Differential Expression for RNA-Seq


In this lecture, Wolfgang Huber, Group Leader in the Genome Biology Unit at EMBL Heidelberg, gives an introduction to RNA-Seq data as well as the statistical and computational methods used to analyse such data.

This lecture was followed by a practical that focused on the use of the Bioconductor DESeq package for the analysis of differential expression and RNA-seq style analysis. The practical is the vignette of the DESeq package and can be downloaded here, together with the code.

In order to follow this practical you will need to install the following Bioconductor packages in your R session: