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May 1998 Statistical methods for DNA sequence segmentation
Jerome V. Braun, Hans-Georg Müller
Statist. Sci. 13(2): 142-162 (May 1998). DOI: 10.1214/ss/1028905933

Abstract

This article examines methods, issues and controversies that have arisen over the last decade in the effort to organize sequences of DNA base information into homogeneous segments. An array of different models and techniques have been considered and applied. We demonstrate that most approaches can be embedded into a suitable version of the multiple change-point problem, and we review the various methods in this light. We also propose and discuss a promising local segmentation method, namely, the application of split local polynomial fitting. The genome of bacteriophage $\lambda$ serves as an example sequence throughout the paper.

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Jerome V. Braun. Hans-Georg Müller. "Statistical methods for DNA sequence segmentation." Statist. Sci. 13 (2) 142 - 162, May 1998. https://doi.org/10.1214/ss/1028905933

Information

Published: May 1998
First available in Project Euclid: 9 August 2002

zbMATH: 0960.62121
MathSciNet: MR1661506
Digital Object Identifier: 10.1214/ss/1028905933

Rights: Copyright © 1998 Institute of Mathematical Statistics

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Vol.13 • No. 2 • May 1998
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