e-learning
metaQuantome 2: Function
Abstract
metaQuantome software suite was developed by the for quantitative and statistical analysis of metaproteomics data. For taxonomic and functional expression analysis within the microbial community, metaQuantome leverages peptide-level quantitative information to generate visual outputs for data interpretation. It also generates outputs that help in understanding the taxonomic contribution to a selected function as well as functions expressed by selected taxonomic group.
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 look at differentially expressed proteins?
- How do I get top 5 or 10 function present in the sample?
- How can I visualize my results?
Learning Objectives
- A 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: 14
Status: Active
Prerequisites:
- Introduction to Galaxy Analyses
- metaQuantome 1: Data creation
Learning objectives:
- A functional and quantitational analysis of metaproteomic mass spectrometry data.
Date modified: 2024-03-15
Date published: 2020-10-29
Contributors: Emma Leith, Marie Crane, Pratik Jagtap, Praveen Kumar, Subina Mehta, Timothy J. Griffin
Scientific topics: Proteomics, Proteogenomics, Metatranscriptomics, Microbial ecology, Metagenomics
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