Publication year: 2008
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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.
Subject: Computer Science, Computational Biology, Bioinformatics, Computer Communication Networks, Algorithm Analysis and Problem Complexity, Computation by Abstract Devices, Probability and Statistics in Computer Science, ant algorithms, biology, boolean function, channel capacity, complexity, computational biology, covariance models, database search, evolution, fault-tolerance, gene expression, genetic algorithms, genetic regulatory ne, life sciences, model