Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 4, Issue 1


Published
on

June 29, 2019


Pages

267-278


DOI

Article

The self-similarity properties and multifractal analysis of DNA sequences

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Authors

G. Durán-Meza Affiliation:
Departamento de Fśica, Universidad Autónoma Metropolitana Iztapalapa, Avenida San Rafael Atlixco 186, Colonia Vicentina, 09340 Mexico City, Mexico
, J. López-García Affiliation:
División de Matemáticas e Ingenier ía, UNAM-FES Acatlán, Estado de Mexico, Naucalpan, Mexico
and J.L. del Río-Correa Affiliation:
Departamento de Fśica, Universidad Autónoma Metropolitana Iztapalapa, Avenida San Rafael Atlixco 186, Colonia Vicentina, 09340 Mexico City, Mexico


Abstract

In this work is presented a pedagogical point of view of multifractal analysis deoxyribonucleic acid (DNA) sequences is presented. The DNA sequences are formed by 4 nucleotides (adenine, cytosine, guanine, and tymine). Following Jeffrey’s paper we associated a simple contractive function to each nucleotide, and constructed the Hutchinson’s operator W, which was used to build covers of different sizes of the unitary square Q, thus Wk(Q) is a cover of Q, conformed by 4k squares Qk of size 2−k, as each Qk corresponds to a unique subsequence of nucleotides with length k : b1b2...bk. Besides, it is obtained the optimal cover Ck to the fractal F generated for each DNA sequence was obtained. We made a multifractal decomposition of Ck in terms of the sets Jα conformed by the Qk’s with the same value of the Holder exponent α, and determined f (α), the Hausdorff dimension of Jα, using the curdling theorem.


Keywords

Multifractals DNA sequences self-affine Hutchinson operator Holder exponents, 37A60, 37D40


Citation

Durán-Meza, G., López-García, J., & del Río-Correa, J. (2019). The self-similarity properties and multifractal analysis of DNA sequences. Applied Mathematics and Nonlinear Sciences, 4(1), 267–278. https://doi.org/10.2478/AMNS.2019.1.00023
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