Informatics on High Throughput Sequencing Data (2014)

Course Objectives

A poster announcing this workshop can be found here

With the introduction of high-throughput sequencing platforms from Illumina, Roche and ABI, it is becoming feasible to consider sequencing approaches to address many research projects. However, knowing how to manage and interpret the large volume of sequence data resulting from such technologies is less clear. The CBW has developed a 2-day course covering the bioinformatics tools available for managing and interpreting high-throughput sequencing data.

Beginning with an understanding of the workflow involved to move from platform images to sequence generation, participants will gain practical experience and skills to be able to:

  • Assess sequence quality
  • Map sequence data onto a reference genome
  • Quantify sequence data
  • Integrate biological context with sequence information

Course Material

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

Module 1 - Visualization Tools (2014) (Marc Fiume)

application/vnd.ms-powerpoint iconPPT (2MB) | application/pdf iconPDF (1MB) | video/mp4 iconMP4 (19MB)

Module 2 - Reference-guided Genome Alignment (2014) (Faculty: Michael Stromberg)

application/pdf iconPDF (1MB)

Module 3 - Small-variant calling and annotation (2014) (Faculty: Michael Stromberg)

application/pdf iconPDF (2MB) | video/mp4 iconMP4 (334MB)

Module 4 - Structural variant calling (includes CNVs) (2014) (Faculty: Aaron Quinlan)

application/pdf iconPDF (18MB)

Module 5 - Visual Analysis (2014) (Faculty: Marc Fiume)

application/vnd.ms-powerpoint iconPPT (3MB) | application/pdf iconPDF (3MB) | video/mp4 iconMP4 (26MB)

Module 6 - Bringing it all together: Galaxy (2014) (Faculty: Francis Ouellette)

application/vnd.openxmlformats-officedocument.presentationml.presentation iconPPTX (15MB) | application/pdf iconPDF (16MB) | video/mp4 iconMP4 (357MB)

Optional Module 7 - De Novo Assembly (2014) (Faculty: Jared Simpson)

application/pdf iconPDF (1MB) | video/mp4 iconMP4 (254MB)