Informatics on High-throughput Sequencing Data
Course Objectives
With the introduction of high-throughput sequencing platforms, 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 popular 2-day course covering the bioinformatics tools available for managing and interpreting high-throughput sequencing data, where the focus is on Illumina reads although the information is applicable to all sequencer reads.
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 (required)
- Quantify sequence data
- Integrate biological context with sequence information
Course Material
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Module 1 - Introduction to HT-seq and Cloud Computing
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Module 2 - Genome Alignment
Instructor(s): Mathieu Bourgey
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Module 3 - Genome Visualization
Instructor(s): Florence Cavalli
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Module 4 - De Novo Assembly
Instructor(s): Jared Simpson
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Module 5 - Genome Variation
Instructor(s): Guillaume Bourque
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Module 6 - Genome Structural Variation
Instructor(s): Guillaume Bourque
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Module 7 - Bringing it Together with Galaxy
Instructor(s): David Morais