Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/10472
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dc.contributor.authorHeiner, M-
dc.contributor.authorGilbert, D-
dc.date.accessioned2015-03-23T14:21:06Z-
dc.date.available2012-
dc.date.available2015-03-23T14:21:06Z-
dc.date.issued2013-
dc.identifier.citationProgress in Biophysics and Molecular Biology, 111, pp. 119-128, 2013.en_US
dc.identifier.issn0079-6107-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/10472-
dc.descriptionThis article has been made available through the Brunel Open Access Publishing Fund.-
dc.description.abstractWe discuss some motivational challenges arising from the need to model and analyse complex biological systems at multiple scales (spatial and temporal), and present a biomodel engineering framework to address some of these issues within the context of multiscale Systems Biology. Our methodology is based on a structured family of Petri net classes which enables the investigation of a given system using various modelling abstractions: qualitative, stochastic, continuous and hybrid, optionally in a spatial context. We illustrate our approach with case studies demonstrating hierarchical flattening, treatment of space, and hierarchical organisation of space. © 2012 Elsevier Ltd. All rights reserved.en_US
dc.language.isoenen_US
dc.subjectBioModel engineeringen_US
dc.subjectMultiscale modellingen_US
dc.subjectSystems Biologyen_US
dc.subjectSynthetic Biologyen_US
dc.subjectBiomolecular networksen_US
dc.subjectColoured qualitative/stochastic/continuous/hybrid Petri netsen_US
dc.subjectModel checkingen_US
dc.titleBioModel engineering for multiscale Systems Biologyen_US
dc.typeArticleen_US
dc.identifier.doihttp://dx.doi.org/10.1016/j.pbiomolbio.2012.10.001-
dc.relation.isPartOfProgress in Biophysics and Molecular Biology-
dc.relation.isPartOfProgress in Biophysics and Molecular Biology-
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Appears in Collections:Brunel OA Publishing Fund
Dept of Computer Science Research Papers

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