CovMT: an interactive SARS-CoV-2 mutation tracker, with a focus on critical variants.
Kamau, Allan A
Azhar, Esam I
KAUST DepartmentBiological and Environmental Sciences and Engineering (BESE) Division
Computational Bioscience Research Center (CBRC)
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Permanent link to this recordhttp://hdl.handle.net/10754/667376
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AbstractThe number of confirmed SARS-CoV-2 cases worldwide has now reached around 100 million, with 2·1 million reported deaths1 and more than 450 000 SARS-CoV-2 genomes already sequenced. It is vital to keep track of mutations in the genome of SARS-CoV-2, especially in the spike protein's receptor binding domain (RBD) region, which could potentially impact disease severity and treatment strategies.2, 3, 4 In the wake of a recent increase in cases with a more infective variant featuring an RBD mutation (N501Y, B.1.1.7) in the UK, countries worldwide are concerned about the spread of this or similar variants. Increasing sequencing efforts and user-friendly mutation tracking systems are needed for timely tracking of SARS-CoV-2 variants.
CitationAlam, I., Radovanovic, A., Incitti, R., Kamau, A. A., Alarawi, M., Azhar, E. I., & Gojobori, T. (2021). CovMT: an interactive SARS-CoV-2 mutation tracker, with a focus on critical variants. The Lancet Infectious Diseases. doi:10.1016/s1473-3099(21)00078-5
JournalThe Lancet. Infectious diseases
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