioPortal. The cross-dataset consistency for metabolic and cell cycle terms is encouraging.

🚨 Alarm!!! 🚨
AI/ML course for microscopy image analysis!!! 🧐
In 2026 at Janelia (@hhmijanelia.bsky.social), no tuition, housing and meals provided! Isn’t that borderline unbelievable?!?

20 students, ~14 TAs and lecturers
🗓️ June 4-18 2026

✍️ Jan 15 2026 ✍️

🔁 pls!!

www.janelia.org/you-janelia/...

I was lucky enough to inherit a bunch of racks where a graduate student had labelled all of them with Rack jokes 😂, perfect. I am dead at Racksputin.

Most of what makes cells functionally distinct happens at the post-transcriptional level, but we spent a decade obsessing over transcriptomics.

scRNAseq is powerful precisely because it's incomplete.

It forces us to think about what it doesn't capture.

Great work by Hengxin Pan presenting at #abacbs2025 from @nadia-davidson.bsky.social lab @wehi-research.bsky.social CONCERTDR: an R package with a comprehensive suite of tools for drug response data analysis
github.com/DavidsonGrou...

Nature research paper: Semantic design of functional de novo genes from a genomic language model

go.nature.com/48uEnAn

scRNAseq forced us to realize that cell types we'd carefully defined in textbooks for decades were meaningless—they were just convenient categories drawn around the densest clusters in transcriptional space. Nature doesn't actually sort cells that way.

Single-cell RNA-seq is younger than the iPhone. 🤯 The first bona fide scRNA-seq transcriptomes were published in 2009 by Tang et al., who sequenced individual mouse cells and showed you could capture a whole transcriptome from a single cell. From “sci-fi” to standard tool in just over a decade...

We have started the course on #scRNAseq using R and @bioconductor.bsky.social with Jacques Serizay @almeidasilvaf.bsky.social & an international cohort of attendees working on very different cool projects.

#singlecell #RNAseq #Genomics #Bioinformatics

1/  Mapping quantitative data to color www.nature.com/articles/nm...