Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/3036
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Gilbert, D | - |
dc.contributor.author | Heiner, M | - |
dc.contributor.author | Rosser, S | - |
dc.contributor.author | Fulton, R | - |
dc.contributor.author | Gu, X | - |
dc.contributor.author | Trybiło, M | - |
dc.coverage.spatial | 13 | en |
dc.date.accessioned | 2009-02-12T12:09:37Z | - |
dc.date.available | 2009-02-12T12:09:37Z | - |
dc.date.issued | 2008 | - |
dc.identifier.citation | Biologically-Inspired Collaborative Computing. Volume 268 , pp. 163-175 | en |
dc.identifier.isbn | 978-0-387-09654-4 | - |
dc.identifier.issn | 1571-5736 | - |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/3036 | - |
dc.description.abstract | We report on a case study in synthetic biology, demonstrating the modeldriven design of a self-powering electrochemical biosensor. An essential result of the design process is a general template of a biosensor, which can be instantiated to be adapted to specific pollutants. This template represents a gene expression network extended by metabolic activity. We illustrate the model-based analysis of this template using qualitative, stochastic and continuous Petri nets and related analysis techniques, contributing to a reliable and robust design. | en |
dc.format.extent | 1301727 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | Springer | en |
dc.title | A case study in model-driven synthetic biology | en |
dc.type | Preprint | en |
Appears in Collections: | Computer Science Dept of Computer Science Research Papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
bicc08.pdf | 1.27 MB | Adobe PDF | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.