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From its first emergence in Wuhan, China in December, 2019 the COVID-19pandemic has caused unprecedented health crisis throughout the world. The novelcoronavirus disease is caused by severe acute respiratory syndrome coronavirus2 (SARS-CoV-2) which belongs to the coronaviridae family. In this paper, acomparative genomic analysis of eight coronaviruses namely Human coronavirusOC43 (HCoV-OC43), Human coronavirus HKU1 (HCoV-HKU1), Human coronavirus 229E(HCoV-229E), Human coronavirus NL63 (HCoV-NL63), Severe acute respiratorysyndrome coronavirus (SARS-CoV), Middle East respiratory syndrome-relatedcoronavirus (MERS-CoV), Severe acute respiratory syndrome coronavirus 2(SARS-CoV-2) and Bat coronavirus RaTG13 has been carried out using Chaos GameRepresentation and Fisher-Shannon Complexity (CGR-FSC) measure. Chaos GameRepresentation (CGR) is a unique alignment-free method to visualize onedimensional DNA sequence in a two-dimensional fractal-like pattern. Thetwo-dimensional CGR pattern is then quantified by Fisher-Shannon Complexity(FSC) measure. The CGR-FSC can effectively identify the viruses uniquely andtheir similarity/dissimilarity can be revealed in the Fisher-ShannonInformation Plane (FSIP).

A Comparative Genomic Analysis of Coronavirus Families Using Chaos Game Representation and Fisher-Shannon Complexity