ARIBA: rapid antimicrobial resistance genotyping directly from sequencing reads

By Martin Hunt, Alison E. Mather, Leonor Sánchez-Busó, Andrew J. Page, Julian Parkhill, Jacqueline A. Keane, Simon R. Harris. bioRxiv, 2017

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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 customisable 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. ARIBA is available at https://github.com/sanger-pathogens/ariba.

Subfields: Clinical Biochemistry, Molecular Biology, Molecular Medicine

View Paper: https://www.semanticscholar.org/paper/972cea3d408b32d3474cb1db373b42b4c8b32f75

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