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KiMoSys 2.0: an upgraded database for submitting, storing and accessing experimental data for kinetic modeling
The KiMoSys (https://kimosys.org), launched in 2014, is a public repository of published experimental data, which contains concentration data of metabolites, protein abundances and flux data. It offers a web-based interface and upload facility to share data, making it accessible in structured format...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7698666/ https://www.ncbi.nlm.nih.gov/pubmed/33247931 http://dx.doi.org/10.1093/database/baaa093 |
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author | Mochão, Hugo Barahona, Pedro Costa, Rafael S |
author_facet | Mochão, Hugo Barahona, Pedro Costa, Rafael S |
author_sort | Mochão, Hugo |
collection | PubMed |
description | The KiMoSys (https://kimosys.org), launched in 2014, is a public repository of published experimental data, which contains concentration data of metabolites, protein abundances and flux data. It offers a web-based interface and upload facility to share data, making it accessible in structured formats, while also integrating associated kinetic models related to the data. In addition, it also supplies tools to simplify the construction process of ODE (Ordinary Differential Equations)-based models of metabolic networks. In this release, we present an update of KiMoSys with new data and several new features, including (i) an improved web interface, (ii) a new multi-filter mechanism, (iii) introduction of data visualization tools, (iv) the addition of downloadable data in machine-readable formats, (v) an improved data submission tool, (vi) the integration of a kinetic model simulation environment and (vii) the introduction of a unique persistent identifier system. We believe that this new version will improve its role as a valuable resource for the systems biology community. Database URL: www.kimosys.org |
format | Online Article Text |
id | pubmed-7698666 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-76986662020-12-02 KiMoSys 2.0: an upgraded database for submitting, storing and accessing experimental data for kinetic modeling Mochão, Hugo Barahona, Pedro Costa, Rafael S Database (Oxford) Database Update The KiMoSys (https://kimosys.org), launched in 2014, is a public repository of published experimental data, which contains concentration data of metabolites, protein abundances and flux data. It offers a web-based interface and upload facility to share data, making it accessible in structured formats, while also integrating associated kinetic models related to the data. In addition, it also supplies tools to simplify the construction process of ODE (Ordinary Differential Equations)-based models of metabolic networks. In this release, we present an update of KiMoSys with new data and several new features, including (i) an improved web interface, (ii) a new multi-filter mechanism, (iii) introduction of data visualization tools, (iv) the addition of downloadable data in machine-readable formats, (v) an improved data submission tool, (vi) the integration of a kinetic model simulation environment and (vii) the introduction of a unique persistent identifier system. We believe that this new version will improve its role as a valuable resource for the systems biology community. Database URL: www.kimosys.org Oxford University Press 2020-11-28 /pmc/articles/PMC7698666/ /pubmed/33247931 http://dx.doi.org/10.1093/database/baaa093 Text en © The Author(s) 2020. Published by Oxford University Press. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Update Mochão, Hugo Barahona, Pedro Costa, Rafael S KiMoSys 2.0: an upgraded database for submitting, storing and accessing experimental data for kinetic modeling |
title | KiMoSys 2.0: an upgraded database for submitting, storing and accessing experimental data for kinetic modeling |
title_full | KiMoSys 2.0: an upgraded database for submitting, storing and accessing experimental data for kinetic modeling |
title_fullStr | KiMoSys 2.0: an upgraded database for submitting, storing and accessing experimental data for kinetic modeling |
title_full_unstemmed | KiMoSys 2.0: an upgraded database for submitting, storing and accessing experimental data for kinetic modeling |
title_short | KiMoSys 2.0: an upgraded database for submitting, storing and accessing experimental data for kinetic modeling |
title_sort | kimosys 2.0: an upgraded database for submitting, storing and accessing experimental data for kinetic modeling |
topic | Database Update |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7698666/ https://www.ncbi.nlm.nih.gov/pubmed/33247931 http://dx.doi.org/10.1093/database/baaa093 |
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