Power law exponents characterizing human DNA

dc.contributor.authorProvata, A.
dc.contributor.authorOikonomou, Th.
dc.date.accessioned2016-01-26T10:03:57Z
dc.date.available2016-01-26T10:03:57Z
dc.date.issued2007
dc.description.abstractThe size distributions of all known coding and noncoding DNA sequences are studied in all human chromosomes. In a unified approach, both introns and intergenic regions are treated as noncoding regions. The distributions of noncoding segments Pnc S of size S present long tails Pnc S S−1− nc, with exponents nc ranging between 0.71 for chromosome 13 and 1.2 for chromosome 19 . On the contrary, the exponential, short-range decay terms dominate in the distributions of coding exon segments Pc S in all chromosomes. Aiming to address the emergence of these statistical features, minimal, stochastic, mean-field models are proposed, based on randomly aggregating DNA strings with duplication, influx and outflux of genomic segments. These minimal models produce both the short-range statistics in the coding and the observed power law and fractal statistics in the noncoding DNA.
dc.identifier.citationProvata, A., & Oikonomou, T. (2007). Power law exponents characterizing human DNA. Physical Review E—Statistical, Nonlinear, and Soft Matter Physics, 75(5), 056102.
dc.identifier.doihttps://doi.org/10.1103/PhysRevE.75.056102
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/1039
dc.language.isoen
dc.publisherThe American Physical Society
dc.sourcePhysical Review E—Statistical, Nonlinear, and Soft Matter Physics, 75(5).
dc.subjectphysics
dc.subjecthuman DNA
dc.titlePower law exponents characterizing human DNA
dc.typeArticle

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