© 2008

Transactions on Computational Systems Biology X

  • Corrado Priami
  • Falko Dressler
  • Ozgur B. Akan
  • Alioune Ngom

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5410)

Also part of the Lecture Notes in Bioinformatics book sub series (volume 5410)

Table of contents

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

    1. Agostino Forestiero, Carlo Mastroianni, Giuseppe Papuzzo, Giandomenico Spezzano
      Pages 1-19
    2. Thomas Meyer, Daniel Schreckling, Christian Tschudin, Lidia Yamamoto
      Pages 20-40
    3. Elena Dubrova, Maxim Teslenko, Hannu Tenhunen
      Pages 41-58
    4. Tadashi Nakano, Tatsuya Suda, Takako Koujin, Tokuko Haraguchi, Yasushi Hiraoka
      Pages 81-99
    5. Luis Rueda, Ataul Bari, Alioune Ngom
      Pages 100-123
    6. Lili Wang, Alioune Ngom, Robin Gras, Luis Rueda
      Pages 143-162
  3. Back Matter

About this book


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 Biological and Biologically-inspired Communication contains the extended versions of the best papers presented at the Second International Conference on Bio-Inspired Models of Network, Information, and Computing Systems (BIONETICS 2007). The first three papers describe the applicability of bio-inspired techniques in the technical domain of computing and communication. The following two papers focus on molecular communication and the properties of such communication channels. Two further papers demonstrate techniques for the analysis of genes, and these are followed by a paper outlining an evolutionary approach to the non-unique oligonucleotide probe selection problem. The final paper, which is a regular paper, describes a stochastic pi-calculus model of the PHO pathway.


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Editors and affiliations

  • Corrado Priami
    • 1
  • Falko Dressler
    • 2
  • Ozgur B. Akan
    • 3
  • Alioune Ngom
    • 4
  1. 1.The Microsoft ResearchUniversity of Trento, Centre for Computational and Systems BiologyPovo (TN)Italy
  2. 2.Department of Computer ScienceUniversity of ErlangenErlangenGermany
  3. 3.Department of Electrical and Electronics EngineeringMiddle East Technical UniversityAnkaraTurkey
  4. 4.School of Computer ScienceUniversity of WindsorWindsorCanada

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