Classical modeling approaches for biology are mainly grounded in mathematics, and specifically on ordinary differential equations (ODE). Process calculi-based conceptual and computational tools are an alternative and emergent approach. Here we focus our analysis on BlenX (a beta-binders inspired programming language) showing how it is possible to easily re-use ODE models within this framework. An example will show then the advantages of moving into a stochastic approach. This is the preliminary version of a paper that was published in Proceedings of Pacific Symposium on Biocomputing (PSB 2009), January, 2009. The original publication is available at http://psb.stanford.edu/psb-online/proceedings/psb09/

From Solvable to Executable Models of Biological Systems / Palmisano, Alida; Priami, Corrado. - ELETTRONICO. - (2008), pp. 1-3.

From Solvable to Executable Models of Biological Systems

Palmisano, Alida;Priami, Corrado
2008-01-01

Abstract

Classical modeling approaches for biology are mainly grounded in mathematics, and specifically on ordinary differential equations (ODE). Process calculi-based conceptual and computational tools are an alternative and emergent approach. Here we focus our analysis on BlenX (a beta-binders inspired programming language) showing how it is possible to easily re-use ODE models within this framework. An example will show then the advantages of moving into a stochastic approach. This is the preliminary version of a paper that was published in Proceedings of Pacific Symposium on Biocomputing (PSB 2009), January, 2009. The original publication is available at http://psb.stanford.edu/psb-online/proceedings/psb09/
2008
Trento
The Microsoft Research - University of Trento Centre for Computational and Systems Biology
From Solvable to Executable Models of Biological Systems / Palmisano, Alida; Priami, Corrado. - ELETTRONICO. - (2008), pp. 1-3.
Palmisano, Alida; Priami, Corrado
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/358714
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