This site is a development preview. As such the content and styling may not be final and is subject to change before going into production. To see more information about the redesign click here.

:section_navigation => has_subnav?(@item) && subnav_items(@item).length > 0) %>

Computational Statistics for Genome Biology (CSAMA)

Breassanone-Brixen, Italy

2011-06-26 ~ 2011-07-01

Instructors

  • Vincent J. Carey
  • Robert Gentleman
  • Kasper Daniel Hansen
  • Wolfgang Huber
  • Martin Morgan

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