Exploring Various Representation of Genetic Sequences Via the Chaotic Approach

Authors

  • A. A. Navish
  • L. Praveenkumar
  • G. Mahadevan
  • S. Riyasdeen
  • S. Ganesan

DOI:

https://doi.org/10.69980/ajpr.v28i4.226

Keywords:

Fractal Analysis, Genetic Sequences, Influenza Virus, Fractal Dimension, Biopython

Abstract

This study investigates the genetic codes of the Influenza virus through various visual representations, including matrix representation, chaos game representation () and DNA walks. By applying chaotic concept to these genetic code visualizations, we can able to capture even the smallest changes quickly and precisely. Unlike previous studies that relied on outdated Java software, our research uses Python and the Biopython library, providing a modern and easily accessible approach. As a result, our work offers new insights into the chaotic nature of genetic sequences and presents valuable tools for mathematicians, biologists and computer scientists to better understand genetic data through fractal geometry

Author Biographies

A. A. Navish

Department of Mathematics, The Gandhigram Rural Institute (Deemed to be University), Dindigul, Tamil Nadu, India - 624 302.

L. Praveenkumar

Department of Mathematics, The Gandhigram Rural Institute (Deemed to be University), Dindigul, Tamil Nadu, India - 624 302.

G. Mahadevan

Department of Mathematics, The Gandhigram Rural Institute (Deemed to be University), Dindigul, Tamil Nadu, India - 624 302.

S. Riyasdeen

Department of Physics, Government Polytechnic College, Kottur, Theni, Tamil Nadu, India - 625 534.

S. Ganesan

Department of Mathematics, Government Polytechnic College, Kaniyalampatti, Karur, Tamil Nadu, India - 621 301.

References

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8. Navish, A. A., & Uthayakumar, R. (2023). A chaotic approach to recognize the characteristics of genetic codes of covid patients. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 11(3), 399-412.

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Published

2025-04-26

Issue

Vol. 28 No. 4 (2025): American Journal of Psychiatric Rehabilitation

Section

Articles

License

Copyright (c) 2025 American Journal of Psychiatric Rehabilitation

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License permitting all use, distribution, and reproduction in any medium, provided the work is properly cited.