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