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ORA , FCS , and PT Strategies in Functional Enrichment Analysis

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Proteomics Data Analysis

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2361))

Abstract

Downstream analysis of OMICS data requires interpretation of many molecular components considering current biological knowledge. Most tools used at present for functional enrichment analysis workflows applied to the field of proteomics are either borrowed or have been modified from genomics workflows to accommodate proteomics data. While the field of proteomics data analytics is evolving, as is the case for molecular annotation coverage, one can expect the rise of enhanced databases with less redundant ontologies spanning many elements of the tree of life. The methodology described here shows in practical steps how to perform overrepresentation analysis, functional class scoring, and pathway-topology analysis using a preexisting neurological dataset of proteomic data.

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Acknowledgments

HH is supported by a grant from Highlands & Islands Enterprise.

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Authors and Affiliations

  1. Department of Psychiatry, University of Oxford, Oxford, UK

    Marco Fernandes

  2. Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK

    Holger Husi

  3. Division of Biomedical Sciences, Institute of Health Research and Innovation, University of the Highlands and Islands, Inverness, UK

    Holger Husi

Authors
  1. Marco Fernandes
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  2. Holger Husi
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Corresponding author

Correspondence to Holger Husi .

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Editors and Affiliations

  1. Department of Biotechnology, University of Verona, VERONA, Verona, Italy

    Daniela Cecconi

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© 2021 The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature

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Fernandes, M., Husi, H. (2021). ORA , FCS , and PT Strategies in Functional Enrichment Analysis. In: Cecconi, D. (eds) Proteomics Data Analysis. Methods in Molecular Biology, vol 2361. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-1641-3_10

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  • DOI: https://doi.org/10.1007/978-1-0716-1641-3_10

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-1640-6

  • Online ISBN: 978-1-0716-1641-3

  • eBook Packages: Springer Protocols

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