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024 7 _a10.1007/978-3-642-04186-0
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245 1 0 _aTransactions on Computational Systems Biology XI
_h[electronic resource] :
_bComputational Models for Cell Processes /
_cedited by Corrado Priami.
250 _a1st ed. 2009.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2009.
300 _aVIII, 335 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
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338 _aonline resource
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490 1 _aTransactions on Computational Systems Biology ;
_v5750
505 0 _aComputational Models for Cell Processes -- Process Algebra Modelling Styles for Biomolecular Processes -- Simple, Enhanced and Mutual Mobile Membranes -- Bio-PEPA with Events -- In Silico Modelling and Analysis of Ribosome Kinetics and aa-tRNA Competition -- Qualitative and Quantitative Analysis of a Bio-PEPA Model of the Gp130/JAK/STAT Signalling Pathway -- Rule-Based Modelling and Model Perturbation -- Extended Stochastic Petri Nets for Model-Based Design of Wetlab Experiments -- A Projective Brane Calculus with Activate, Bud and Mate as Primitive Actions -- Accepting Networks of Non-inserting Evolutionary Processors -- Discrete Modeling of Biochemical Signaling with Memory Enhancement -- Dynamical Systems and Stochastic Programming: To Ordinary Differential Equations and Back -- Computing Equilibrium Points of Genetic Regulatory Networks -- Code, Context, and Epigenetic Catalysis in Gene Expression.
520 _aThe LNCS journal Transactions on Computational Systems Biology is devoted to inter- and multidisciplinary research in the fields of computer science and life sciences and supports a paradigmatic shift in the techniques from computer and information science to cope with the new challenges arising from the systems oriented point of view of biological phenomena. This special issue on Computational Models for Cell Processes is based on a workshop with the same name that took place in Turku, Finland, on May 27, 2008. The accepted papers, which have passed through a separate peer-review process, span an interesting mix of approaches to systems biology, ranging from quantitative to qualitative techniques, from continuous to discrete mathematics, from deterministic to stochastic methods, and from computational models for biology to computing paradigms inspired by biology. Also included in this issue are three regular submissions dealing with the relationship between ODEs and stochastic concurrent constraint programming, with the equilibrium points of genetic regulatory networks, and with probability models describing how epigenetic context affects gene expression and organismal development.
650 0 _aBioinformatics.
_99561
650 0 _aComputer simulation.
_95106
650 0 _aComputer science.
_99832
650 0 _aArtificial intelligence.
_93407
650 0 _aAlgorithms.
_93390
650 0 _aComputer science
_xMathematics.
_93866
650 0 _aMathematical statistics.
_99597
650 1 4 _aComputational and Systems Biology.
_931619
650 2 4 _aComputer Modelling.
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650 2 4 _aTheory of Computation.
_9166568
650 2 4 _aArtificial Intelligence.
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650 2 4 _aAlgorithms.
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650 2 4 _aProbability and Statistics in Computer Science.
_931857
700 1 _aPriami, Corrado.
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776 0 8 _iPrinted edition:
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830 0 _aTransactions on Computational Systems Biology ;
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856 4 0 _uhttps://doi.org/10.1007/978-3-642-04186-0
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