Meta P-server

A web-based metabolomics data analysis tool

Karsten Suhre, Gabi Kastenmüller, Werner Römisch-Margl, Brigitte Wägele, Elisabeth Altmaier

Research output: Contribution to journalArticle

48 Citations (Scopus)

Abstract

Metabolomics is an emerging field that is based on the quantitative measurement of as many small organic molecules occurring in a biological sample as possible. Due to recent technical advances, metabolomics can now be used widely as an analytical high-throughput technology in drug testing and epidemiological metabolome and genome wide association studies. Analogous to chip-based gene expression analyses, the enormous amount of data produced by modern kit-based metabolomics experiments poses new challenges regarding their biological interpretation in the context of various sample phenotypes. We developed metaP-server to facilitate data interpretation. metaP-server provides automated and standardized data analysis for quantitative metabolomics data, covering the following steps from data acquisition to biological interpretation: (i) data quality checks, (ii) estimation of reproducibility and batch effects, (iii) hypothesis tests for multiple categorical phenotypes, (iv) correlation tests for metric phenotypes, (v) optionally including all possible pairs of metabolite concentration ratios, (vi) principal component analysis (PCA), and (vii) mapping of metabolites onto colored KEGG pathway maps. Graphical output is clickable and cross-linked to sample and metabolite identifiers. Interactive coloring of PCA and bar plots by phenotype facilitates on-line data exploration. For users of commercial metabolomics kits, cross-references to the HMDB, LipidMaps, KEGG, PubChem, and CAS databases are provided. metaP-server is freely accessible at http://metabolomics.helmholtz-muenchen.de/metap2/.

Original languageEnglish
Article number839862
JournalJournal of Biomedicine and Biotechnology
Volume2011
DOIs
Publication statusPublished - 2011
Externally publishedYes

Fingerprint

Metabolomics
Servers
Metabolites
Phenotype
Principal Component Analysis
Principal component analysis
Metabolome
Genome-Wide Association Study
Coloring
Gene expression
Data acquisition
Genes
Throughput
Databases
Technology
Gene Expression
Molecules
Testing
Pharmaceutical Preparations
Experiments

ASJC Scopus subject areas

  • Biotechnology
  • Molecular Medicine
  • Genetics
  • Molecular Biology
  • Health, Toxicology and Mutagenesis
  • Medicine(all)

Cite this

Suhre, K., Kastenmüller, G., Römisch-Margl, W., Wägele, B., & Altmaier, E. (2011). Meta P-server: A web-based metabolomics data analysis tool. Journal of Biomedicine and Biotechnology, 2011, [839862]. https://doi.org/10.1155/2011/839862

Meta P-server : A web-based metabolomics data analysis tool. / Suhre, Karsten; Kastenmüller, Gabi; Römisch-Margl, Werner; Wägele, Brigitte; Altmaier, Elisabeth.

In: Journal of Biomedicine and Biotechnology, Vol. 2011, 839862, 2011.

Research output: Contribution to journalArticle

Suhre, K, Kastenmüller, G, Römisch-Margl, W, Wägele, B & Altmaier, E 2011, 'Meta P-server: A web-based metabolomics data analysis tool', Journal of Biomedicine and Biotechnology, vol. 2011, 839862. https://doi.org/10.1155/2011/839862
Suhre, Karsten ; Kastenmüller, Gabi ; Römisch-Margl, Werner ; Wägele, Brigitte ; Altmaier, Elisabeth. / Meta P-server : A web-based metabolomics data analysis tool. In: Journal of Biomedicine and Biotechnology. 2011 ; Vol. 2011.
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