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Transactions on Computational Systems Biology XIV [electronic resource] : Special Issue on Computational Models for Cell Processes /

Contributor(s): Material type: TextTextSeries: Transactions on Computational Systems Biology ; 7625Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012Edition: 1st ed. 2012Description: X, 233 p. 67 illus. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783642355240
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 570.285 23
  • 570.113 23
LOC classification:
  • QH324.2-324.25
Online resources:
Contents:
Trend-Based Analysis of a Population Model of the AKAP Scaffold Protein -- Quasi Product Form Approximation for Markov Models of Reaction Networks -- Multiple Verification in Complex Biological Systems: The Bone Remodelling Case Study -- On Approximative Reachability Analysis of Biochemical Dynamical Systems -- Minimal Reaction Systems -- Complex Functional Rates in Rule-Based Languages for Biochemistry -- Probabilistic Model Checking of the PDGF Signaling Pathway -- Self-assembly Models of Variable Resolution -- Metabolic Constraints on the Evolution of Genetic Codes: Did Multiple ‘Preaerobic’ Ecosystem Transitions Entrain Richer Dialects via Serial Endosymbiosis?.
In: Springer Nature eBookSummary: The 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, the 14th Transactions on Computational Systems Biology volume, guest edited by Ion Petre and Erik de Vink, focuses on Computational Models for Cell Processes and features a number of carefully selected and enhanced contributions, initially presented at the CompMod workshop, which took place in Aachen, Germany, in September 2011. The papers, written from different points of view and following various approaches, cover a wide range of topics within the field of modeling and analysis of biological systems. In addition, two regular submissions deal with models of self-assembling systems and metabolic constraints on the evolution of genetic codes.
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Trend-Based Analysis of a Population Model of the AKAP Scaffold Protein -- Quasi Product Form Approximation for Markov Models of Reaction Networks -- Multiple Verification in Complex Biological Systems: The Bone Remodelling Case Study -- On Approximative Reachability Analysis of Biochemical Dynamical Systems -- Minimal Reaction Systems -- Complex Functional Rates in Rule-Based Languages for Biochemistry -- Probabilistic Model Checking of the PDGF Signaling Pathway -- Self-assembly Models of Variable Resolution -- Metabolic Constraints on the Evolution of Genetic Codes: Did Multiple ‘Preaerobic’ Ecosystem Transitions Entrain Richer Dialects via Serial Endosymbiosis?.

The 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, the 14th Transactions on Computational Systems Biology volume, guest edited by Ion Petre and Erik de Vink, focuses on Computational Models for Cell Processes and features a number of carefully selected and enhanced contributions, initially presented at the CompMod workshop, which took place in Aachen, Germany, in September 2011. The papers, written from different points of view and following various approaches, cover a wide range of topics within the field of modeling and analysis of biological systems. In addition, two regular submissions deal with models of self-assembling systems and metabolic constraints on the evolution of genetic codes.

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