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9783540922728

Transactions on Computational Systems Biology X

by ; ; ;
  • ISBN13:

    9783540922728

  • ISBN10:

    3540922725

  • Format: Paperback
  • Copyright: 2009-01-01
  • Publisher: Springer Verlag

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Supplemental Materials

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Summary

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.

Table of Contents

Biological and Biologically-Inspired Communication
Towards a Self-structured Grid: An Ant-Inspired P2P Algorithmp. 1
Robustness to Code and Data Deletion in Autocatalytic Quinesp. 20
A Computational Scheme Based on Random Boolean Networksp. 41
On Channel Capacity and Error Compensation in Molecular Communicationp. 59
Molecular Communication through Gap Junction Channelsp. 81
Clustering Time-Series Gene Expression Data with Unequal Time Intervalsp. 100
Integrating Thermodynamic and Observed-Frequency Data for Non-coding RNA Gene Searchp. 124
An Evolutionary Approach to the Non-unique Oligonucleotide Probe Selection Problemp. 143
Stochastic ¿-Calculus Modelling of Multisite Phosphorylation Based Signaling: The PHO Pathway in Saccharomyces Cerevisiaep. 163
Author Indexp. 197
Table of Contents provided by Ingram. All Rights Reserved.

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