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dc.contributor.authorWenskovitch, John E., Jr
dc.contributor.authorHarris, Leonard A.
dc.contributor.authorTapia, Jose-Juan
dc.contributor.authorFaeder, James R.
dc.contributor.authorMarai, G. Elisabeta
dc.date.accessioned2014-10-30T12:30:26Z
dc.date.available2014-10-30T12:30:26Z
dc.date.issued2014-09-25
dc.identifier.citationWenskovitch et al.: MOSBIE: a tool for comparison and analysis of rule-based biochemical models. BMC Bioinformatics 2014 15:316en_US
dc.identifier.issn1471-2105
dc.identifier.urihttp://hdl.handle.net/10456/37046
dc.description.abstractBackground: Mechanistic models that describe the dynamical behaviors of biochemical systems are common in computational systems biology, especially in the realm of cellular signaling. The development of families of such models, either by a single research group or by different groups working within the same area, presents significant challenges that range from identifying structural similarities and differences between models to understanding how these differences affect system dynamics. Results: We present the development and features of an interactive model exploration system, MOSBIE, which provides utilities for identifying similarities and differences between models within a family. Models are clustered using a custom similarity metric, and a visual interface is provided that allows a researcher to interactively compare the structures of pairs of models as well as view simulation results. Conclusions: We illustrate the usefulness of MOSBIE via two case studies in the cell signaling domain. We also present feedback provided by domain experts and discuss the benefits, as well as the limitations, of the approach.en_US
dc.language.isoen_USen_US
dc.publisherBioMed Central Ltden_US
dc.relation.ispartofBMC Bioinformaticsen_US
dc.relation.isversionofhttp://www.biomedcentral.com/1471-2105/15/316/en_US
dc.rights© 2014 Wenskovitch et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.en_US
dc.subjectVisualizationen_US
dc.subjectVisual computingen_US
dc.subjectRule-based modelingen_US
dc.subjectCell signalingen_US
dc.titleMOSBIE: a tool for comparison and analysis of rule-based biochemical modelsen_US
dc.description.versionPublished articleen_US
dc.contributor.departmentComputer Scienceen_US
dc.citation.volume15en_US
dc.identifier.doi10.1186/1471-2105-15-316
dc.contributor.avlauthorWenskovitch, John E., Jr


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