SARS-CoV-2, a novel Betacoronavirus, has attracted global attention because of its extremely high infection rate and large number of human deaths . It possesses a positive-sense, single-stranded RNA of ~ 30 kb nucleotides as its genetic material . It is responsible for COVID-19 which has been declared a pandemic by WHO . Having reported for the first time in Wuhan, China, the virus infected over 21.48 million people and caused over 0.77 million deaths till mid-august 2020 . SARS-CoV-2 contains the spike protein site that gets activated by an enzyme furin which is found in the lung, liver, and small intestine of humans . It shows the potentiality of virus for attacking multiple organs and their failures . Due to the absence of vaccines, the cure is restricted to supportive care including repurposed drugs . In silico approaches may offer an alternative screening to optimize hits to lead stages . It can provide important related to drug resistance, their lineages and evolution . This approach may also help to find an effective vaccine against COVID-19 . This review focuses on the in silico aspects of genomics, proteomics, pathogenesis, phylogenetic analysis and viral receptor binding analysis in Betacoronavirus.