Computational Analysis of SARS-CoV-2 Genome Representing Intraspecific Variability

Abstract

Abstract: The US National Institutes of Health, it is the successor to SARS-CoV-1, which was the virus that causedSARS outbreak in 2002-2004. SARS-CoV-2 is a virus of the species severe acute respiratory syndrome–related coronavirus (SARSCoV-2) Genomic analysis of 566SARS CoV2 virus populations to identify mutations as substitutions, deletions, insertions,and single nucleotide polymorphisms(SNPs).Clustal,ClustalOmega and MAFFT in order to align the Indian 566 SARS-CoV-2 sequences. SARS-CoV-2 is an enveloped virus consisting of a positive sense, single-stranded RNA genome of approximately 30 kb. There will be 3 possible reading frames in each direction of the RNA. So total 6 possible reading frame or (6 horizontal bars) would be there for every RNA sequence. +1, +2, +3 and -1, -2 and -3 ( in the reverse strand) are the 6 possible reading frames. The graphical abstract of the human coronavirus NL 63 genome of BLAST is represented by a red bar, which shows the most similar sequences. Bit score is anotherbiostatistical indicator used in addition to the e-value in a blast output and where comparing the sequence similarities search i.e. pairwise multiple sequence alignment shows a way of arranging protein or DNA sequence to identify region or similarity in clustal omega