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Microbiome Data Analysis Using QIIME2 (MBQM01)

24 June 2019 - 28 June 2019

Course Overview:

This course will provide a theoretical, analytical and practical introduction to QIIME 2 (canonically pronounced ‘chime two’), which stands for Quantitative Insights into Microbial Ecology 2, and Qiita (canonically pronounced ‘cheetah’), a multiomics and multi-study online tool. QIIME 2 and Qiita are open source software packages for comparison and analysis of microbial communities, primarily based on high-throughput amplicon sequencing data (such as SSU rRNA) generated on a variety of platforms, but also supporting analysis of other types of data (such as shotgun metagenomic, metabolomics or proteomics). The main Qiita deployment (http://qiita.microbio.me/) allows users to manage and analyze large studies, their metadata and the multiple data types generated from the same samples. Additionally, it allows users to combine their samples with other published and public studies available in the system. QIIME 2 is a stand-alone environment for the analysis of individual microbiome data sets that can be used on your laptop, university computational resources, and cloud computing resources.

Course objectives:

By the end of the course, participants will be able to:

  1. Understand the most recent QIIME2 and Qiita features for microbial community analysis
  2. Select the best workflow and parameters to perform the different steps for microbial community analysis
  3. Understand and apply on their own datasets different phylogenetic and non-phylogenetic metrics to compare microbial diversity samples
  4. Upload and analyze their own datasets using Qiita and compare their studies with other public studies

To find out more or to book online via our sister company (PR informatics) use the link below…

Microbiome Data Analysis Using QIIME2 (MBQM01)

Details

Start:
24 June 2019
End:
28 June 2019

Venue

PR informatics head office
53 Morrison Street
Glasgow, Scotland G5 8LB United Kingdom
+ Google Map
Phone:
07966500340
Website:
www.prstatistics.com