Performance and Accuracy of Four Open-Source Tools for <i>In Silico</i> Serotyping of <i>Salmonella</i> spp. Based on Whole-Genome Short-Read Sequencing Data.

Uelze, Laura; Borowiak, Maria; Deneke, Carlus; Szabó, István; Fischer, Jennie; Tausch, Simon H; Malorny, Burkhard

Performance and Accuracy of Four Open-Source Tools for In Silico Serotyping of Salmonella spp. Based on Whole-Genome Short-Read Sequencing Data.

Uelze, Laura; Borowiak, Maria; Deneke, Carlus; Szabó, István; Fischer, Jennie; Tausch, Simon H; Malorny, Burkhard.

Afiliação

Uelze L; German Federal Institute for Risk Assessment (BfR), Berlin, Germany.
Borowiak M; German Federal Institute for Risk Assessment (BfR), Berlin, Germany.
Deneke C; German Federal Institute for Risk Assessment (BfR), Berlin, Germany.
Szabó I; German Federal Institute for Risk Assessment (BfR), Berlin, Germany.
Fischer J; German Federal Institute for Risk Assessment (BfR), Berlin, Germany.
Tausch SH; German Federal Institute for Risk Assessment (BfR), Berlin, Germany.
Malorny B; German Federal Institute for Risk Assessment (BfR), Berlin, Germany burkhard.malorny@bfr.bund.de.

Appl Environ Microbiol ; 86(5)2020 02 18.

Article em En | MEDLINE | ID: mdl-31862714

Assuntos

Simulação por Computador; Genoma Bacteriano; Salmonella/genética; Sorotipagem/métodos; Alemanha; Sequenciamento de Nucleotídeos em Larga Escala; Estudos Retrospectivos; Sequenciamento Completo do Genoma

Palavras-chave

O antigen; Salmonella; serotyping; serovar prediction; whole-genome sequencing

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Salmonella / Simulação por Computador / Sorotipagem / Genoma Bacteriano Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies País como assunto: Europa Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google