New stopping criteria for segmenting DNA sequences.
We propose a solution on the stopping criterion in segmenting inhomogeneous DNA sequences with complex statistical patterns. This new stopping criterion is based on Bayesian information criterion in the model selection framework. When this criterion is applied to telomere of S. cerevisiae and the complete sequence of E. coli, borders of biologically meaningful units were identified, and a more reasonable number of domains was obtained. We also introduce a measure called segmentation strength which can be used to control the delineation of large domains. The relationship between the average domain size and the threshold of segmentation strength is determined for several genome sequences.
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Laboratory of Statistical Genetics, Box 192, Rockefeller University, 1230 York Avenue, New York, New York 10021, USA.
D001499:Bayes Theorem; D004247:DNA / Q000032:analysis* / Q000235:genetics; D004269:DNA, Bacterial / Q000032:analysis / Q000235:genetics; D004271:DNA, Fungal / Q000032:analysis / Q000235:genetics; D004926:Escherichia coli / Q000235:genetics; D008957:Models, Genetic; D012441:Saccharomyces cerevisiae / Q000235:genetics; D017422:Sequence Analysis, DNA / Q000379:methods*; D016615:Telomere / Q000235:genetics
D004269:DNA, Bacterial; D004271:DNA, Fungal; D004247:DNA