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Metabox: A Toolbox for Metabolomic Data Analysis, Interpretation and Integrative Exploration

Similar to genomic and proteomic platforms, metabolomic data acquisition and analysis is becoming a routine approach for investigating biological systems. However, computational approaches for metabolomic data analysis and integration are still maturing. Metabox is a bioinformatics toolbox for deep...

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Detalles Bibliográficos
Autores principales: Wanichthanarak, Kwanjeera, Fan, Sili, Grapov, Dmitry, Barupal, Dinesh Kumar, Fiehn, Oliver
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5283729/
https://www.ncbi.nlm.nih.gov/pubmed/28141874
http://dx.doi.org/10.1371/journal.pone.0171046
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author Wanichthanarak, Kwanjeera
Fan, Sili
Grapov, Dmitry
Barupal, Dinesh Kumar
Fiehn, Oliver
author_facet Wanichthanarak, Kwanjeera
Fan, Sili
Grapov, Dmitry
Barupal, Dinesh Kumar
Fiehn, Oliver
author_sort Wanichthanarak, Kwanjeera
collection PubMed
description Similar to genomic and proteomic platforms, metabolomic data acquisition and analysis is becoming a routine approach for investigating biological systems. However, computational approaches for metabolomic data analysis and integration are still maturing. Metabox is a bioinformatics toolbox for deep phenotyping analytics that combines data processing, statistical analysis, functional analysis and integrative exploration of metabolomic data within proteomic and transcriptomic contexts. With the number of options provided in each analysis module, it also supports data analysis of other ‘omic’ families. The toolbox is an R-based web application, and it is freely available at http://kwanjeeraw.github.io/metabox/ under the GPL-3 license.
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spelling pubmed-52837292017-02-17 Metabox: A Toolbox for Metabolomic Data Analysis, Interpretation and Integrative Exploration Wanichthanarak, Kwanjeera Fan, Sili Grapov, Dmitry Barupal, Dinesh Kumar Fiehn, Oliver PLoS One Research Article Similar to genomic and proteomic platforms, metabolomic data acquisition and analysis is becoming a routine approach for investigating biological systems. However, computational approaches for metabolomic data analysis and integration are still maturing. Metabox is a bioinformatics toolbox for deep phenotyping analytics that combines data processing, statistical analysis, functional analysis and integrative exploration of metabolomic data within proteomic and transcriptomic contexts. With the number of options provided in each analysis module, it also supports data analysis of other ‘omic’ families. The toolbox is an R-based web application, and it is freely available at http://kwanjeeraw.github.io/metabox/ under the GPL-3 license. Public Library of Science 2017-01-31 /pmc/articles/PMC5283729/ /pubmed/28141874 http://dx.doi.org/10.1371/journal.pone.0171046 Text en © 2017 Wanichthanarak et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Wanichthanarak, Kwanjeera
Fan, Sili
Grapov, Dmitry
Barupal, Dinesh Kumar
Fiehn, Oliver
Metabox: A Toolbox for Metabolomic Data Analysis, Interpretation and Integrative Exploration
title Metabox: A Toolbox for Metabolomic Data Analysis, Interpretation and Integrative Exploration
title_full Metabox: A Toolbox for Metabolomic Data Analysis, Interpretation and Integrative Exploration
title_fullStr Metabox: A Toolbox for Metabolomic Data Analysis, Interpretation and Integrative Exploration
title_full_unstemmed Metabox: A Toolbox for Metabolomic Data Analysis, Interpretation and Integrative Exploration
title_short Metabox: A Toolbox for Metabolomic Data Analysis, Interpretation and Integrative Exploration
title_sort metabox: a toolbox for metabolomic data analysis, interpretation and integrative exploration
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5283729/
https://www.ncbi.nlm.nih.gov/pubmed/28141874
http://dx.doi.org/10.1371/journal.pone.0171046
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