Multifractal detrended cross-correlation analysis of coding and non-coding DNA sequences through chaos-game representation

Mayukha Pal, B. Satish, K. Srinivas, P. Madhusudana Rao and P. Manimaran

Physica A: Statistical Mechanics and its Applications, 2015, vol. 436, issue C, 596-603

Abstract: We propose a new approach combining the chaos game representation and the two dimensional multifractal detrended cross correlation analysis methods to examine multifractal behavior in power law cross correlation between any pair of nucleotide sequences of unequal lengths. In this work, we analyzed the characteristic behavior of coding and non-coding DNA sequences of eight prokaryotes. The results show the presence of strong multifractal nature between coding and non-coding sequences of all data sets. We found that this integrative approach helps us to consider complete DNA sequences for characterization, and further it may be useful for classification, clustering, identification of class affiliation of nucleotide sequences etc. with high precision.

Keywords: DNA sequence; Multifractal detrended cross-correlation analysis; Chaos game representation (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:436:y:2015:i:c:p:596-603

DOI: 10.1016/j.physa.2015.05.018

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