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Multifractal analysis of coronavirus sequences

Author

Listed:
  • Correia, J.P.
  • de Lima, M.M.F.
  • Silva, R.
  • Anselmo, D.H.A.L.
  • Vasconcelos, M.S.
  • Viswanathan, G.M.

Abstract

We investigate the RNA fractal properties of some textual viruses of the Coronaviridae family. These organisms can seriously infect people and endanger the world’s health systems. The whole data follows from the NCBI databases. After investigating fractality at various scales, we created two dummy time series to compare with the walks of the coronavirus sequences. We also employ a technique to look for crossover in DNA temporal sequences. Our findings demonstrate that the sequences do not act randomly and contain more significant concentrations of adenine and guanine bases. It proves the existence of power law correlations for RNA sequences at various sizes and the persistence tendency that all species exhibit in their RNA sequences. We also observe that there are no crossover timeframes and that all sequences are monoscale.

Suggested Citation

  • Correia, J.P. & de Lima, M.M.F. & Silva, R. & Anselmo, D.H.A.L. & Vasconcelos, M.S. & Viswanathan, G.M., 2023. "Multifractal analysis of coronavirus sequences," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).
    • Handle: RePEc:eee:chsofr:v:174:y:2023:i:c:s0960077923007440
    DOI: 10.1016/j.chaos.2023.113843
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    References listed on IDEAS

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    Keywords

    Coronaviridae; RNA; Fractal; Viral;
    All these keywords.

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