MetATT: A web-based metabolomics tool for analyzing time-series and two-factor datasets

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DOIResolve DOI: http://doi.org/10.1093/bioinformatics/btr392
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TypeArticle
Journal titleBioinformatics
ISSN1367-4803
Volume27
Issue17
Article numberbtr392
Pages24552456; # of pages: 2
AbstractTime-series and multifactor studies have become increasingly common in metabolomic studies. Common tasks for analyzing data from these relatively complex experiments include identification of major variations associated with each experimental factor, comparison of temporal profiles across different biological conditions, as well as detection and validation of the presence of interactions. Here we introduce MetATT, a web-based tool for time-series and two-factor metabolomic data analysis. MetATT offers a number of complementary approaches including 3D interactive principal component analysis, two-way heatmap visualization, two-way ANOVA, ANOVA-simultaneous component analysis and multivariate empirical Bayes time-series analysis. These procedures are presented through an intuitive web interface. At the end of each session, a detailed analysis report is generated to facilitate understanding of the results. © The Author 2011. Published by Oxford University Press. All rights reserved.
Publication date
LanguageEnglish
AffiliationNational Research Council Canada (NRC-CNRC); National Institute for Nanotechnology (NINT-INNT)
Peer reviewedYes
NPARC number21271374
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Record identifiere37aac16-e42c-459b-ba97-e9d328ed60e9
Record created2014-03-24
Record modified2016-05-09
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