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