Excited to publish MosaiCatcher v2! A cutting-edge snakemake workflow for Structural Variation (SV) detection at the single-cell level using Strand-seq data. Dive into our twittorial to learn more! 🧵
Many thanks to @JanKorbel5 & Marco Cosenza ! #EMBL
https://t.co/qKZT02TsK1
I'm very happy to announce that MultiQC v1.15 was just released! 🎉
https://t.co/yHwXNtRcv9
It comes with 🐛 fixes for @10xGenomics#CellRanger fix, #mosdepth tweaks, and supports a new tool #Librarian to predict library type from FastQ base composition 🕵🏻♂️🧬 plus much more! 🧵
📢📢Dear friends, our new software, Splam, a deep learning-based splice junction predictor, is now officially released🎉If you do RNA-Seq data analysis or need a reliable tool to evaluate splice junctions/introns, Splam is the perfect fit for you
🔗 https://t.co/R345pehx5l
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“Change the world” is a phrase we hear a lot. But Demis Hassabis and John Jumper @DeepMind did. AlphaFold has solved the protein structure prediction problem, one of the central challenges in biology and medicine. They win the 2023 Breakthrough Prize in Life Sciences.
Work with snakemake pipelines? Need to process data using conditional execution? Let's get a look at my tutorial on #snakemake checkpoints 🐍 1/2
#Bioinformatics
Thanks to @CRBS_Strasbourg, for giving us the opportunity to share our research at #CRBSdays!
It was a pleasure to present #Spliceator, a universal predictor of eukaryotic splice sites.
🎉 We've crossed 6000 Benchmarks! 🎉
We now maintain more than 6.4K benchmarks for machine learning. A huge thanks to the research community for ongoing contributions.
Browse all benchmarks here: https://t.co/stfzzn0IfM
It was a pleasure to participate to the 'Journées du Campus d'Illkirch 2021' and to be awarded one of the two prizes for the 'Best oral presentation'. I had the opportunity to present my project about splice site prediction using deep learning algorithm.
Thanks to the committee!