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Large-scale comparative analysis of microbial pan-genomes using PanOCT.
Inman, Jason M; Sutton, Granger G; Beck, Erin; Brinkac, Lauren M; Clarke, Thomas H; Fouts, Derrick E.
Afiliación
  • Inman JM; Department of Informatics, J. Craig Venter Institute, Rockville, MD, USA.
  • Sutton GG; Department of Informatics, J. Craig Venter Institute, Rockville, MD, USA.
  • Beck E; Department of Informatics, J. Craig Venter Institute, Rockville, MD, USA.
  • Brinkac LM; Department of Informatics, J. Craig Venter Institute, Rockville, MD, USA.
  • Clarke TH; Department of Informatics, J. Craig Venter Institute, Rockville, MD, USA.
  • Fouts DE; Department of Informatics, J. Craig Venter Institute, Rockville, MD, USA.
Bioinformatics ; 35(6): 1049-1050, 2019 03 15.
Article en En | MEDLINE | ID: mdl-30165579
ABSTRACT

SUMMARY:

The JCVI pan-genome pipeline is a collection of programs to run PanOCT and tools that support and extend the capabilities of PanOCT. PanOCT (pan-genome ortholog clustering tool) is a tool for pan-genome analysis of closely related prokaryotic species or strains. The JCVI Pan-Genome Pipeline wrapper invokes command-line utilities that prepare input genomes, invoke third-party tools such as NCBI Blast+, run PanOCT, generate a consensus pan-genome, annotate features of the pan-genome, detect sets of genes of interest such as antimicrobial resistance (AMR) genes and generate figures, tables and html pages to visualize the results. The pipeline can run in a hierarchical mode, lowering the RAM and compute resources used. AVAILABILITY AND IMPLEMENTATION Source code, demo data, and detailed documentation are freely available at https//github.com/JCVenterInstitute/PanGenomePipeline.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Genoma Bacteriano / Genoma Microbiano Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Genoma Bacteriano / Genoma Microbiano Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos