Metabolomic Data Processing, Analysis, and Interpretation Using MetaboAnalyst

Jianguo Xia1, David S. Wishart2

1 Department of Computing Science, University of Alberta, Alberta, Canada, 2 National Research Council, National Institute for Nanotechnology (NINT), Edmonton, Alberta, Canada
Publication Name:  Current Protocols in Bioinformatics
Unit Number:  Unit 14.10
DOI:  10.1002/0471250953.bi1410s34
Online Posting Date:  June, 2011
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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

     
 
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Table of Contents

  • Introduction
  • Basic Protocol 1: Data Uploading, Processing, and Normalization
  • Basic Protocol 2: Identification of Significant Variables
  • Basic Protocol 3: Multivariate Exploratory Data Analysis
  • Basic Protocol 4: Functional Interpretation of Metabolomic Data
  • Guidelines for Understanding the Results
  • Commentary
  • Literature Cited
  • Figures
     
 
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Materials

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Literature Cited

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