Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/16641
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Peer Review Status: Refereed
Author(s): Scott, Erin
Hoyle, Andrew
Shankland, Carron
Contact Email: c.e.shankland@stir.ac.uk
Title: PEPA'd Oysters: Converting Dynamic Energy Budget Models to Bio-PEPA, illustrated by a Pacific oyster case study
Editor(s): Bradley, J
Heljanko, K
Knottenbelt, W
Thomas, N
Citation: Scott E, Hoyle A & Shankland C (2013) PEPA'd Oysters: Converting Dynamic Energy Budget Models to Bio-PEPA, illustrated by a Pacific oyster case study. Bradley J (Editor), Heljanko K (Editor), Knottenbelt W (Editor) & Thomas N (Editor) PASM'12: Sixth International Workshop on Practical Applications of Stochastic Modelling, Imperial College London, UK, 17.09.2012-17.09.2012. Electronic Notes in Theoretical Computer Science, 296, pp. 211-228. https://doi.org/10.1016/j.entcs.2013.07.014
Issue Date: 16-Aug-2013
Date Deposited: 12-Sep-2013
Conference Name: PASM'12: Sixth International Workshop on Practical Applications of Stochastic Modelling
Conference Dates: 2012-09-17 - 2012-09-17
Conference Location: Imperial College London, UK
Abstract: We present a Bio-PEPA (Biochemical-Performance Evaluation Process Algebra) computational model for the Pacific oyster, derived from a DEB (Dynamic Energy Budget) mathematical model. Experience with this specific model allows us to propose a generic scheme for translation between the widely-used DEB theory and Bio-PEPA. The benefits of translation are that a range of novel analysis tools become available, therefore improving the potential to understand complex biological phenomena at a systems level. This work also provides a link between biology, mathematics and computer science: such interlinking of disciplines is the core of the systems approach to biology.
Status: VoR - Version of Record
Rights: This article is open-access. Open access publishing allows free access to and distribution of published articles where the author retains copyright of their work by employing a Creative Commons attribution licence. Proper attribution of authorship and correct citation details should be given.
Licence URL(s): http://creativecommons.org/licenses/by-nc-nd/4.0/

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