(2021) Microbiome Analysis
Date: 1 - 3 September 2021
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.
Learning objectives:
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 rigorous data analysis Visualize datasets to gain intuitive insights into the composition and/or activity of their data set
Capacity: 40
Event types:
- Workshops and courses
Instructors: William Hsiao, Robert Beiko, Fiona Brinkman, Morgan Langille, Laura Hug, John Parkinson
Activity log
