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Transactions on Computational Systems Biology XIII [Pehme köide]

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  • Formaat: Paperback / softback, 193 pages, kõrgus x laius: 235x155 mm, kaal: 317 g, VII, 193 p., 1 Paperback / softback
  • Sari: Transactions on Computational Systems Biology 6575
  • Ilmumisaeg: 28-Mar-2011
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642197477
  • ISBN-13: 9783642197475
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  • Formaat: Paperback / softback, 193 pages, kõrgus x laius: 235x155 mm, kaal: 317 g, VII, 193 p., 1 Paperback / softback
  • Sari: Transactions on Computational Systems Biology 6575
  • Ilmumisaeg: 28-Mar-2011
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642197477
  • ISBN-13: 9783642197475
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 13th Transactions on Computational Systems Biology volume, guest edited by Ralph-Johan Back, 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 Eindhoven, The Netherlands, in November 2009. From different points of view and following various approaches, the papers cover a wide range of topics in systems biology, addressing the dynamics and the computational principles of this emerging field.

This book covers Computational Models for Cell Processes, featuring enhanced contributions from the CompMod workshop (2009). Covers a wide range of topics in systems biology, addressing the dynamics and the computational principles of this emerging field.

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From the reviews:

This collection of papers offers a great synopsis of the actual trends in systems biology. In this book, researchers, students, and computational biologists will find examples of various modern time- and space-dependent prediction and simulation methods and models. The wealth of methods and approaches presented in this collection is clear evidence that great progress has been made in modeling many particular aspects of systems biology. (Adrian Pasculescu, ACM Computing Reviews, April, 2012)

Evolutionary Dynamics of a Population of Cells with a Toxin Suppressor Gene
1(12)
Antti Hakkinen
Fred G. Biddle
Olli-Pekka Smolander
Olli Yli-Harja
Andre S. Ribeiro
Translation from the Quantified Implicit Process Flow Abstraction in SBGN-PD Diagrams to Bio-PEPA Illustrated on the Cholesterol Pathway
13(26)
Laurence Loewe
Maria Luisa Guerriero
Steven Watterson
Stuart Moodie
Peter Ghazal
Jane Hillston
Impulse-Based Dynamic Simulation of Deformable Biological Structures
39(22)
Rhys Goldstein
Gabriel Wainer
Delay Stochastic Simulation of Biological Systems: A Purely Delayed Approach
61(24)
Roberto Barbuti
Giulio Caravagna
Andrea Maggiolo-Schettini
Paolo Milazzo
Modelling Ammonium Transporters in Arbuscular Mycorrhiza Symbiosis
85(25)
Mario Coppo
Ferruccio Damiani
Maurizio Drocco
Elena Grassi
Mike Guether
Angelo Troina
Genetically Regulated Metabolic Networks: Gale-Nikaido Modules and Differential Inequalities
110(21)
Ovidiu Radulescu
Anne Siegel
Elisabeth Pecou
Clement Chatelain
Sandrine Lagarrigue
Cultural Epigenetics: On the Heritability of Complex Diseases
131(40)
Rodrick Wallace
Deborah Wallace
Refining Dynamics of Gene Regulatory Networks in a Stochastic π-Calculus Framework
171(22)
Loic Pauleve
Morgan Magnin
Olivier Roux
Author Index 193