Module Overview
Sequencing of RNA molecules allows investigation of various aspects of biology, including changes in gene expression, post-translational modifications and identification of novel transcripts. This module focusses on the most common usage of RNA-Seq: determination of differential gene expression. Amongst the topics covered are considerations in experimental design, sequencing strategy, assessment of RNA-Seq data, determination of differential expression and visualisation of results.
Learning Outcomes
- Design reproducible RNA-Seq experiments
- Understand the importance of replicates and sample variance
- Determine differential gene expression from read alignments
- Analyse RNA-Seq data using pseudo-alignment methods
- Produce visualisations of RNA-Seq results
Prerequisite Modules/Knowledge
- Introduction to Linux
- The HPC Cluster
- Introduction to NGS
- Read Alignment
- Introductory Statistics with R