Kernel methods for the analysis of whole bacterial genomes

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This project addresses the fundamental scientific problem of the identification of regulatory regions and specific promoters within bacterial genomes, with a focus upon two organisms of great social, economic and bioterrism significance. From the machine learning perspective, the project will be the first to produce a kernel-based approach directly tailored to the problem of the detection of regulatory regions. The methods developed will be made available through a straightforward web-based interface, allowing biologists throughout the world to utilize the approach as a tool to be applied to a progressively widening class of bacterial genomes, and even to eukaryotes.