Day 2 learning objectives
We will use the analysis ready gene-count data generated in part 1 of the series to perform differential gene expression and functional enrichment analyses.
Set up R/RStudio
- Run RStudio on Nimbus
- Import the read-count matrix in R/RStudio
Exploratory analysis
- Learn how to perform exploratory analysis using DESeq2
- Learn how to perform principal component analysis
- Learn how to check the quality of the data and experimental design
Differential expression
- Create and understand the DESeq2 dataset object
- Identify differentially expressed genes
- Visualise differentially expressed genes
Enrichment anaylsis
- Understand and perform functional enrichement analysis using gene ontology terms
- Visualise enriched gene ontologies and pathways
All materials copyright Sydney Informatics Hub, University of Sydney