Multifractal detrended cross-correlation analysis of genome sequences using chaos-game representation

Mayukha Pal, V. Satya Kiran, P. Madhusudana Rao and P. Manimaran

Physica A: Statistical Mechanics and its Applications, 2016, vol. 456, issue C, 288-293

Abstract: We characterized the multifractal nature and power law cross-correlation between any pair of genome sequence through an integrative approach combining 2D multifractal detrended cross-correlation analysis and chaos game representation. In this paper, we have analyzed genomes of some prokaryotes and calculated fractal spectra h(q) and f(α). From our analysis, we observed existence of multifractal nature and power law cross-correlation behavior between any pair of genome sequences. Cluster analysis was performed on the calculated scaling exponents to identify the class affiliation and the same is represented as a dendrogram. We suggest this approach may find applications in next generation sequence analysis, big data analytics etc.

Keywords: Multifractal detrended cross-correlation analysis; Chaos game representation; Genome sequences; Scaling exponent; Cluster analysis (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:456:y:2016:i:c:p:288-293

DOI: 10.1016/j.physa.2016.03.074

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