Cluster analysis of coronavirus sequences using computational sequence descriptors: With applications to SARS, MERS and SARS-CoV-2 (CoVID-19).

BACKGROUND: Study of 573 genome sequences belonging to SARS, MERS and SARS-CoV-2 (CoVID-19) viruses. OBJECTIVE: To compare the virus sequences, which originate from different places around the world. METHODS: Alignment free methods for representation of sequences and chemometrical methods for analyzing of clusters. RESULTS: Majority of genome sequences are clustered with respect on virus type, but some of them are outliers. CONCLUSION: We indicate 71 sequences, which tend to belong to more than cluster.