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Thesis Name: Scaling and Hierarchical Structures in DNA Sequences
Usage: Experimental; Theoretical
Keyword: DNA; molecular configurations; sequences; scaling phenomena; genetics
Remarks: A method of analyzing DNA correlation structure is introduced. Density fluctuations of nucleotides are shown to display an extended self-similarity scaling when the scale varies between 100 and 8000 base pairs. The scaling is accurately described by a hierarchical structure model of She and Leveque [Phys. Rev. Lett. 72, 336 (1994)]. The derived model parameter is able to quantify moderately large-scale correlations which exist in a true DNA sequence but are absent in its randomly shuffled sequence and in a simulated model sequence by an evolution model of Hsieh et al. [Phys. Rev. Lett. 90, 018101 (2003)]. Finally, it is shown that varies with the evolution category and measures the organizational complexity of the genome.
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