Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/3036
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGilbert, D-
dc.contributor.authorHeiner, M-
dc.contributor.authorRosser, S-
dc.contributor.authorFulton, R-
dc.contributor.authorGu, X-
dc.contributor.authorTrybiło, M-
dc.coverage.spatial13en
dc.date.accessioned2009-02-12T12:09:37Z-
dc.date.available2009-02-12T12:09:37Z-
dc.date.issued2008-
dc.identifier.citationBiologically-Inspired Collaborative Computing. Volume 268 , pp. 163-175en
dc.identifier.isbn978-0-387-09654-4-
dc.identifier.issn1571-5736-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/3036-
dc.description.abstractWe 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.extent1301727 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.publisherSpringeren
dc.titleA case study in model-driven synthetic biologyen
dc.typePreprinten
Appears in Collections:Computer Science
Dept of Computer Science Research Papers

Files in This Item:
File Description SizeFormat 
bicc08.pdf1.27 MBAdobe PDFView/Open


Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.