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MetaboMAPS: Pathway sharing and multi-omics data visualization in metabolic context

Metabolic pathways are an important part of systems biology research since they illustrate complex interactions between metabolites, enzymes, and regulators. Pathway maps are drawn to elucidate metabolism or to set data in a metabolic context. We present MetaboMAPS, a web-based platform to visualize...

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Detalles Bibliográficos
Autores principales: Koblitz, Julia, Schomburg, Dietmar, Neumann-Schaal, Meina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7383707/
https://www.ncbi.nlm.nih.gov/pubmed/32765840
http://dx.doi.org/10.12688/f1000research.23427.2
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author Koblitz, Julia
Schomburg, Dietmar
Neumann-Schaal, Meina
author_facet Koblitz, Julia
Schomburg, Dietmar
Neumann-Schaal, Meina
author_sort Koblitz, Julia
collection PubMed
description Metabolic pathways are an important part of systems biology research since they illustrate complex interactions between metabolites, enzymes, and regulators. Pathway maps are drawn to elucidate metabolism or to set data in a metabolic context. We present MetaboMAPS, a web-based platform to visualize numerical data on individual metabolic pathway maps. Metabolic maps can be stored, distributed and downloaded in SVG-format. MetaboMAPS was designed for users without computational background and supports pathway sharing without strict conventions. In addition to existing applications that established standards for well-studied pathways, MetaboMAPS offers a niche for individual, customized pathways beyond common knowledge, supporting ongoing research by creating publication-ready visualizations of experimental data.
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spelling pubmed-73837072020-08-05 MetaboMAPS: Pathway sharing and multi-omics data visualization in metabolic context Koblitz, Julia Schomburg, Dietmar Neumann-Schaal, Meina F1000Res Software Tool Article Metabolic pathways are an important part of systems biology research since they illustrate complex interactions between metabolites, enzymes, and regulators. Pathway maps are drawn to elucidate metabolism or to set data in a metabolic context. We present MetaboMAPS, a web-based platform to visualize numerical data on individual metabolic pathway maps. Metabolic maps can be stored, distributed and downloaded in SVG-format. MetaboMAPS was designed for users without computational background and supports pathway sharing without strict conventions. In addition to existing applications that established standards for well-studied pathways, MetaboMAPS offers a niche for individual, customized pathways beyond common knowledge, supporting ongoing research by creating publication-ready visualizations of experimental data. F1000 Research Limited 2020-07-17 /pmc/articles/PMC7383707/ /pubmed/32765840 http://dx.doi.org/10.12688/f1000research.23427.2 Text en Copyright: © 2020 Koblitz J et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software Tool Article
Koblitz, Julia
Schomburg, Dietmar
Neumann-Schaal, Meina
MetaboMAPS: Pathway sharing and multi-omics data visualization in metabolic context
title MetaboMAPS: Pathway sharing and multi-omics data visualization in metabolic context
title_full MetaboMAPS: Pathway sharing and multi-omics data visualization in metabolic context
title_fullStr MetaboMAPS: Pathway sharing and multi-omics data visualization in metabolic context
title_full_unstemmed MetaboMAPS: Pathway sharing and multi-omics data visualization in metabolic context
title_short MetaboMAPS: Pathway sharing and multi-omics data visualization in metabolic context
title_sort metabomaps: pathway sharing and multi-omics data visualization in metabolic context
topic Software Tool Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7383707/
https://www.ncbi.nlm.nih.gov/pubmed/32765840
http://dx.doi.org/10.12688/f1000research.23427.2
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