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10.1016/j.mgene.2020.100844

http://scihub22266oqcxt.onion/10.1016/j.mgene.2020.100844
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33349792!7744275!33349792
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suck abstract from ncbi


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pmid33349792      Meta+Gene 2021 ; 27 (ä): 100844
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  • Essential interpretations of bioinformatics in COVID-19 pandemic #MMPMID33349792
  • Ray M; Sable MN; Sarkar S; Hallur V
  • Meta Gene 2021[Feb]; 27 (ä): 100844 PMID33349792show ga
  • 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.
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