🚀 Big update to iDEP — our popular app for RNA-seq and omics data analysis. Visualize, analyze, & unveil pathways. In minutes! What’s new 1. Updated annotation of 13,000 genomes 2. Cleaner, faster UI with improved docs 3. Import external fold-change & p-value tables, then run clustering and pathway analysis. Why iDEP? iDEP brings together hundreds of R packages and thousands of annotation resources so any biologist can interpret RNA-seq data interactively. It is a massive Shiny app with a huge database, taking 8 years and over $1M to develop! Key features: 1. End-to-end workflow: exploratory analysis, differential expression, and pathway analysis for bulk RNA-seq or other gene-level summaries 2. Rich, interactive visuals: clustering, KEGG pathways, genome views, and more 3. Flexible use: run on the web, as an R package, or via Docker 4. Reproducibility by design: download the generated R code, data objects, reports If you work with RNA-seq or other omics data, give the new iDEP a spin—and let us know what you think! iDEP: bioinformatics.sdstate.edu/i… #RNAseq #Bioinformatics #Omics #Shiny #RStats #DataScience #Genomics #ReproducibleResearch