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  DNA sequence evolution with neighbor-dependent mutation

Arndt, P. F., Burge, C. B., & Hwa, T. (2003). DNA sequence evolution with neighbor-dependent mutation. Journal of Computational Biology, 10(3-4), 313-322. doi:10.1089/10665270360688039.

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Genre: Journal Article
Alternative Title : J Comput Biol

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 Creators:
Arndt, Peter F.1, Author              
Burge, Christopher B., Author
Hwa, Terence, Author
Affiliations:
1Evolutionary Genomics (Peter Arndt), Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479638              

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Free keywords: DNA-sequence evolution; dinucleotide frequency; neighbor-dependent mutation; CpG-methylation-deamination
 Abstract: We introduce a model of DNA sequence evolution which can account for biases in mutation rates that depend on the identity of the neighboring bases. An analytic solution for this class of models is developed by adopting well-known methods of nonlinear dynamics. Results are presented for the CpG-methylation-deamination process, which dominates point substitutions in vertebrates. The dinucleotide frequencies generated by the model (using empirically obtained mutation rates) match the overall pattern observed in noncoding DNA. A web-based tool has been constructed to compute single- and dinucleotide frequencies for arbitrary neighbor-dependent mutation rates. Also provided is the backward procedure to infer the mutation rates using maximum likelihood analysis given the observed single- and dinucleotide frequencies. Reasonable estimates of the mutation rates can be obtained very efficiently, using generic noncoding DNA sequences as input, after masking out long homonucleotide subsequences. Our method is much more convenient and versatile to use than the traditional method of deducing mutation rates by counting mutation events in carefully chosen sequences. More generally, our approach provides a more realistic but still tractable description of noncoding genomic DNA and may be used as a null model for various sequence analysis applications.

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Language(s): eng - English
 Dates: 2003-06
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 177265
DOI: 10.1089/10665270360688039
 Degree: -

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Title: Journal of Computational Biology
  Alternative Title : J Comput Biol
Source Genre: Journal
 Creator(s):
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Publ. Info: -
Pages: - Volume / Issue: 10 (3-4) Sequence Number: - Start / End Page: 313 - 322 Identifier: ISSN: 1066-5277