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  Solvable Sequence Evolution Models and Genomic Correlations

Messer, P. W., Arndt, P. F., & Lässig, M. (2005). Solvable Sequence Evolution Models and Genomic Correlations. Physical Review Letters, 94, 138103-1-138103-4. doi:10.1103/PhysRevLett.94.138103.

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Genre: Journal Article
Alternative Title : Phys. Rev. Lett.

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PhysRevLett_94_138103.pdf (Any fulltext), 715KB
 
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 Creators:
Messer, Philipp W.1, Author
Arndt, Peter F.2, Author           
Lässig, Michael, Author
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1Max Planck Society, ou_persistent13              
2Evolutionary 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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 Abstract: We study a minimal model for genome evolution whose elementary processes are single site mutation, duplication and deletion of sequence regions, and insertion of random segments. These processes are found to generate long-range correlations in the composition of letters as long as the sequence length is growing; i.e., the combined rates of duplications and insertions are higher than the deletion rate. For constant sequence length, on the other hand, all initial correlations decay exponentially. These results are obtained analytically and by simulations. They are compared with the long-range correlations observed in genomic DNA, and the implications for genome evolution are discussed.

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Language(s): eng - English
 Dates: 2005-04-05
 Publication Status: Issued
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 Identifiers: eDoc: 267904
DOI: 10.1103/PhysRevLett.94.138103
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Title: Physical Review Letters
  Alternative Title : Phys. Rev. Lett.
Source Genre: Journal
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Pages: - Volume / Issue: 94 Sequence Number: - Start / End Page: 138103-1 - 138103-4 Identifier: ISSN: 1079-7114