Informatics for RNA-seq Analysis (2016)

Course Objectives

A poster announcing this workshop can be found here

High-throughput sequencing of RNA libraries (RNA-seq) has become increasingly common and largely supplanted gene microarrays for transcriptome profiling. When processed appropriately, RNA-seq data has the potential to provide a considerably more detailed view of the transcriptome. The CBW has developed a 2-day course providing an introduction to RNA-seq data analysis followed by integrated tutorials demonstrating the use of popular RNA-seq analysis packages. The tutorials are designed as self-contained units that include example data (Illumina paired-end RNA-seq data) and detailed instructions for installation of all required bioinformatics tools (TopHat, Cufflinks, etc.). De novo assembly of transcripts is not covered.

Participants will gain practical experience and skills to be able to:

  • Align RNA-seq data to a reference genome (required)
  • Estimate known gene and transcript expression
  • Perform differential expression analysis
  • Discover novel isoforms
  • Visualize and summarize the output of RNA-seq analyses

Course Material

Open Access LogoCanadian Bioinformatics Workshops promotes open access. Past workshop content is available under a Creative Commons License.

Module 1 - Introduction to Cloud Computing (2016) (Faculty: Obi Griffith)

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Module 2 - Introduction to RNA sequencing and analysis (2016) (Faculty: Malachi Griffith)

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Module 3 - RNA-seq alignment and visualization (2016) (Faculty: Fouad Yousif)

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Module 4 - Expression and Differential Expression (2016) (Faculty: Obi Griffith)

application/pdf iconPDF (2MB) | application/vnd.openxmlformats-officedocument.presentationml.presentation iconPPT (2MB) |  iconYouTube (0KB)

Module 5 - Isoform Discovery and Alternate Expression (2016) (Faculty: Malachi Griffith)

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Module 6 - Reference free analysis (2016) (Faculty: Obi Griffith)

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