Application of information-theoretic tests for the analysis of DNA sequences based on Markov chain models.

N. Usotskaya; B. Ryabko

doi:10.1016/j.csda.2008.07.002

Application of information-theoretic tests for the analysis of DNA sequences based on Markov chain models.

N. Usotskaya^*, B. Ryabko

^*Corresponding author for this work

Quantitative Economics

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

The statistical structure of dna sequences is of great interest to molecular biology, genetics and the theory of evolution. One popular approach is sequence modeling using markov processes of different orders, and further statistical estimation of their parameters. To continue the investigations according to this approach, tests for hypothesis testing are used to estimate the “memory” (or connectivity) of genetic texts and to solve the dna-based problem relating to the phylogenetic system of various groups of organisms.

Original language	English
Pages (from-to)	1861-1872
Number of pages	12
Journal	Computational Statistics & Data Analysis
Volume	53
Issue number	5
DOIs	https://doi.org/10.1016/j.csda.2008.07.002
Publication status	Published - 1 Jan 2009

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10.1016/j.csda.2008.07.002

Cite this

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title = "Application of information-theoretic tests for the analysis of DNA sequences based on Markov chain models.",

abstract = "The statistical structure of dna sequences is of great interest to molecular biology, genetics and the theory of evolution. One popular approach is sequence modeling using markov processes of different orders, and further statistical estimation of their parameters. To continue the investigations according to this approach, tests for hypothesis testing are used to estimate the “memory” (or connectivity) of genetic texts and to solve the dna-based problem relating to the phylogenetic system of various groups of organisms.",

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