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Refining Dynamics of Gene Regulatory Networks in a Stochastic π-Calculus Framework

Loïc Paulevé (  Corresponding author ) 1, Morgan Magnin 1, Olivier Roux 1

(2009-06-19)

In this paper, we introduce a framework allowing to model and analyse efficiently Gene Regulatory Networks in their temporal and stochastic aspects. The analysis of stable states and inference of René Thomas' discrete parameters derives from this logical formalism. We offer a compositional approach which comes with a natural translation to the Stochastic π-Calculus. The method we propose consists in successive refinements of generalized dynamics of Gene Regulatory Networks. We apply this method to the control of the differentiation in a Gene Regulatory Network generalizing metazoan segmentation processes.

1:	Institut de Recherche en Communications et en Cybernétique de Nantes (IRCCyN)
	CNRS : UMR6597 – Université de Nantes – École Centrale de Nantes – Ecole des Mines de Nantes – Ecole Polytechnique de l'Université de Nantes

Research team: Moves (IRCCyN, Nantes, FR)

Subject

:

Computer Science/Bioinformatics Computer Science/Modeling and Simulation

Keyword(s): Gene regulatory networks – Temporal and stochastic parameters – René Thomas' parameters inference – Stochastic pi-calculus.

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From: Loïc Paulevé <>

Submitted on: Friday, 19 June 2009 18:17:04

Updated on: Friday, 19 June 2009 23:24:09