e-learning
metaQuantome 1: Data creation
Abstract
Metaproteomics involves the characterization of community-level expression of microbial proteins from an environmental
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 do I perform functional and taxonomy analysis on metaproteomics data?
- How can I perform quantitation on metaproteomics data?
- How do I create inputs that can be used in metaquantome to examine differentially expressed proteins?
Learning Objectives
- A taxonomy, functional and quantitational analysis of metaproteomic mass spectrometry data.
Licence: Creative Commons Attribution 4.0 International
Keywords: Proteomics, microgalaxy
Target audience: Students
Resource type: e-learning
Version: 20
Status: Active
Prerequisites:
Introduction to Galaxy Analyses
Learning objectives:
- A taxonomy, functional and quantitational analysis of metaproteomic mass spectrometry data.
Date modified: 2024-03-14
Date published: 2020-10-16
Contributors: Emma Leith, Marie Crane, Pratik Jagtap, Subina Mehta, Timothy J. Griffin
Scientific topics: Proteomics, Proteogenomics, Biodiversity, Taxonomy
External resources:
Activity log
