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JigCell Run Manager (JC-RM): a tool for managing large sets of biochemical model parametrizations

Overview of attention for article published in BMC Systems Biology, December 2015
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Title
JigCell Run Manager (JC-RM): a tool for managing large sets of biochemical model parametrizations
Published in
BMC Systems Biology, December 2015
DOI 10.1186/s12918-015-0237-0
Pubmed ID
Authors

Alida Palmisano, Stefan Hoops, Layne T. Watson, Thomas C. Jones, John J. Tyson, Clifford A. Shaffer

Abstract

Most biomolecular reaction modeling tools allow users to build models with a single list of parameter values. However, a common scenario involves different parameterizations of the model to account for the results of related experiments, for example, to define the phenotypes for a variety of mutations (gene knockout, over expression, etc.) of a specific biochemical network. This scenario is not well supported by existing model editors, forcing the user to manually generate, store, and maintain many variations of the same model. We developed an extension to our modeling editor called the JigCell Run Manager (JC-RM). JC-RM allows the modeler to define a hierarchy of parameter values, simulations, and plot settings, and to save them together with the initial model. JC-RM supports generation of simulation plots, as well as export to COPASI and SBML (L3V1) for further analysis. Developing a model with its initial list of parameter values is just the first step in modeling a biological system. Models are often parameterized in many different ways to account for mutations of the organism and/or for sets of related experiments performed on the organism. JC-RM offers two critical features: it supports the everyday management of a large model, complete with its parameterizations, and it facilitates sharing this information before and after publication. JC-RM allows the modeler to define a hierarchy of parameter values, simulation, and plot settings, and to maintain a relationship between this hierarchy and the initial model. JC-RM is implemented in Java and uses the COPASI API. JC-RM runs on all major operating systems, with minimal system requirements. Installers, source code, user manual, and examples can be found at the COPASI website ( http://www.copasi.org/Projects ).

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Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 14%
Russia 1 7%
Unknown 11 79%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 43%
Student > Ph. D. Student 3 21%
Professor > Associate Professor 1 7%
Professor 1 7%
Unknown 3 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 21%
Biochemistry, Genetics and Molecular Biology 3 21%
Engineering 2 14%
Computer Science 2 14%
Environmental Science 1 7%
Other 0 0%
Unknown 3 21%