Novel Bioinformatics Strategies Driving Dynamic Metaproteomic Studies

Simopoulos, Caitlin M.A., Figeys, Daniel and Lavallée-Adam, Mathieu (2022) Novel Bioinformatics Strategies Driving Dynamic Metaproteomic Studies. In: Methods in Molecular Biology. Methods in Molecular Biology, 2456 . Humana Press Inc, New York, pp. 319-338. ISBN 978-1-0716-2123-3

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Abstract

Constant improvements in mass spectrometry technologies and laboratory workflows have enabled the proteomics investigation of biological samples of growing complexity. Microbiomes represent such complex samples for which metaproteomics analyses are becoming increasingly popular. Metaproteomics experimental procedures create large amounts of data from which biologically relevant signal must be efficiently extracted to draw meaningful conclusions. Such a data processing requires appropriate bioinformatics tools specifically developed for, or capable of handling metaproteomics data. In this chapter, we outline current and novel tools that can perform the most commonly used steps in the analysis of cutting-edge metaproteomics data, such as peptide and protein identification and quantification, as well as data normalization, imputation, mining, and visualization. We also provide details about the experimental setups in which these tools should be used.

Item Type: Book Section
Uncontrolled Keywords: bioinformatics,computational biology,mass spectrometry,metaproteomics,microbiome,proteomics,quantification,software,statistics,molecular biology,genetics ,/dk/atira/pure/subjectarea/asjc/1300/1312
Faculty \ School: Faculty of Medicine and Health Sciences > Norwich Medical School
UEA Research Groups: Faculty of Medicine and Health Sciences > Research Centres > Metabolic Health
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Depositing User: LivePure Connector
Date Deposited: 23 Mar 2026 14:30
Last Modified: 23 Mar 2026 14:30
URI: https://ueaeprints.uea.ac.uk/id/eprint/102561
DOI: 10.1007/978-1-0716-2124-0_22

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