Description: A full course covering best practices for RNAseq data analysis, with a primary focus on empowering students to be independent in the use of lightweight and open-source software and the R/bioconductor environment.
A semester-long course covering best practices for the analysis of high-throughput sequencing data from gene expression (RNA-seq) studies, with a primary focus on empowering students to be independent in the use of lightweight and open-source software using the R programming language and the Bioconductor suite of packages. This course follows a hybrid format in which online lectures are paired with in-person labs where students participate in hands-on, live coding exercises using real ‘omic datasets. The co
precourse lectures
A brief (but important!) overview that describes how the course is structured and how you can get the most from the material on this website.