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- W3113095018 endingPage "100844" @default.
- W3113095018 startingPage "100844" @default.
- W3113095018 abstract "The currently emerging pathogen SARS-CoV-2 has produced the global pandemic crisis by causing COVID-19. The unique and novel genetic makeup of SARS-CoV-2 has created hurdles in biological research, due to which the potential drug/vaccine candidates have not yet been discovered by the scientific community. Meanwhile, the advantages of bioinformatics in viral research had created a milestone since last few decades. The exploitation of bioinformatics tools and techniques has successfully interpreted this viral genomics architecture. Some major in silico studies involving next-generation sequencing, genome-wide association studies, computer-aided drug design etc. have been effectively applied in COVID-19 research methodologies and discovered novel information on SARS-CoV-2 in several ways. Nowadays the implementation of in silico studies in COVID-19 research has not only sequenced the SARS-CoV-2 genome but also properly analyzed the sequencing errors, evolutionary relationship, genetic variations, putative drug candidates against SARS-CoV-2 viral genes etc. within a very short time period. These would be very needful towards further research on COVID-19 pandemic and essential for vaccine development against SARS-CoV-2 which will save public health." @default.
- W3113095018 created "2020-12-21" @default.
- W3113095018 creator A5030137048 @default.
- W3113095018 creator A5053432777 @default.
- W3113095018 creator A5070806016 @default.
- W3113095018 creator A5087341311 @default.
- W3113095018 date "2021-02-01" @default.
- W3113095018 modified "2023-10-16" @default.
- W3113095018 title "Essential interpretations of bioinformatics in COVID-19 pandemic" @default.
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