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

Authors: 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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