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ARIBA: rapid antimicrobial resistance genotyping directly from sequencing reads

Antimicrobial resistance (AMR) is one of the major threats to human and animal health worldwide, yet few high-throughput tools exist to analyse and predict the resistance of a bacterial isolate from sequencing data. Here we present a new tool, ARIBA, that identifies AMR-associated genes and single n...

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Detalles Bibliográficos
Autores principales: Hunt, Martin, Mather, Alison E, Sánchez-Busó, Leonor, Page, Andrew J, Parkhill, Julian, Keane, Jacqueline A, Harris, Simon R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Microbiology Society 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5695208/
https://www.ncbi.nlm.nih.gov/pubmed/29177089
http://dx.doi.org/10.1099/mgen.0.000131
Descripción
Sumario:Antimicrobial resistance (AMR) is one of the major threats to human and animal health worldwide, yet few high-throughput tools exist to analyse and predict the resistance of a bacterial isolate from sequencing data. Here we present a new tool, ARIBA, that identifies AMR-associated genes and single nucleotide polymorphisms directly from short reads, and generates detailed and customizable output. The accuracy and advantages of ARIBA over other tools are demonstrated on three datasets from Gram-positive and Gram-negative bacteria, with ARIBA outperforming existing methods.