Your browser doesn't support javascript.
loading
Viral Instant Mutation Viewer: A Tool to Speed Up the Identification and Analysis of New SARS-CoV-2 Emerging Variants and Beyond.
Wilde, Vincent; Canard, Bruno; Ferron, François.
  • Wilde V; Architecture et Fonction des Macromolécules Biologiques, CNRS-UMR 7257, Polytech Case 925, 13009 Marseille, France.
  • Canard B; Marseille and Laboratoire Architecture et Fonction des Macromolécules Biologiques (AFMB), Aix-Marseille Université, AFMB UMR 7257, 13288 Marseille, France.
  • Ferron F; Architecture et Fonction des Macromolécules Biologiques, CNRS-UMR 7257, Polytech Case 925, 13009 Marseille, France.
Viruses ; 15(8)2023 07 26.
Article en En | MEDLINE | ID: mdl-37631971
The appearance of genetic variants impacts vaccination efficiency and therapeutic options, generating a need to map and relate mutations observed in the proteome and the genome. We develop an user-friendly web service software (Viral Instant Mutation Viewer or VIMVer) which allows a direct identification of mutations in the genome and its counterpart in the viral proteome. Since its emergence in 2019, the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), responsible for the COVID-19 pandemic, has generated an overwhelming amount of data while becoming one of the most studied viruses of the Nidovirales order. We originally developed this tool during the COVID pandemic; thus, for any SARS-CoV-2 nucleotide sequence, the web service gives a fast identification, mapping, and display of new mutations simultaneously at the nucleotide and amino acid level in comparison to a reference sequence (Wuhan-1). Furthermore, the lineage or the relative position to the known lineage of the variant of interest is available on the link to Phylogenetic Assignment of Named Global Outbreak LINeages (PANGOLIN COVID-19). The workflow presented here is available online. The source code is released under public license and can be easily adapted for further development to other viruses.
Asunto(s)
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 Tipo de estudio: Diagnostic_studies Límite: Animals / Humans Idioma: En Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 Tipo de estudio: Diagnostic_studies Límite: Animals / Humans Idioma: En Año: 2023 Tipo del documento: Article