Transactions on Computational Systems Biology XI

  • Corrado Priami
  • Ralph-Johan Back
  • Ion Petre

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5750)

Also part of the Lecture Notes in Bioinformatics book sub series (volume 5750)

Table of contents

  1. Front Matter
  2. Computational Models for Cell Processes

    1. Muffy Calder, Jane Hillston
      Pages 1-25
    2. Bogdan Aman, Gabriel Ciobanu
      Pages 26-44
    3. Federica Ciocchetta
      Pages 45-68
    4. D. Bošnački, T. E. Pronk, E. P. de Vink
      Pages 69-89
    5. Vincent Danos, Jérôme Feret, Walter Fontana, Russ Harmer, Jean Krivine
      Pages 116-137
    6. Monika Heiner, Sebastian Lehrack, David Gilbert, Wolfgang Marwan
      Pages 138-163
    7. Maria Pamela C. David, Johnrob Y. Bantang, Eduardo R. Mendoza
      Pages 164-186
    8. Jürgen Dassow, Victor Mitrana
      Pages 187-199
    9. Rodrick Wallace, Deborah Wallace
      Pages 283-334
  3. Back Matter

About this book

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 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.

Keywords

biochemical signaling bioinformatics biology brane calculus cell signalling computational biology epigenetic catalysis evolutionary processors gene expression life sciences molecular communicati petri nets process algebra rule-based modelling stochastic programming

Editors and affiliations

  • Corrado Priami
    • 1
  • Ralph-Johan Back
    • 2
  • Ion Petre
    • 3
  1. 1.Centre for Computational and Systems BiologyThe Microsoft Research - University of TrentoPovoItaly
  2. 2.Department of Information TechnologiesÅbo Akademi UniversityTurkuFinland
  3. 3.Computational Biomodelling LaboratoryTurku Center for Computer ScienceTurkuFinland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-04186-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-04185-3
  • Online ISBN 978-3-642-04186-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book