Afternoon Practicals (Labs)

Generating quality metrics reports for microarray data sets
String manipulations, efficient matching, and alignments using Biostrings
Data mining with biomaRt and data visualization using GenomeGraphs
Using limma for differential expression
Using annotations and metadata in Bioconductor
Using EBImage and imageHTS for analysing High Content Screens
Using cellHTS2 for cell based assays
Parallel Computing in R
GGtools: genetics of gene expression with Bioconductor
ShortRead: tools for input and quality assessment of high-throughput sequence data
Automating the data import from the ArrayExpress database into Bioconductor
Using the chipseq package to analyze high throughput sequence data
Analyzing flow cytometry data in Bioconductor
Using R in genome-wide analyses
Fred Hutchinson Cancer Research Center