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