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ARIBA: rapid antimicrobial resistance genotyping directly from sequencing reads

Abstract:

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...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1099/mgen.0.000131

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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
NDM
Sub department:
BDI
Role:
Author
Publisher:
Microbiology Society Publisher's website
Journal:
Microbial Genomics Journal website
Volume:
3
Issue:
10
Article number:
e000131
Publication date:
2017-09-04
Acceptance date:
2017-08-01
DOI:
ISSN:
2057-5858
Pmid:
29177089
Language:
English
Keywords:
Pubs id:
pubs:1020258
UUID:
uuid:8fcd9d9a-ef0c-40d8-8d2f-f428eaef995f
Local pid:
pubs:1020258
Source identifiers:
1020258
Deposit date:
2019-07-03

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