Statistical Science

Statistical methods for DNA sequence segmentation

Jerome V. Braun and Hans-Georg Müller

Full-text: Open access

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.

Article information

Source
Statist. Sci. Volume 13, Number 2 (1998), 142-162.

Dates
First available in Project Euclid: 9 August 2002

Permanent link to this document
http://projecteuclid.org/euclid.ss/1028905933

Digital Object Identifier
doi:10.1214/ss/1028905933

Mathematical Reviews number (MathSciNet)
MR1661506

Zentralblatt MATH identifier
0960.62121

Citation

Braun, Jerome V.; Müller, Hans-Georg. Statistical methods for DNA sequence segmentation. Statist. Sci. 13 (1998), no. 2, 142--162. doi:10.1214/ss/1028905933. http://projecteuclid.org/euclid.ss/1028905933.


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