Literature DB >> 23760660

On the fractal geometry of DNA by the binary image analysis.

Carlo Cattani1, Gaetano Pierro.   

Abstract

The multifractal analysis of binary images of DNA is studied in order to define a methodological approach to the classification of DNA sequences. This method is based on the computation of some multifractality parameters on a suitable binary image of DNA, which takes into account the nucleotide distribution. The binary image of DNA is obtained by a dot-plot (recurrence plot) of the indicator matrix. The fractal geometry of these images is characterized by fractal dimension (FD), lacunarity, and succolarity. These parameters are compared with some other coefficients such as complexity and Shannon information entropy. It will be shown that the complexity parameters are more or less equivalent to FD, while the parameters of multifractality have different values in the sense that sequences with higher FD might have lower lacunarity and/or succolarity. In particular, the genome of Drosophila melanogaster has been considered by focusing on the chromosome 3r, which shows the highest fractality with a corresponding higher level of complexity. We will single out some results on the nucleotide distribution in 3r with respect to complexity and fractality. In particular, we will show that sequences with higher FD also have a higher frequency distribution of guanine, while low FD is characterized by the higher presence of adenine.

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Year:  2013        PMID: 23760660     DOI: 10.1007/s11538-013-9859-9

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  8 in total

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2.  Fractal anatomy of the hippocampal formation.

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3.  A fingerprint encryption scheme based on irreversible function and secure authentication.

Authors:  Yijun Yang; Jianping Yu; Peng Zhang; Shulan Wang
Journal:  Comput Math Methods Med       Date:  2015-03-22       Impact factor: 2.238

4.  Biocomplexity and Fractality in the Search of Biomarkers of Aging and Pathology: Focus on Mitochondrial DNA and Alzheimer's Disease.

Authors:  Annamaria Zaia; Pierluigi Maponi; Giuseppina Di Stefano; Tiziana Casoli
Journal:  Aging Dis       Date:  2017-02-01       Impact factor: 6.745

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Authors:  Nilesh Kumar Thakur; Smriti Chandra Srivastava; Archana Ojha
Journal:  Iran J Sci Technol Trans A Sci       Date:  2021-01-05       Impact factor: 1.194

6.  Entropy-based adaptive nuclear texture features are independent prognostic markers in a total population of uterine sarcomas.

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Review 7.  Fractal dimension of chromatin: potential molecular diagnostic applications for cancer prognosis.

Authors:  Konradin Metze
Journal:  Expert Rev Mol Diagn       Date:  2013-09       Impact factor: 5.225

8.  Biocomplexity and Fractality in the Search of Biomarkers of Aging and Pathology: Mitochondrial DNA Profiling of Parkinson's Disease.

Authors:  Annamaria Zaia; Pierluigi Maponi; Martina Zannotti; Tiziana Casoli
Journal:  Int J Mol Sci       Date:  2020-03-04       Impact factor: 5.923

  8 in total

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