  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.
