Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/10472Full 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.