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MPEA--metabolite pathway enrichment analysis
VTT Technical Research Centre of Finland, Espoo, Finland.
VTT Technical Research Centre of Finland, Espoo, Finland.
Institute of Biotechnology, Department of Biological Sciences, University of Helsinki, Helsinki, Finland.
Örebro University, School of Medical Sciences. VTT Technical Research Centre of Finland, Espoo, Finland.ORCID iD: 0000-0002-2856-9165
2011 (English)In: Bioinformatics, ISSN 1367-4803, E-ISSN 1367-4811, Vol. 27, no 13, p. 1878-1879Article in journal (Refereed) Published
Abstract [en]

UNLABELLED: We present metabolite pathway enrichment analysis (MPEA) for the visualization and biological interpretation of metabolite data at the system level. Our tool follows the concept of gene set enrichment analysis (GSEA) and tests whether metabolites involved in some predefined pathway occur towards the top (or bottom) of a ranked query compound list. In particular, MPEA is designed to handle many-to-many relationships that may occur between the query compounds and metabolite annotations. For a demonstration, we analysed metabolite profiles of 14 twin pairs with differing body weights. MPEA found significant pathways from data that had no significant individual query compounds, its results were congruent with those discovered from transcriptomics data and it detected more pathways than the competing metabolic pathway method did.

AVAILABILITY: The web server and source code of MPEA are available at http://ekhidna.biocenter.helsinki.fi/poxo/mpea/.

Place, publisher, year, edition, pages
2011. Vol. 27, no 13, p. 1878-1879
National Category
Medical and Health Sciences Bioinformatics and Systems Biology
Identifiers
URN: urn:nbn:se:oru:diva-63645DOI: 10.1093/bioinformatics/btr278ISI: 000291752600072PubMedID: 21551139Scopus ID: 2-s2.0-79959441218OAI: oai:DiVA.org:oru-63645DiVA, id: diva2:1169210
Funder
EU, FP7, Seventh Framework Programme, FP7-KBBE-222639Available from: 2017-12-22 Created: 2017-12-22 Last updated: 2018-05-08Bibliographically approved

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Oresic, Matej

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