KiMoSys 2.0: an upgraded database for submitting, storing and accessing experimental data for kinetic modeling. (28th November 2020)

• Record Type: Journal Article
• Authors: Mochão, Hugo; Barahona, Pedro; Costa, Rafael S
• Is Part Of: Database. Volume 2020(2020)
• Publication Date: 2020-11-28
• Subjects: Biology -- Databases -- Periodicals; Bioinformatics -- Periodicals; 570.285
• DOI: 10.1093/database/baaa093
• Languages: English
• ISSNs: 1758-0463

Abstract

Abstract: 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