Discover Evolutionary Insights with RNA-Seq: Live Online Training (RNAA01) https://www.prstats.org/course/rna-seq-analysis-rnaa01/ Transcriptomes hold the key to understanding adaptation, divergence, and gene regulation across species. If you're an evolutionary biologist working with bulk RNA-Seq, this course will give you the tools to unlock those insights with confidence. What you'll learn: How todesign RNA-Seq experimentsfor evolutionary questions from population comparisons to phylogenetic transcriptomics. Performquality control and alignmentto ensure robust results across diverse datasets. UseDESeq2to test hypotheses about differential expression linked to adaptation, stress response, or speciation. Visualise expression patterns withPCA, MA and volcano plots, and link gene expression shifts to functional pathways. Applyfunctional enrichment analysisto generate testable evolutionary hypotheses. Course format: 4 live online sessions(26-29 Jan 2026, ~3.5h/day) recordings provided. Hands-on practicals inRandLinux, with data and code you can adapt to your own projects. Post-course support for 30 days to help with your research questions. Who it's for: Postgraduates, postdocs, and researchers inevolutionary and ecological genomicswith basic R and Linux skills, looking to move from raw RNA-Seq data to evolutionary inference. Instructor: Dr Frances Turner experienced bioinformatician helping researchers build reproducible pipelines and extract biological meaning from transcriptomes. Fees:350 (early-bird 325 for first 5 places). Turn RNA-Seq data into evolutionary discovery. Secure your place now:RNA-Seq Analysis (RNAA01) -- Oliver Hooker PhD. PR stats Oliver Hooker (to subscribe/unsubscribe the EvolDir send mail to golding@mcmaster.ca)