Alternative splicing as a source of phenotypic diversity go.nature.com/3yW3Q3V #Review by Charlotte Wright, Christopher W. J. Smith & Chris Jiggins Wellcome Sanger Institute Darwin Tree of Life Dept of Zoology Cambridge Biochemistry RNA labs

#FeaturedProtocol: Reconstruction, simulation and analysis of enzyme-constrained #metabolicmodels using GECKO toolbox 3.0 bit.ly/3u6Iy50 #iclip2

Our website micos.ugent.be had an upgrade thanks to Baryon. Read now our latest blog post about our microplastic research in agricultural fields! #microplasticresearch #erc

Interested to know how #reprocessing and reusing existing #proteomics #data helps uncover the unknown? Let's have a beer and talk about this at DataBeers Brussels this Thursday. Details below! See you soon! #bigdata #humanproteome

Why do Random Forests perform so well off-the-shelf & appear essentially immune to overfitting?!? I’ve found the text-book answer “it’s just variance reduction 🤷🏼‍♀️” to be a bit too unspecific, so in our new pre-print arxiv.org/abs/2402.01502, Alan Jeffares & I investigate..🕵🏼‍♀️ 1/n

.Hector RdB, @koenvdberge_be, Kelly Street & Sandrine Dudoit present condiments for the inference and downstream interpretation of cell trajectories across multiple conditions #BiotechNatureComms nature.com/articles/s4146…

If you’re interested in learning more about single-cell and spatial transcriptomics and proteomics, join us for CSAMA 2024 in the beautiful Italian Alps! List of faculty, topics, and registration info at csama2024.bioconductor.eu

Excited to talk about our long-read benchmarking work next week!

How can we improve trustworthiness of cell type classifiers ? Well, for example by combining uncertainty quantification with hierarchical models with a reject option. Read all about it in Lauren Theunissen's first paper at academic.oup.com/bioinformatics… #AIFlanders

🧬Easily & effortlessly generate communities of genome-scale metabolic models with PyCoMo for #COBRA ‼️Plus: Fully compliant w #SBML standards‼️ Check out doi.org/10.1093/bioinf… Excellent collaboration lead by #MichaelPredl & #MarianneMiesskes w #CUBE @univie_stem ⚙️

I am deeply honored and humbled to be recipient of an advanced ERC award #ERCAdG to spearhead research on Assumption-lean (Causal) Modeling and Estimation. Ghent Data Analysis and Statistical Science @UGent_fwe Ghent University Research @UGent European Research Council (ERC) 1/2

📢new preprint from our lab: Multiscale pathway simulation coupled with host metabolism. It combines genome-scale, kinetic and #MachineLearning models. biorxiv.org/content/10.110… Fab work by Charlotte Merzbacher with Oisin Mac Aodha #syntheticbiology #AI #Bioinformatics

Papers submissions open for “Advancements in Biological Network Analysis”, at CIBB 2024 (19th conference on Computational Intelligence Methods for Bioinformatics and Biostatistics), September 4-6, Benevento, Italy. Deadline: 15th May bioinformatics-sannio.org/cibb2024/index…

Exhilarated to announce I've been tenured at DTU 🤯🥳. Thanks to Casey Greene and Tuuli Lappalainen for taking the time to evaluate my application 🙏 The timing is perfect, as I have 3 bioinformatic openings (both PhD and postdoc) - see👇 Retweets are sincerely appreciated 😊

After four years of user feedback and experience, our NicheNet best practices guideline is now available on arXiv! arxiv.org/abs/2404.16358 Also check out our revamped GitHub repository that incorporates these changes: github.com/saeyslab/niche… (1/2)

I have several exciting openings for PhD students and postdocs in the context of my advanced ERC grant #ERCAdG on Assumption-lean (Causal) Modeling and Estimation. Please spread the news! users.ugent.be/~svsteela/ Ghent Data Analysis and Statistical Science @UGent_fwe Ghent University Research @UGent European Research Council (ERC)

📢New preprint from our lab Self-supervised learning for fluxomic data preserves structure across cell types Charlotte Merzbacher ANC@Edinburgh #sysbio #synbio #ML #metabolicmodelling #cobrapy biorxiv.org/content/10.110…

Strategies for addressing pseudoreplication in multi-patient scRNA-seq data biorxiv.org/cgi/content/sh… #biorxiv_bioinfo