Using MetaboAnalyst 3.0 for Comprehensive Metabolomics Data Analysis. Issue 1 (7th September 2016)

• Record Type: Journal Article
• Authors: Xia, Jianguo; Wishart, David S.
• Editors: Bateman, Alex; Pearson, William R.; Stein, Lincoln D.; Stormo, Gary D.; Yates, John R.
• Is Part Of: Current protocols in bioinformatics. Volume 55:Issue 1(2016)
• Page Start: 14.10.1
• Page End: 14.10.91
• Publication Date: 2016-09-07
• Subjects: batch effect correction -- biomarker analysis -- chemometrics -- integrative pathway analysis -- metabolomics -- metabolic pathway analysis -- metabolite set enrichment analysis -- power analysis -- ROC curve -- sample size estimation -- Web application; Bioinformatics -- Laboratory manuals; Nucleotide sequence -- Laboratory manuals; Amino acid sequence -- Laboratory manuals; Base Sequence; Amino Acid Sequence; Computational Biology -- methods; Databases, Genetic; Proteins -- analysis; Sequence Analysis -- methods; Sequence Homology; Amino acid sequence; Bioinformatics; Nucleotide sequence; Laboratory Manuals; Laboratory manuals; 570.285
• DOI: 10.1002/cpbi.11
• Languages: English
• ISSNs: 1934-3396

Abstract

Abstract: MetaboAnalyst (http://www.metaboanalyst.ca ) is a comprehensive Web application for metabolomic data analysis and interpretation. MetaboAnalyst handles most of the common metabolomic data types from most kinds of metabolomics platforms (MS and NMR) for most kinds of metabolomics experiments (targeted, untargeted, quantitative). In addition to providing a variety of data processing and normalization procedures, MetaboAnalyst also supports a number of data analysis and data visualization tasks using a range of univariate, multivariate methods such as PCA (principal component analysis), PLS‐DA (partial least squares discriminant analysis), heatmap clustering and machine learning methods. MetaboAnalyst also offers a variety of tools for metabolomic data interpretation including MSEA (metabolite set enrichment analysis), MetPA (metabolite pathway analysis), and biomarker selection via ROC (receiver operating characteristic) curve analysis, as well as time series and power analysis. This unit provides an overview of the main functional modules and the general workflow of the latest version of MetaboAnalyst (MetaboAnalyst 3.0), followed by eight detailed protocols. © 2016 by John Wiley & Sons, Inc.