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Web-based inference of biological patterns, functions and pathways from metabolomic data using MetaboAnalyst
by
Wishart, D.S
, Xia, J
in
631/114
/ 631/1647/320
/ Analytical Chemistry
/ Bioinformatics
/ Biological Techniques
/ Biologists
/ biology
/ Biomarkers
/ Biomedical and Life Sciences
/ Biomolecules
/ Chromatography
/ Computational Biology/Bioinformatics
/ computer program
/ Data analysis
/ Data Interpretation, Statistical
/ Data processing
/ Electronic data processing
/ Identification
/ information processing
/ Internet
/ Life Sciences
/ Mass spectrometry
/ Metabolic Networks and Pathways
/ Metabolic pathways
/ Metabolism
/ metabolite
/ Metabolites
/ Metabolomics
/ Metabolomics - methods
/ Microarrays
/ Models, Biological
/ Multivariate Analysis
/ NMR
/ Nuclear magnetic resonance
/ Organic Chemistry
/ Protocol
/ Scientific imaging
/ Software
/ Statistical analysis
/ Statistical methods
/ Statistics
/ Task complexity
/ univariate analysis
/ Web applications
/ web browser
2011
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Web-based inference of biological patterns, functions and pathways from metabolomic data using MetaboAnalyst
by
Wishart, D.S
, Xia, J
in
631/114
/ 631/1647/320
/ Analytical Chemistry
/ Bioinformatics
/ Biological Techniques
/ Biologists
/ biology
/ Biomarkers
/ Biomedical and Life Sciences
/ Biomolecules
/ Chromatography
/ Computational Biology/Bioinformatics
/ computer program
/ Data analysis
/ Data Interpretation, Statistical
/ Data processing
/ Electronic data processing
/ Identification
/ information processing
/ Internet
/ Life Sciences
/ Mass spectrometry
/ Metabolic Networks and Pathways
/ Metabolic pathways
/ Metabolism
/ metabolite
/ Metabolites
/ Metabolomics
/ Metabolomics - methods
/ Microarrays
/ Models, Biological
/ Multivariate Analysis
/ NMR
/ Nuclear magnetic resonance
/ Organic Chemistry
/ Protocol
/ Scientific imaging
/ Software
/ Statistical analysis
/ Statistical methods
/ Statistics
/ Task complexity
/ univariate analysis
/ Web applications
/ web browser
2011
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Web-based inference of biological patterns, functions and pathways from metabolomic data using MetaboAnalyst
by
Wishart, D.S
, Xia, J
in
631/114
/ 631/1647/320
/ Analytical Chemistry
/ Bioinformatics
/ Biological Techniques
/ Biologists
/ biology
/ Biomarkers
/ Biomedical and Life Sciences
/ Biomolecules
/ Chromatography
/ Computational Biology/Bioinformatics
/ computer program
/ Data analysis
/ Data Interpretation, Statistical
/ Data processing
/ Electronic data processing
/ Identification
/ information processing
/ Internet
/ Life Sciences
/ Mass spectrometry
/ Metabolic Networks and Pathways
/ Metabolic pathways
/ Metabolism
/ metabolite
/ Metabolites
/ Metabolomics
/ Metabolomics - methods
/ Microarrays
/ Models, Biological
/ Multivariate Analysis
/ NMR
/ Nuclear magnetic resonance
/ Organic Chemistry
/ Protocol
/ Scientific imaging
/ Software
/ Statistical analysis
/ Statistical methods
/ Statistics
/ Task complexity
/ univariate analysis
/ Web applications
/ web browser
2011
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Web-based inference of biological patterns, functions and pathways from metabolomic data using MetaboAnalyst
Journal Article
Web-based inference of biological patterns, functions and pathways from metabolomic data using MetaboAnalyst
2011
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Overview
MetaboAnalyst is an integrated web-based platform for comprehensive analysis of quantitative metabolomic data. It is designed to be used by biologists (with little or no background in statistics) to perform a variety of complex metabolomic data analysis tasks. These include data processing, data normalization, statistical analysis and high-level functional interpretation. This protocol provides a step-wise description on how to format and upload data to MetaboAnalyst, how to process and normalize data, how to identify significant features and patterns through univariate and multivariate statistical methods and, finally, how to use metabolite set enrichment analysis and metabolic pathway analysis to help elucidate possible biological mechanisms. The complete protocol can be executed in ∼45 min. © 2011 Nature America, Inc. All rights reserved.
Publisher
Nature Publishing Group UK,Nature Publishing Group
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