Research Article
Volume 10 Issue 5 - 2021
A Review on Genomic Analysis of Sars-Cov-2 (Covid-19) by Using Bioinformatics Tools
Siddavarapu Harika1, Hema Sekhar Reddy Rajula2*, PB Ramesh Babu1 and Vassilios Fanos2
1Departent of Genetic Engineering, Bharath Institute of Higher Education and Research, India
2Neonatal Intensive Care Unit, Department of Surgical Sciences, AOU and University of Cagliari, Cagliari, Italy
*Corresponding Author: Hema Sekhar Reddy Rajula, PhD Scholar, Marie Curie Fellowship, Department of Surgical Sciences, University of Cagliari, Monserrato, Cagliari, Italy.
Received: February 16, 2021; Published: April 06, 2021


The genome of the virus is smaller when compared to prokaryotes and eukaryotes. Exactly a year back from now in December 2019, a tiny virus similar to the influenza virus arose in the people of Wuhan in China. Later the virus is identified as Coronavirus disease (COVID-19) and based on the characteristics, it was renamed Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It is an enveloped virus whose genome is positive-sense RNA and belongs to the family coronaviridae of the order Nidivirales and has four genera (alpha, beta, gamma, and delta). Now, our present novel SARS-CoV-2 has beta genera and based on the genomic similarity exhibited in the sequences by the virus the researchers state that the virus origin is probably from the bats. The spike (s) present on the surface of the virus leads protein to viral fusion to the cell membrane and leads to the infection. The common clinical test for the detection of the virus is the Reverse transcriptase-polymerase chain reaction test (RT-PCR) test and to detect the IgG, IgM antibodies by (serology) test. In this article, for the sake of Insilco analysis, we describe the different bioinformatics tools that are available to analyze the genome of the SARS-CoV-2. CoVDB is the database that solely deals with the genomic sequences of Coronavirus. Different types of online bioinformatics tools exclusively contain the genomic sequences of Coronavirus. These databases are used to know the phylogenetic relationships among the genomic sequences that are extracted from different COVID patients.


Keywords: Severe Acute Respiratory Syndrome 2; Pandemic; Reverse Transcriptase-Polymerase Chain Reaction Test; CoVDB Databank; Bioinformatics Tools; Phylogenetic Relationships


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Citation: Hema Sekhar Reddy Rajula., et al. “A Review on Genomic Analysis of Sars-Cov-2 (Covid-19) by Using Bioinformatics Tools”. EC Pulmonology and Respiratory Medicine 10.5 (2021): 01-10.

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