Congratulations to Michael Goneos for delivering an excellent prize-winning talk: "Pilot discovery of allele-specific RNA modifications."
Thank you D.C. for a great time at ISMB 2026!
#ISMB#HITseq#Nanopore@mason_lab@ISMBinfo@iscb
Check out our new roadmap for single cell analyses of adipose tissue at @NatMetabolism 🧐 Thrilled to share our work put together by amazing colleagues from Adipose Bionetwork in @humancellatlas 🤩 Huge thanks to my fellow co-coordinators @susmandrup Evan D. Rosen and Margo Emont
Our work from the @Axiom_Space Ax-2 missions has been published! Thank you to Dr. Bader Shirah for leading this monumental effort, our partners across academia & the team at @IIAS_NLC for making this happen. Truly a good year for space-based neuroscience research. 🧠🚀👩🏽⚕️🏥🌠
(1) Finally out, after one of the most painful and long reviews (with nitpicky reviews, see my last comment) is a method that I am extremely proud of and excited about. One of the best in my career: https://t.co/H31ZezbA1J
🎮 Multiplayer IGV, anyone?
Here's a sneak peek of a prototype I built to enable scientists to collaborate on a shared IGV.js view. It uses WebSockets and Cloudflare Durable Objects to sync state.
🩹Bioprinting bandages
🩺Cancer research
👕Space stain remover
🔬Student experiments
And more will launch aboard the next @Space_Station commercial resupply launch! Explore the research: https://t.co/EigH4GhknE
Our newest work Chromap for fast chromatin profiling analysis is published on Nature Communications today! Chromap significantly reduces the pain of waiting in the era of deep sequencing and single-cell analysis. @haowen_zhang@XShirleyLiu@lh3lh3 https://t.co/lVlKlxa20z
Are the ChIP-seq/(sc)ATAC-seq/Hi-C communities jealous of RNA-seq community for fast data processing with Kallisto/Salmon? With joint forces from @haowen_zhang@XShirleyLiu@lh3lh3, we are thrilled to present Chromap for fast chromatin profiling analysis. https://t.co/eFrWcR4Uv3
`ffq` (Fetch FastQ) is a new command line tool that makes it easier to find #sequencing data from the SRA / GEO / ENA. Importantly `ffq` does not download files, just file metadata / download links in #json format
https://t.co/iWwOgMPyB0
developed by @lioscro and myself.
A little feature of the latest #bioinformatics#computationalbiology#compbio video on MakeTheBrainHappy - Scientific Exploration, answering how you can calculate effective length in order to correct for length-based differences in RNA count matrices!
Here we describe what the mean fragment length represents and how to calculate the effective length for an #RNAsequencing experiment. - @MakeBrainHappy https://t.co/uEgEtI7F8I