Transactions on Computational Systems Biology XIII

by Ralph-Johan Back (Editor), Ion Petre (Editor), Erik de Vink (Editor)

Overview

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.

Product Details

ISBN-13:	9783642197475
Publisher:	Springer Berlin Heidelberg
Publication date:	05/16/2011
Series:	Lecture Notes in Computer Science , #6575
Edition description:	2011
Pages:	193
Product dimensions:	6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

Evolutionary Dynamics of a Population of Cells with a Toxin Suppressor Gene.- Translation from the Quantified Implicit Process Flow Abstraction in SBGN-PD Diagrams to Bio-PEPA Illustrated on the Cholesterol Pathway.- Impulse-Based Dynamic Simulation of Deformable Biological Structures.- Delay Shastic Simulation of Biological Systems: A Purely Delayed Approach.- Modelling Ammonium Transporters in Arbuscular Mycorrhiza Symbiosis.- Genetically Regulated Metabolic Networks: Gale-Nikaido Modules and Differential Inequalities.- Cultural Epigenetics: On the Heritability of Complex Diseases.- Refining Dynamics of Gene Regulatory Networks in a Shastic π-Calculus Framework.

Editorial Reviews

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)

From the Publisher