R for Biological Data Analysis
-
Part 1 (R with a biological twist)
- Importing data from a spreadsheet
- selecting columns
- restricting rows with filter
- summarising data, and grouping
- boxplots and bar plots
- "piping" to create short workflows
- TO-DO make some exercises
-
Part 2 (Tidy RNA-seq)
- Import some RNA-sequencing counts
- long vs wide data
- Using PCA as QC diagnostic
- Differential expression to find statistically-significant genes
- Associating statistical findings with biological and clinical significance