Name: How to analyze metagenomic and amplicon data in Galaxy
Start: 2017-06-28T12:30:00+0200
End: 2017-06-28T15:00:00+0200

The 2017 Galaxy Community Conference (GCC2017) is being held in Montpellier, France, 26-30 June. GCC2017 will include keynotes and accepted talks, poster sessions, demos, birds-of-a-feather meetups, exhibitors, and plenty of networking opportunities. There will also be three days of pre-conference activities, including hackathons and training. If you work in data-intensive biomedical research, there is no better place than GCC2017 to present your work and to learn from others.

The full printed program is also available.

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How to analyze metagenomic and amplicon data in Galaxy

➔ Slides (web), Tutorial (web)

After metagenomic data generation, you need to extract useful information such as the taxonomic composition of your samples or the metabolics functions made by the studied environment sample. Several tools have recently been integrated into Galaxy for metagenomic data analysis: Mothur, QIIME, MetaPhlAN, HUMAnN, FROGS,....

We will show in this training how to analyze metagenomic and amplicon data inside Galaxy:

Extraction of the OTUs using QIIME/Mothur
Reconstruction of the taxonomic composition of a sample without OTUs using MetaPhlAn
Find the metabolic functions realized in an environment using HUMAnN

Prerequisites

Galaxy 101 or equivalent experience.
Ideally participants will already be familiar with the concepts behind metagenomics (e.g., OTU).
A wi-fi enabled laptop with a modern web browser. Google Chrome, Firefox and Safari will work best.

Instructors