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MetaboAnalyst 2.0—a comprehensive server for metabolomic data analysis

First released in 2009, MetaboAnalyst (www.metaboanalyst.ca) was a relatively simple web server designed to facilitate metabolomic data processing and statistical analysis. With continuing advances in metabolomics along with constant user feedback, it became clear that a substantial upgrade to the o...

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Autores principales: Xia, Jianguo, Mandal, Rupasri, Sinelnikov, Igor V., Broadhurst, David, Wishart, David S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3394314/
https://www.ncbi.nlm.nih.gov/pubmed/22553367
http://dx.doi.org/10.1093/nar/gks374
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author Xia, Jianguo
Mandal, Rupasri
Sinelnikov, Igor V.
Broadhurst, David
Wishart, David S.
author_facet Xia, Jianguo
Mandal, Rupasri
Sinelnikov, Igor V.
Broadhurst, David
Wishart, David S.
author_sort Xia, Jianguo
collection PubMed
description First released in 2009, MetaboAnalyst (www.metaboanalyst.ca) was a relatively simple web server designed to facilitate metabolomic data processing and statistical analysis. With continuing advances in metabolomics along with constant user feedback, it became clear that a substantial upgrade to the original server was necessary. MetaboAnalyst 2.0, which is the successor to MetaboAnalyst, represents just such an upgrade. MetaboAnalyst 2.0 now contains dozens of new features and functions including new procedures for data filtering, data editing and data normalization. It also supports multi-group data analysis, two-factor analysis as well as time-series data analysis. These new functions have also been supplemented with: (i) a quality-control module that allows users to evaluate their data quality before conducting any analysis, (ii) a functional enrichment analysis module that allows users to identify biologically meaningful patterns using metabolite set enrichment analysis and (iii) a metabolic pathway analysis module that allows users to perform pathway analysis and visualization for 15 different model organisms. In developing MetaboAnalyst 2.0 we have also substantially improved its graphical presentation tools. All images are now generated using anti-aliasing and are available over a range of resolutions, sizes and formats (PNG, TIFF, PDF, PostScript, or SVG). To improve its performance, MetaboAnalyst 2.0 is now hosted on a much more powerful server with substantially modified code to take advantage the server’s multi-core CPUs for computationally intensive tasks. MetaboAnalyst 2.0 also maintains a collection of 50 or more FAQs and more than a dozen tutorials compiled from user queries and requests. A downloadable version of MetaboAnalyst 2.0, along detailed instructions for local installation is now available as well.
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spelling pubmed-33943142012-07-30 MetaboAnalyst 2.0—a comprehensive server for metabolomic data analysis Xia, Jianguo Mandal, Rupasri Sinelnikov, Igor V. Broadhurst, David Wishart, David S. Nucleic Acids Res Articles First released in 2009, MetaboAnalyst (www.metaboanalyst.ca) was a relatively simple web server designed to facilitate metabolomic data processing and statistical analysis. With continuing advances in metabolomics along with constant user feedback, it became clear that a substantial upgrade to the original server was necessary. MetaboAnalyst 2.0, which is the successor to MetaboAnalyst, represents just such an upgrade. MetaboAnalyst 2.0 now contains dozens of new features and functions including new procedures for data filtering, data editing and data normalization. It also supports multi-group data analysis, two-factor analysis as well as time-series data analysis. These new functions have also been supplemented with: (i) a quality-control module that allows users to evaluate their data quality before conducting any analysis, (ii) a functional enrichment analysis module that allows users to identify biologically meaningful patterns using metabolite set enrichment analysis and (iii) a metabolic pathway analysis module that allows users to perform pathway analysis and visualization for 15 different model organisms. In developing MetaboAnalyst 2.0 we have also substantially improved its graphical presentation tools. All images are now generated using anti-aliasing and are available over a range of resolutions, sizes and formats (PNG, TIFF, PDF, PostScript, or SVG). To improve its performance, MetaboAnalyst 2.0 is now hosted on a much more powerful server with substantially modified code to take advantage the server’s multi-core CPUs for computationally intensive tasks. MetaboAnalyst 2.0 also maintains a collection of 50 or more FAQs and more than a dozen tutorials compiled from user queries and requests. A downloadable version of MetaboAnalyst 2.0, along detailed instructions for local installation is now available as well. Oxford University Press 2012-07 2012-05-02 /pmc/articles/PMC3394314/ /pubmed/22553367 http://dx.doi.org/10.1093/nar/gks374 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Xia, Jianguo
Mandal, Rupasri
Sinelnikov, Igor V.
Broadhurst, David
Wishart, David S.
MetaboAnalyst 2.0—a comprehensive server for metabolomic data analysis
title MetaboAnalyst 2.0—a comprehensive server for metabolomic data analysis
title_full MetaboAnalyst 2.0—a comprehensive server for metabolomic data analysis
title_fullStr MetaboAnalyst 2.0—a comprehensive server for metabolomic data analysis
title_full_unstemmed MetaboAnalyst 2.0—a comprehensive server for metabolomic data analysis
title_short MetaboAnalyst 2.0—a comprehensive server for metabolomic data analysis
title_sort metaboanalyst 2.0—a comprehensive server for metabolomic data analysis
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3394314/
https://www.ncbi.nlm.nih.gov/pubmed/22553367
http://dx.doi.org/10.1093/nar/gks374
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