Transactions on Computational Systems Biology X / edited by Corrado Priami, Falko Dressler, Ozgur B. Akan, Alioune Ngom.

Format:

Book

Contributor:

Priami, Corrado, editor.

Dressler, Falko, editor.

Akan, Ozgur B., editor.

Ngom, Alioune (Ph. D.), editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Transactions on Computational Systems Biology, 1861-2075 ; 5410.

Transactions on Computational Systems Biology, 1861-2075 ; 5410

Language:

English

Subjects (All):

Bioinformatics.

Computer networks.

Computer simulation.

Algorithms.

Computers.

Mathematical statistics.

Computational Biology/Bioinformatics.

Computer Communication Networks.

Simulation and Modeling.

Algorithm Analysis and Problem Complexity.

Computation by Abstract Devices.

Probability and Statistics in Computer Science.

Local Subjects:

Computational Biology/Bioinformatics.

Computer Communication Networks.

Simulation and Modeling.

Algorithm Analysis and Problem Complexity.

Computation by Abstract Devices.

Probability and Statistics in Computer Science.

Physical Description:

1 online resource (VII, 197 pages).

Edition:

First edition 2008.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.

System Details:

text file PDF

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.

Contents:

Biological and Biologically-Inspired Communication

Towards a Self-structured Grid: An Ant-Inspired P2P Algorithm

Robustness to Code and Data Deletion in Autocatalytic Quines

A Computational Scheme Based on Random Boolean Networks

On Channel Capacity and Error Compensation in Molecular Communication

Molecular Communication through Gap Junction Channels

Clustering Time-Series Gene Expression Data with Unequal Time Intervals

Integrating Thermodynamic and Observed-Frequency Data for Non-coding RNA Gene Search

An Evolutionary Approach to the Non-unique Oligonucleotide Probe Selection Problem

Stochastic ?-Calculus Modelling of Multisite Phosphorylation Based Signaling: The PHO Pathway in Saccharomyces Cerevisiae.

Other Format:

Printed edition:

ISBN:

978-3-540-92273-5

9783540922735

Access Restriction:

Restricted for use by site license.