RNA-Seq Analysis

This course builds on the core skills introduced in the Introduction to R, Introduction to Unix and Introduction to SeqMonk courses to provide a more in depth look at the analysis of RNA-Seq data. The course starts with a comprehensive lecture covering the theory of RNA-Seq data generation and analysis and is then followed by a long hands-on practical session which runs though the entire RNA-Seq analysis pipeline from raw fastq files to a list of differentially expressed candidate genes.

Course Content

  • The theory of RNA-Seq analysis
  • Raw data QC
  • Mapping RNA-Seq data with tophat
  • Viewing RNA-Seq data with SeqMonk
  • Differential expression analysis with DESeq
  • Reviewing and visualising differential expression hits

Course Material

Authors: Simon Andrews

Scientific topics: RNA-Seq


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