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MICROBIOME DATA ANALYSIS USING QIIME2 (MBQM01)

Oliver Hooker, May 24, 2019
 

MICROBIOME DATA ANALYSIS USING QIIME2 (MBQM01)

https://www.prinformatics.com/course/microbiome-data-analysis-using-qiime2-mbqm01/

This course will be delivered by from the 24TH – 28TH June 2019 in Glasgow City Centre.

Course Overview:

This course is relevant to any seabird researchers studying microbiome data of marine mammals such as differences in gut bacterial communities etc.

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

Email oliverhooker@prinformatics.com

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  1. June 10th – 14th 2019

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www.prinformatics.com/course/advanced-python-biologists-apyb03/

  1. June 24th – 28th 2019

MICROBIOME DATA ANALYSIS USING QIIME2 (MBQM01)

Glasgow, Scotland, Dr. Yoshiki Vazquez Baeza, Dr. Antonio Gonzalez Pena

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  1. July 1st – 5th 2019

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  1. October 7th – 11th 2019

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  1. November 18th – 22nd 2019

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