This course provides an introduction to the QC, processing and analysis of RNA-Seq data. It focuses on a workflow where RNA-Seq is performed on a large eukaryotic genome for which there is a reference genome available. The course starts with a comprehensive lecture covering the theory of RNA-Seq data generation and analysis and is then followed by hands-on practical sessions which run though the entire RNA-Seq analysis pipeline from raw fastq files to a list of differentially expressed candidate genes.
Number of course hours : 8
Level: Medium
Topics Covered:
Course Content:
- The theory of RNA-Seq analysis
- Raw data QC
- Mapping RNA-Seq data with hisat2
- Viewing RNA-Seq data with SeqMonk
- Differential expression analysis with DESeq
- Reviewing and visualising differential expression hits
- Analysing more complex multi-condition studies