SCALING DETECTION IN EXTRACHROMOSOMAL DNA
Sebastian Jaroszewicz,
Maria C. Mariani,
Osei K. Tweneboah and
Maria P. Beccar-Varela
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Sebastian Jaroszewicz: Gerencia de Investigación y Aplicaciones, Comisión Nacional de EnergÃa Atómica, Avenida General Paz 1499, 1650 San Martin, Buenos Aires, Argentina
Maria C. Mariani: ��Department of Mathematical Sciences, University of Texas at El Paso, El Paso, TX 79968, USA‡Computational Science Program, University of Texas at El Paso, El Paso, TX 79968, USA
Osei K. Tweneboah: �Department of Data Science, Ramapo College of New Jersey, Mahwah, NJ 07430, USA
Maria P. Beccar-Varela: ��Department of Mathematical Sciences, University of Texas at El Paso, El Paso, TX 79968, USA
FRACTALS (fractals), 2022, vol. 30, issue 09, 1-10
Abstract:
In this work, we study the statistical correlations in mitochondrial and chloroplastid genomes using the diffusion entropy analysis method and estimate the value of the Hurst exponent using the detrended fluctuation analysis. We compare the scaling exponents of both methods for three sets of genomes: mitochondrial DNA from organisms belonging to the plantae and animalia kingdoms and chloroplast DNA. We find that a wide variety of behaviors depart from the Lévy statistics previously proposed for DNA sequences.
Keywords: Diffusion Entropy; Balanced Estimator Diffusion Entropy (BEDE); Diffusion Entropy Analysis (DEA); DNA; Lévy Walks (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:wsi:fracta:v:30:y:2022:i:09:n:s0218348x22501948
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DOI: 10.1142/S0218348X22501948
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