Power law exponents characterizing human DNA
| dc.contributor.author | Provata, A. | |
| dc.contributor.author | Oikonomou, Th. | |
| dc.date.accessioned | 2016-01-26T10:03:57Z | |
| dc.date.available | 2016-01-26T10:03:57Z | |
| dc.date.issued | 2007 | |
| dc.description.abstract | The 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.citation | Provata, A., & Oikonomou, T. (2007). Power law exponents characterizing human DNA. Physical Review E—Statistical, Nonlinear, and Soft Matter Physics, 75(5), 056102. | |
| dc.identifier.doi | https://doi.org/10.1103/PhysRevE.75.056102 | |
| dc.identifier.uri | http://nur.nu.edu.kz/handle/123456789/1039 | |
| dc.language.iso | en | |
| dc.publisher | The American Physical Society | |
| dc.source | Physical Review E—Statistical, Nonlinear, and Soft Matter Physics, 75(5). | |
| dc.subject | physics | |
| dc.subject | human DNA | |
| dc.title | Power law exponents characterizing human DNA | |
| dc.type | Article |
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