Metabolomic data processing, analysis, and interpretation using MetaboAnalyst

  1. Get@NRC: Metabolomic data processing, analysis, and interpretation using MetaboAnalyst (Opens in a new window)
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Journal titleCurrent Protocols in Bioinformatics
IssueSUPPL. 34
Pages148; # of pages: 48
Subjectbiological marker; article; bioinformatics; blood; cerebrospinal fluid; computer; computer program; concentration (parameters); data analysis; file transfer protocol; growth curve; human; information processing; machine learning; mass spectrometry; metaboanalyst; metabolic pathway analysis; metabolism; metabolite; metabolite set enrichment analysis; metabolomics; multivariate analysis; partial least sequence discriminant analysis; prinicipal component analysis; priority journal; quality control; quantitative enrichment analysis; sampling; univariate analysis; urinalysis
AbstractMetaboAnalyst 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. © 2011 by John Wiley & Sons, Inc.
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AffiliationNational Research Council Canada (NRC-CNRC); National Institute for Nanotechnology (NINT-INNT)
Peer reviewedYes
NPARC number21271490
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Record identifier6ba5324e-4a99-44f2-b6b6-93edbecdf3de
Record created2014-03-24
Record modified2016-05-09
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