Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/10472
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Heiner, M | - |
dc.contributor.author | Gilbert, D | - |
dc.date.accessioned | 2015-03-23T14:21:06Z | - |
dc.date.available | 2012 | - |
dc.date.available | 2015-03-23T14:21:06Z | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | Progress in Biophysics and Molecular Biology, 111, pp. 119-128, 2013. | en_US |
dc.identifier.issn | 0079-6107 | - |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/10472 | - |
dc.description | This article has been made available through the Brunel Open Access Publishing Fund. | - |
dc.description.abstract | We 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.iso | en | en_US |
dc.subject | BioModel engineering | en_US |
dc.subject | Multiscale modelling | en_US |
dc.subject | Systems Biology | en_US |
dc.subject | Synthetic Biology | en_US |
dc.subject | Biomolecular networks | en_US |
dc.subject | Coloured qualitative/stochastic/continuous/hybrid Petri nets | en_US |
dc.subject | Model checking | en_US |
dc.title | BioModel engineering for multiscale Systems Biology | en_US |
dc.type | Article | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/j.pbiomolbio.2012.10.001 | - |
dc.relation.isPartOf | Progress in Biophysics and Molecular Biology | - |
dc.relation.isPartOf | Progress in Biophysics and Molecular Biology | - |
pubs.organisational-data | /Brunel | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences/Dept of Computer Science | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences/Dept of Computer Science/Computer Science | - |
pubs.organisational-data | /Brunel/Brunel Staff by Institute/Theme | - |
pubs.organisational-data | /Brunel/Brunel Staff by Institute/Theme/Institute of Environmental, Health and Societies | - |
pubs.organisational-data | /Brunel/Brunel Staff by Institute/Theme/Institute of Environmental, Health and Societies/Synthetic Biology | - |
pubs.organisational-data | /Brunel/Group Publication Pages | - |
Appears in Collections: | Brunel OA Publishing Fund Dept of Computer Science Research Papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
FullText.pdf | 1.69 MB | Adobe PDF | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.