Computational Statistics for Genome Biology (CSAMA)

Bressanone/Brixen, Italy

2012-07-02 ~ 2012-07-06

Instructors

Description

This one week intensive course will give insights into recent advances in statistical and computational aspects of the design and interpretation of genome-scale experiments. The topics will include all aspects of the data analysis of high-throughput sequencing for transcriptomics (RNA-Seq) and chromatin dynamics (ChIP-Seq). The course is intended for researchers with a basic understanding of these technologies and their associated statistical and computational challenges. The four practical sessions of the course will require basic programming in the language R.

Materials

Slides

Install the package for Friday's lab, using R-2.15, as follows:

source("http://bioconductor.org/scratch-repos/pkgInstall.R")
pkgInstall("ReadsAlignmentsVariantsLab")

Bioconductor Release »

Packages in the stable, semi-annual release:


Bioconductor is also available as an Amazon Machine Image.
Fred Hutchinson Cancer Research Center