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10.2217/cer-2021-0208

http://scihub22266oqcxt.onion/10.2217/cer-2021-0208
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suck abstract from ncbi


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pmid35014556      J+Comp+Eff+Res 2022 ; 11 (3): 157-167
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  • Variant analysis of SARS-CoV-2 strains with phylogenetic analysis and the Coronavirus Antiviral and Resistance Database #MMPMID35014556
  • Sayan M; Arikan A; Isbilen M
  • J Comp Eff Res 2022[Feb]; 11 (3): 157-167 PMID35014556show ga
  • Aims: This study determined SARS-CoV-2 variations by phylogenetic and virtual phenotyping analyses. Materials & methods: Strains isolated from 143 COVID-19 cases in Turkey in April 2021 were assessed. Illumina NexteraXT library preparation kits were processed for next-generation ]sequencing. Phylogenetic (neighbor-joining method) and virtual phenotyping analyses (Coronavirus Antiviral and Resistance Database [CoV-RDB] by Stanford University) were used for variant analysis. Results: B.1.1.7-1/2 (n = 103, 72%), B.1.351 (n = 5, 3%) and B.1.525 (n = 1, 1%) were identified among 109 SARS-CoV-2 variations by phylogenetic analysis and B.1.1.7 (n = 95, 66%), B.1.351 (n = 5, 4%), B.1.617 (n = 4, 3%), B.1.525 (n = 2, 1.4%), B.1.526-1 (n = 1, 0.6%) and missense mutations (n = 15, 10%) were reported by CoV-RDB. The two methods were 85% compatible and B.1.1.7 (alpha) was the most frequent SARS-CoV-2 variation in Turkey in April 2021. Conclusion: The Stanford CoV-RDB analysis method appears useful for SARS-CoV-2 lineage surveillance.
  • |*COVID-19[MESH]
  • |*SARS-CoV-2[MESH]
  • |Antiviral Agents/therapeutic use[MESH]
  • |Humans[MESH]


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