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Mosaic organization of DNA nucleotides

Chung‐Kang PengSergey V. BuldyrevShlomo HavlinMichael SimonsH. Eugene StanleyAry L. Goldberger

Abstract

Long-range power-law correlations have been reported recently for DNA sequences containing noncoding regions. We address the question of whether such correlations may be a trivial consequence of the known mosaic structure ("patchiness") of DNA. We analyze two classes of controls consisting of patchy nucleotide sequences generated by different algorithms--one without and one with long-range power-law correlations. Although both types of sequences are highly heterogenous, they are quantitatively distinguishable by an alternative fluctuation analysis method that differentiates local patchiness from long-range correlations. Application of this analysis to selected DNA sequences demonstrates that patchiness is not sufficient to account for long-range correlation properties.

Fractal and DNA sequence analysisRNA and protein synthesis mechanismsMachine Learning in BioinformaticsMosaicRange (aeronautics)DNANucleotidePower lawStatistical physicsDNA sequencingEvolutionary biologyBiologyComputational biology

MeSH terms

Base SequenceDNADNA, BacterialDNA, ViralEscherichia coliExonsHumansIntronsNucleotide MappingBacteriophage lambdaReceptors, Antigen, T-CellChromosome WalkingSequence Analysis, DNA

Funding

  • National Science Foundation
  • National Institutes of Health
  • Office of Naval Research
  • National Institute of Mental Health
Citations
4,964
FWCI
4.80
field-weighted impact
References
16
Percentile
96%
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