A case study in model-driven synthetic biology

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/3036

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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

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