Statistical properties of DNA sequences

C.-K. Peng, S.V. Buldyrev, A.L. Goldberger, S. Havlin, Rosario Mantegna, M. Simons and H.E. Stanley

Physica A: Statistical Mechanics and its Applications, 1995, vol. 221, issue 1, 180-192

Abstract: We review evidence supporting the idea that the DNA sequence in genese containing non-coding regions is correlated, and that the correlation is remarkably long range — indeed, nucleotides thousands of base pairs distant are correlated. We do not find such a long-range correlation in the coding regions of the gene. We resolve the problem of the “non-stationarity” feature of the sequence of base pairs by applying a new algorithm called detrended fluctuation analysis (DFA). We address the claim of Voss that there is no difference in the statistical properties of coding and non-coding regions of DNA by systematically applying the DFA algorithm, as well as standard FFT analysis, to every DNA sequence (33 301 coding and 29 453 non-coding) in the entire GenBank database. Finally, we describe briefly some recent work showing that the non-coding sequences have certain statistical features in common with natural and artificial languages. Specifically, we adapt to DNA the Zipf approach to analyzing linguistic texts. These statistical properties of non-coding sequences support the possibility that non-coding regions of DNA may carry biological information.

Date: 1995
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Citations: View citations in EconPapers (13)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:221:y:1995:i:1:p:180-192

DOI: 10.1016/0378-4371(95)00247-5

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