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Roary: rapid large-scale prokaryote pan genome analysis.
Page, Andrew J; Cummins, Carla A; Hunt, Martin; Wong, Vanessa K; Reuter, Sandra; Holden, Matthew T G; Fookes, Maria; Falush, Daniel; Keane, Jacqueline A; Parkhill, Julian.
Afiliación
  • Page AJ; Pathogen Genomics, The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge.
  • Cummins CA; Pathogen Genomics, The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge.
  • Hunt M; Pathogen Genomics, The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge.
  • Wong VK; Pathogen Genomics, The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, Department of Medicine, University of Cambridge, Cambridge.
  • Reuter S; Department of Medicine, University of Cambridge, Cambridge.
  • Holden MT; School of Medicine, University of St. Andrews, North Haugh, St Andrews and.
  • Fookes M; Pathogen Genomics, The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge.
  • Falush D; College of Medicine, Swansea University, Swansea, UK.
  • Keane JA; Pathogen Genomics, The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge.
  • Parkhill J; Pathogen Genomics, The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge.
Bioinformatics ; 31(22): 3691-3, 2015 Nov 15.
Article en En | MEDLINE | ID: mdl-26198102
ABSTRACT
UNLABELLED A typical prokaryote population sequencing study can now consist of hundreds or thousands of isolates. Interrogating these datasets can provide detailed insights into the genetic structure of prokaryotic genomes. We introduce Roary, a tool that rapidly builds large-scale pan genomes, identifying the core and accessory genes. Roary makes construction of the pan genome of thousands of prokaryote samples possible on a standard desktop without compromising on the accuracy of results. Using a single CPU Roary can produce a pan genome consisting of 1000 isolates in 4.5 hours using 13 GB of RAM, with further speedups possible using multiple processors. AVAILABILITY AND IMPLEMENTATION Roary is implemented in Perl and is freely available under an open source GPLv3 license from http//sanger-pathogens.github.io/Roary CONTACT roary@sanger.ac.uk SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Células Procariotas / Programas Informáticos / Genoma Bacteriano Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2015 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Células Procariotas / Programas Informáticos / Genoma Bacteriano Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2015 Tipo del documento: Article