Different genomic representations of novel pathogens base on signal processing algorithms: COVID-19 case study

Abstract

Coronaviruses are a type of frequent RNA virus. They are responsible for digestive and respiratory infections in animal and human genomes. A coronavirus renamed COVID-19 appeared and spread in the world which makes it declared in March 2020 a pandemic by the World Health Organization. SARS-CoV-2 genome, responsible for COVID-19 virus, has a size equal to 29,903 nucleotides, and its genetic makeup is composed of 11 functional open reading frames (ORFs). This paper proposes comparison algorithms to find SARS-Cov2 origin using digital genomic signatures. As a result, the five closest genomes related to SARS-CoV-2 are RaTG13, Pangolin-cov-PCoV_GX-P2V, Pangolin CoV MP789, bat-SL-CoVZC45 and bat-SL-CoVZXC21.