Unit

UNIT 14.10 Metabolomic Data Processing, Analysis, and Interpretation Using MetaboAnalyst

  1. Jianguo Xia1,
  2. David S. Wishart1,2,3

Published Online: 1 JUN 2011

DOI: 10.1002/0471250953.bi1410s34

Current Protocols in Bioinformatics

Current Protocols in Bioinformatics

How to Cite

Xia, J. and Wishart, D. S. 2011. Metabolomic Data Processing, Analysis, and Interpretation Using MetaboAnalyst. Current Protocols in Bioinformatics. 34:14.10:14.10.1–14.10.48.

Author Information

  1. 1

    Department of Computing Science, University of Alberta, Alberta, Canada

  2. 2

    Department of Biological Sciences, University of Alberta, Alberta, Canada

  3. 3

    National Research Council, National Institute for Nanotechnology (NINT), Edmonton, Alberta, Canada

Publication History

  1. Published Online: 1 JUN 2011
  2. Published Print: JUN 2011

Abstract

MetaboAnalyst is a comprehensive, Web-based tool designed for processing, analyzing, and interpreting metabolomic data. It handles most of the common metabolomic data types including compound concentration lists, spectral bin lists, peak lists, and raw MS spectra. In addition to providing a variety of data processing and normalization procedures, MetaboAnalyst supports a number of data-analysis tasks using a range of univariate, multivariate, and machine-learning methods. MetaboAnalyst also offers two newly developed approaches—Metabolite Set Enrichment Analysis (MSEA) and Metabolic Pathway Analysis (MetPA)—for metabolomic data interpretation. MSEA helps detect biologically meaningful metabolite sets that have been enriched in human metabolomic studies, while MetPA allows users to identify any metabolic pathways that have been perturbed. MetaboAnalyst enables facile interactive exploration and visualization of nearly all of its results. At the end of each session, it produces a detailed analysis report with graphical, tabular, and textual output that summarizes each analytical method used and each result generated. Curr. Protoc. Bioinform. 34:14.10.1-14.10.48. © 2011 by John Wiley & Sons, Inc.

Keywords:

  • Web application;
  • metabolomics;
  • bioinformatics;
  • univariate analysis;
  • multivariate analysis;
  • metabolite set enrichment analysis;
  • metabolic pathway analysis