A practical introduction to RNA sequencing and interpretation of gene-expression data for life-science researchers. Topics include sequencing technologies, experimental design, file formats, quality control, mapping, visualisation, functional annotation, long-read analysis and Nextflow pipelines. Participants use ENA, GEO, SRA, Expression Atlas and g:Profiler with small teaching datasets; personal-data analysis is outside the course. Pre-recorded and live teaching, exercises and discussions run through Zoom, Slack and EMBL-EBI virtual machines. Basic R and Linux experience helps but is not ess
Feb 22–26, 2027