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COVID-profiler: a webserver for the analysis of SARS-CoV-2 sequencing data.
Phelan, Jody; Deelder, Wouter; Ward, Daniel; Campino, Susana; Hibberd, Martin L; Clark, Taane G.
Afiliación
  • Phelan J; Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK. jody.phelan@lshtm.ac.uk.
  • Deelder W; Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
  • Ward D; Dalberg Advisors, 7 Rue de Chantepoulet, CH-1201, Geneva, Switzerland.
  • Campino S; Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
  • Hibberd ML; Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
  • Clark TG; Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
BMC Bioinformatics ; 23(1): 137, 2022 Apr 15.
Article en En | MEDLINE | ID: mdl-35428185
ABSTRACT

BACKGROUND:

SARS-CoV-2 virus sequencing has been applied to track the COVID-19 pandemic spread and assist the development of PCR-based diagnostics, serological assays, and vaccines. With sequencing becoming routine globally, bioinformatic tools are needed to assist in the robust processing of resulting genomic data.

RESULTS:

We developed a web-based bioinformatic pipeline ("COVID-Profiler") that inputs raw or assembled sequencing data, displays raw alignments for quality control, annotates mutations found and performs phylogenetic analysis. The pipeline software can be applied to other (re-) emerging pathogens.

CONCLUSIONS:

The webserver is available at http//genomics.lshtm.ac.uk/ . The source code is available at https//github.com/jodyphelan/covid-profiler .
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 Límite: Humans Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 Límite: Humans Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido