Introduction to RNA sequencing data analysis with R/Bioconductor

Build a statistically rigorous RNA-seq analysis in R and Bioconductor. The workshop develops data import and visualisation skills, hypothesis testing and genomic interval analysis before covering read mapping, count normalisation, differential expression and multiple-testing correction. Practical comparisons include DESeq2, edgeR and limma/voom. The final session interprets functional pathways using overrepresentation and permutation-based gene-set enrichment analysis.

Six live online sessions on 2, 3, 5, 6, 9 and 10 November, 15:00–18:00 Europe/Berlin (CET). Fee €530. Basic R programming and genomics knowledge are expected; previous statistical training is unnecessary.