RNA-Seq and ChiP-Seq Data Analysis

EMBL Heidelberg, Germany

2011-06-20 ~ 2011-06-22

Instructors

• Martin Morgan
• Vladimir Benes
• John Marioni
• Nicolas Delhomme
• Simon Anders

Description

{:"The course covers data analysis of ChIP-Seq and RNA-Seq experiments"=>"Alignment, data handling and visualisation, region identification, differential expression, data quality assessment, integrative bioinformatic and statistical analysis, using R/Bioconductor as well as other open source software tools. This 2.5 day course is a mix of lectures and practical computer labs (1.5 days and 1 day, respectively). Familiarity with computer programming and the technology and biological use cases of high throughput sequencing is required, as is some experience with R/Bioconductor."}

Materials

• Photos
  • Bioconductor-RNASeqChIPSeq-2011_9426.jpg
• Labs
  • README.txt
  • Annotation-lab.pdf
  • QA-lab.pdf
• Lectures
  • GeneCore-MPS-June2011.pdf
  • SequenceAnalysis-slides.pdf
  • Nicolas-Delhomme_EMBL-Advanced-Course-RNA-Seq-ChIP-Seq-Data-Analysis_June-2011.pdf
  • QA-slides.pdf
  • Marioni_ChIPseq_course.pdf
  • RNASeq-DifferentialExpression-SimonAnders.pdf
  • Annotation-slides.pdf
• Packages
  • EMBL2011_0.2.0.tar.gz An R package containing slides and exercise material. Download, then install in R using install.packages(“EMBL2011.0.2.0.tar.gz”, repos=NULL, type=”source”)