Transactions on Computational Systems Biology XIV

Special Issue on Computational Models for Cell Processes

  • Corrado Priami
  • Ion Petre
  • Erik de Vink
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7625)

Table of contents

  1. Front Matter
  2. Biological and Biologically-Inspired Communication

    1. Alessio Angius, András Horváth, Verena Wolf
      Pages 26-52
    2. Ezio Bartocci, Pietro Liò, Emanuela Merelli, Nicola Paoletti
      Pages 53-76
    3. L. Brim, J. Fabriková, S. Dražan, D. Šafránek
      Pages 77-101
    4. Andrzej Ehrenfeucht, Jetty Kleijn, Maciej Koutny, Grzegorz Rozenberg
      Pages 102-122
    5. Cristian Versari, Gianluigi Zavattaro
      Pages 123-150
    6. Qixia Yuan, Panuwat Trairatphisan, Jun Pang, Sjouke Mauw, Monique Wiesinger, Thomas Sauter
      Pages 151-180
    7. Andrzej Mizera, Eugen Czeizler, Ion Petre
      Pages 181-203
  3. Back Matter

About these proceedings

Introduction

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.

Keywords

Markov population process natural computing reaction system stochastic model checking trend formula

Editors and affiliations

  • Corrado Priami
    • 1
  • Ion Petre
    • 2
  • Erik de Vink
    • 3
  1. 1.Centre for Computational and Systems BiologyThe Microsoft Research - University of TrentoPovoItaly
  2. 2.Department of Information TechnologiesAkademi UniversityTurkuFinland
  3. 3.Technische Universiteit EindhovenEindhovenThe Netherlands

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-35524-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-35523-3
  • Online ISBN 978-3-642-35524-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349