Literature DB >> 27010334

Using PSEA-Quant for Protein Set Enrichment Analysis of Quantitative Mass Spectrometry-Based Proteomics.

Mathieu Lavallée-Adam1, John R Yates2.   

Abstract

PSEA-Quant analyzes quantitative mass spectrometry-based proteomics datasets to identify enrichments of annotations contained in repositories such as the Gene Ontology and Molecular Signature databases. It allows users to identify the annotations that are significantly enriched for reproducibly quantified high abundance proteins. PSEA-Quant is available on the Web and as a command-line tool. It is compatible with all label-free and isotopic labeling-based quantitative proteomics methods. This protocol describes how to use PSEA-Quant and interpret its output. The importance of each parameter as well as troubleshooting approaches are also discussed. © 2016 by John Wiley & Sons, Inc.
Copyright © 2016 John Wiley & Sons, Inc.

Entities:  

Keywords:  functional enrichment analysis; gene ontology; gene set enrichment analysis; mass spectrometry; quantitative proteomics

Mesh:

Year:  2016        PMID: 27010334      PMCID: PMC5352860          DOI: 10.1002/0471250953.bi1328s53

Source DB:  PubMed          Journal:  Curr Protoc Bioinformatics        ISSN: 1934-3396


  24 in total

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  3 in total

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Journal:  J Proteome Res       Date:  2019-07-01       Impact factor: 4.466

2.  Functional 5' UTR motif discovery with LESMoN: Local Enrichment of Sequence Motifs in biological Networks.

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3.  Increased proteomic complexity in Drosophila hybrids during development.

Authors:  Casimir Bamberger; Salvador Martínez-Bartolomé; Miranda Montgomery; Mathieu Lavallée-Adam; John R Yates
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  3 in total

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