Refining Dynamics of Gene Regulatory Networks in a Stochastic π-Calculus Framework
Autor: | Paulevé, Loïc, Magnin, Morgan, Roux, Olivier |
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Přispěvatelé: | Institut de Recherche en Communications et en Cybernétique de Nantes (IRCCyN), Mines Nantes (Mines Nantes)-École Centrale de Nantes (ECN)-Ecole Polytechnique de l'Université de Nantes (EPUN), Université de Nantes (UN)-Université de Nantes (UN)-PRES Université Nantes Angers Le Mans (UNAM)-Centre National de la Recherche Scientifique (CNRS), MeForBio, Université de Nantes (UN)-Université de Nantes (UN)-PRES Université Nantes Angers Le Mans (UNAM)-Centre National de la Recherche Scientifique (CNRS)-Mines Nantes (Mines Nantes)-École Centrale de Nantes (ECN)-Ecole Polytechnique de l'Université de Nantes (EPUN) |
Jazyk: | angličtina |
Rok vydání: | 2011 |
Předmět: |
Temporal and stochastic parameters
René Thomas' parameters inference Quantitative Biology::Molecular Networks Stochastic pi-calculus ComputingMethodologies_GENERAL [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM] Quantitative Biology::Genomics [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM] [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation Gene regulatory networks |
Zdroj: | Transactions on Computational Systems Biology Transactions on Computational Systems Biology, Springer, 2011, XIII, pp.171-191. ⟨10.1007/978-3-642-19748-2_8⟩ |
DOI: | 10.1007/978-3-642-19748-2_8⟩ |
Popis: | International audience; 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. |
Databáze: | OpenAIRE |
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