DNA Segmentation as A Model Selection Process
Abstract
Description
Previous divide-and-conquer segmentation analyses of DNA sequences do not provide a satisfactory stopping criterion for the recursion. This paper proposes that segmentation be considered as a model selection process. Using the tools in model selection, a limit for the stopping criterion on the relaxed end can be determined. The Bayesian information criterion, in particular, provides a much more stringent stopping criterion than what is currently used. Such a stringent criterion can be used to delineate larger DNA domains. A relationship between the stopping criterion and the average domain size is empirically determined, which may aid in the determination of isochore borders.
7 pages, 4 figures, Proceedings of the Fifth Annual International Conference of Computational Molecular Biology (RECOMB 2001), to appear
7 pages, 4 figures, Proceedings of the Fifth Annual International Conference of Computational Molecular Biology (RECOMB 2001), to appear