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Repeats and correlations in human DNA sequences.

Dirk Holste1, Ivo Grosse, Stephan Beirer

  • 1Department of Biology, Massachusetts Institute of Technology, Cambridge 02139, USA. holste@mit.edu

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|October 26, 2005
PubMed
Summary

Human chromosomes 20, 21, and 22 lack typical DNA sequence periodicities but show dependencies at ~135 and ~165 base pairs. Interspersed repeats significantly influence short-range correlations, but weakly affect long-range ones.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Human chromosomes exhibit complex sequence patterns.
  • Understanding DNA sequence correlations is crucial for genomic research.

Purpose of the Study:

  • To analyze nucleotide-nucleotide mutual information (I(k)) in human chromosomes 20, 21, and 22.
  • To investigate the influence of interspersed repeats on DNA sequence correlations.

Main Methods:

  • Analysis of nucleotide-nucleotide mutual information function I(k).
  • Study of DNA sequences from human chromosomes 20, 21, and 22.
  • Use of simple stochastic models to represent interspersed repeats.

Main Results:

  • Absence of k=3 bp periodicity (protein coding) and k=10-11 bp periodicity (secondary structure, bendability).

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  • Presence of significant statistical dependencies at approximately k=135 bp and k=165 bp.
  • Interspersed repeats dominate short-range correlations, but weakly influence long-range correlations due to Alu repeat clustering.
  • Conclusions:

    • Interspersed repeats are key drivers of short-range sequence correlations in human chromosomes.
    • The observed statistical patterns are not explained by typical protein-coding or structural periodicities.
    • Alu repeat clustering limits their impact on long-range DNA sequence correlations.