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Phylotyper: in silico predictor of gene subtypes.
Whiteside, Matthew D; Gannon, Victor P J; Laing, Chad R.
Afiliação
  • Whiteside MD; National Microbiology Laboratory, Public Health Agency of Canada, Lethbridge, AB T1J 3Z4, Canada.
  • Gannon VPJ; National Microbiology Laboratory, Public Health Agency of Canada, Lethbridge, AB T1J 3Z4, Canada.
  • Laing CR; National Microbiology Laboratory, Public Health Agency of Canada, Lethbridge, AB T1J 3Z4, Canada.
Bioinformatics ; 33(22): 3638-3641, 2017 Nov 15.
Article em En | MEDLINE | ID: mdl-29036291
ABSTRACT

SUMMARY:

Whole genome sequencing (WGS) is being adopted in public health for improved surveillance and outbreak analysis. In public health, subtyping has been used to infer phenotypes and distinguish bacterial strain groups. In silico tools that predict subtypes from sequences data are needed to transition historical data to WGS-based protocols. Phylotyper is a novel solution for in silico subtype prediction from gene sequences. Designed for incorporation into WGS pipelines, it is a general prediction tool that can be applied to different subtype schemes. Phylotyper uses phylogeny to model the evolution of the subtype and infer subtypes for unannotated sequences. The phylogenic framework in Phylotyper improves accuracy over approaches based solely on sequence similarity and provides useful contextual feedback. AVAILABILITY AND IMPLEMENTATION Phylotyper is a python and R package. It is available from https//github.com/superphy/insilico-subtyping. CONTACT matthew.whiteside@phac-aspc.gc.ca. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Filogenia / Bactérias / Infecções Bacterianas / Simulação por Computador / Surtos de Doenças / Sequenciamento Completo do Genoma Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Canadá

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Filogenia / Bactérias / Infecções Bacterianas / Simulação por Computador / Surtos de Doenças / Sequenciamento Completo do Genoma Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Canadá