This lesson is still being designed and assembled (Pre-Alpha version)

RNA-seq analysis with Bioconductor

FIXME: This lesson introduces the learner to RNA-seq analysis with Bioconductor.


  • Familiarity with R, for example corresponding to the ‘Introduction to R’ module.
  • Familiarity with statistical hypothesis testing (e.g., t-tests) and p-values.
  • Familiarity with the biological basics of gene expression and RNA sequencing.


Setup Download files required for the lesson
00:00 1. Introduction and setup
00:00 2. Introduction to RNA-seq What is RNA-seq?
00:00 3. Experimental design How do we design experiments optimally?
How do we interpret a given design?
00:00 4. Importing and annotating quantified data into R How do we get our data into R?
00:00 5. Exploratory analysis and quality control
00:00 6. Differential expression analysis How do we find differentially expressed genes?
00:00 7. Gene set analysis How do we find differentially expressed pathways?
00:00 Finish

The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.