Evolutionary segmentation of yeast genome

Authors:
Daniel Mateos;José C. Riquelme;Jesús S. Aguilar-Ruiz
Affiliations:
U. of Seville, Seville, Spain;U. of Seville, Seville, Spain;U. of Seville, Seville, Spain
Venue:
Proceedings of the 2004 ACM symposium on Applied computing
Year:
2004

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DNA segmentation as a model selection process

RECOMB '01 Proceedings of the fifth annual international conference on Computational biology

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Abstract

Segmentation algorithms differ from clustering algorithms with regard to how to deal with the physical location of genes throughout the sequence. Therefore, segments have to keep the original positions of consecutive genes, which is not a constraint for clustering algorithms. It has been proven that exist functional relations among neighbour-genes, so the localization of the boundaries between these functionally similar groups of genes has turned out an important challenge. In this paper, we present an evolutionary algorithm to segment the yeast genome.