2013-05-28 ~ 2013-05-29
Intermediate R / Bioconductor for High-Throughput Sequence Analysis introduces users with some R experience to common Bioconductor work flows for sequence analysis. The course involves a combination of presentations and hands-on exercises. Our starting point is BAM files created by aligning short reads to a reference genome. Topics include exploratory analysis (GenomicRanges, Rsamtools); assessing differential expression of known genes (DESeq); detection, calling, and manipulation of variants (VariantTools, VariantAnnotation). We learn how to integrate results with curated gene and genomic annotations (GenomicFeatures), and to visualize results (GViz, ggbio).
Users of R 3.0 / Bioconductor 2.12 can install the package with
Bioconductor Release »
Packages in the stable, semi-annual release:
Common Bioconductor workflows include: