e-learning

Analyses of metagenomics data - The global picture

Abstract

In metagenomics, information about micro-organisms in an environment can be extracted with two main techniques:

About This Material

This is a Hands-on Tutorial from the GTN which is usable either for individual self-study, or as a teaching material in a classroom.

Questions this will address

  • How to analyze metagenomics data?
  • What information can be extracted of metagenomics data?
  • What is the difference between amplicon and shotgun data?
  • What are the difference in the analyses of amplicon and shotgun data?

Learning Objectives

  • Choosing the best approach to analyze metagenomics data
  • Selection of tools to analyze amplicon data or shotgun data
  • Visualisation of a community structure

Licence: Creative Commons Attribution 4.0 International

Keywords: Microbiome, microgalaxy

Target audience: Students

Resource type: e-learning

Version: 4

Status: Active

Prerequisites:

Introduction to Galaxy Analyses

Learning objectives:

  • Choosing the best approach to analyze metagenomics data
  • Selection of tools to analyze amplicon data or shotgun data
  • Visualisation of a community structure

Date modified: 2024-08-09

Date published: 2017-06-22

Authors: Bérénice Batut, Saskia Hiltemann

Scientific topics: Metagenomics, Microbial ecology, Taxonomy, Sequence analysis, Metabarcoding


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