Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Mochão, Hugo, Barahona, Pedro, Costa, Rafael S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
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
_version_ 1783615882097852416
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
work_keys_str_mv AT mochaohugo kimosys20anupgradeddatabaseforsubmittingstoringandaccessingexperimentaldataforkineticmodeling
AT barahonapedro kimosys20anupgradeddatabaseforsubmittingstoringandaccessingexperimentaldataforkineticmodeling
AT costarafaels kimosys20anupgradeddatabaseforsubmittingstoringandaccessingexperimentaldataforkineticmodeling