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Nowadays, genetic research is providing fresh perspectives and opportunities in various fields. In order to comprehend the behaviour of a specific organism completely, we need to grasp its genetic signature. In particular, it gives information about an individual’s susceptibility to disease, allowing us to manage their future health. Currently, we are struggling to get rid of the covid pandemic. Hence, more research on the covid’s genomic signature is needed in this context. With this aim, we have established our paperwork to look at the signatures of genomes using chaotic studies. For this purpose, we have first created alternative representations of the SARS-Cov-2 DNA sequences, including colour-coded images, indicator matrix, DNA walk, and chaotic game representation (). Then, we used fractal dimension, lacunarity and succolarity to examine their chaotic behaviour. Finally, we have offered a statistical overview of our findings and assessed the correlation between the methods using the correlation coefficient matrix.

A Chaotic Approach to Recognize the Characteristics of Genetic Codes of Covid Patients