- L03: Overview of Bioconductor packages for short read analysis
- L05: Microarray normalisation
- L06: Array quality metrics
- L08: Multiple testing and independent filtering
- L09: Processing data from high-throughput sequencing experiments
- L10: Rsamtools and Work Flows with Larger Data
- L12: Bioconductor sequence infrastructure
- L13: Gene and genome annotation
- L14: Processing data from high-throughput sequencing experiments II
- L16: Cell-Assay Image Analysis
- L17: ChIP-Seq Concepts and Applications
- L18: Differential expression analysis for sequencing count data
- L19: Clustering and classification with microarray data and images
- Basic R tutorial
- Lab 3: Reading and Manipulating Short Reads
- Lab 4: An Introduction to Rsamtools
- Lab 7: A ChIP-Seq Workflow
- Lab 8: RNA-seq Use Case
- CSAMA10_0.0.3.tar.gz package - An R package
containing slides and exercise material. Download, then install in R using
install.packages("CSAMA10_0.0.3.tar.gz", repos=NULL, type="source")
