Analysis of Metagenomic Data
Course Objectives
Metagenomics, the sequencing of DNA directly from a sample without first culturing and isolating the organisms, has become the principal tool of “meta-omic” analysis. It can be used to explore the diversity, function, and ecology of microbial communities. The CBW has developed a 3-day course providing an introduction to metagenomic data analysis followed by hands-on practical tutorials demonstrating the use of metagenome analysis tools. The tutorials are designed as self-contained units that include example data and detailed instructions for installation of all required bioinformatics tools.
Participants will gain practical experience and skills to be able to:
- Design appropriate microbiome-focused experiments
- Understand the advantages and limitations of metagenomic data analysis
- Devise an appropriate bioinformatics workflow for processing and analyzing metagenomic sequence data (marker-gene, shotgun metagenomic, and metatranscriptomic data)
- Apply appropriate statistics to undertake rigourous data analysis
- Visualize datasets to gain intuitive insights into the composition and/or activity of their data set
Course Material
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Module 1 - Introduction to Metagenomics (2015) (Faculty: Robert Beiko)
Instructor(s): Robert Beiko
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Module 2 - Marker Gene-based Analysis of Taxonomic Composition (2015) (Faculty: William Hsiao)
Instructor(s): William Hsiao
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Module 3 - Metagenomic Taxonomic Composition (2015) (Faculty: Morgan Langille)
Instructor(s): Morgan Langille
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Module 4 - Metagenomic Functional Composition (2015) (Faculty: Morgan Langille)
Instructor(s): Morgan Langille
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Module 5 - Metatranscriptomics (2015) (Faculty: John Parkinson)
Instructor(s): John Parkinson
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Module 6 - Biomarker Selection (2015) (Faculty: John Parkinson)
Instructor(s): John Parkinson