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RCandy: an R package for visualizing homologous recombinations in bacterial genomes.
Chaguza, Chrispin; Tonkin-Hill, Gerry; Lo, Stephanie W; Hadfield, James; Croucher, Nicholas J; Harris, Simon R; Bentley, Stephen D.
Afiliación
  • Chaguza C; Parasites and Microbes Programme, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
  • Tonkin-Hill G; Parasites and Microbes Programme, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
  • Lo SW; Parasites and Microbes Programme, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
  • Hadfield J; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Croucher NJ; Department of Infectious Disease Epidemiology, Imperial College London, London, UK.
  • Harris SR; Microbiotica Ltd, Biodata Innovation Centre, Wellcome Genome Campus, Hinxton, UK.
  • Bentley SD; Parasites and Microbes Programme, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
Bioinformatics ; 38(5): 1450-1451, 2022 02 07.
Article en En | MEDLINE | ID: mdl-34864895
ABSTRACT

SUMMARY:

Homologous recombination is an important evolutionary process in bacteria and other prokaryotes, which increases genomic sequence diversity and can facilitate adaptation. Several methods and tools have been developed to detect genomic regions recently affected by recombination. Exploration and visualization of such recombination events can reveal valuable biological insights, but it remains challenging. Here, we present RCandy, a platform-independent R package for rapid, simple and flexible visualization of recombination events in bacterial genomes. AVAILABILITY AND IMPLEMENTATION RCandy is an R package freely available for use under the MIT license. It is platform-independent and has been tested on Windows, Linux and MacOSX. The source code comes together with a detailed vignette available on GitHub at https//github.com/ChrispinChaguza/RCandy. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Genómica Idioma: En Revista: 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: Programas Informáticos / Genómica Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido