Sélection de la langue

Gouvernement du Canada / Government of Canada

Recherche

Metabolomic data processing, analysis, and interpretation using MetaboAnalyst

DOITrouver le DOI : https://doi.org/10.1002/0471250953.bi1410s34
AuteurRechercher : ; Rechercher : 1
Affiliation
  1. Conseil national de recherches Canada. Institut national de nanotechnologie
FormatTexte, Article
Sujetbiological marker; bioinformatics; blood; cerebrospinal fluid; computer; computer program; concentration (parameters); data analysis; file transfer protocol; growth curve; 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; quality control; quantitative enrichment analysis; sampling; univariate analysis; urinalysis
Résumé
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. © 2011 by John Wiley & Sons, Inc.
Date de publication
Dans
  • Current Protocols in Bioinformatics, nº SUPPL. 34 (2011) : 1–48.
Langueanglais
Publications évaluées par des pairsOui
Numéro NPARC21271490
Exporter la noticeExporter en format RIS
Signaler une correctionSignaler une correction (s'ouvre dans un nouvel onglet)
Identificateur de l’enregistrement6ba5324e-4a99-44f2-b6b6-93edbecdf3de
Enregistrement créé2014-03-24
Enregistrement modifié2020-04-21

Détails de la page

Par :

Date de modification :