Cargando…
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...
Autores principales: | , , , , , , |
---|---|
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 |
_version_ | 1783280274215272448 |
---|---|
author | Hunt, Martin Mather, Alison E Sánchez-Busó, Leonor Page, Andrew J Parkhill, Julian Keane, Jacqueline A Harris, Simon R |
author_facet | Hunt, Martin Mather, Alison E Sánchez-Busó, Leonor Page, Andrew J Parkhill, Julian Keane, Jacqueline A Harris, Simon R |
author_sort | Hunt, Martin |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5695208 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Microbiology Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-56952082017-11-24 ARIBA: rapid antimicrobial resistance genotyping directly from sequencing reads Hunt, Martin Mather, Alison E Sánchez-Busó, Leonor Page, Andrew J Parkhill, Julian Keane, Jacqueline A Harris, Simon R Microb Genom Research Article 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. Microbiology Society 2017-09-04 /pmc/articles/PMC5695208/ /pubmed/29177089 http://dx.doi.org/10.1099/mgen.0.000131 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Hunt, Martin Mather, Alison E Sánchez-Busó, Leonor Page, Andrew J Parkhill, Julian Keane, Jacqueline A Harris, Simon R ARIBA: rapid antimicrobial resistance genotyping directly from sequencing reads |
title | ARIBA: rapid antimicrobial resistance genotyping directly from sequencing reads |
title_full | ARIBA: rapid antimicrobial resistance genotyping directly from sequencing reads |
title_fullStr | ARIBA: rapid antimicrobial resistance genotyping directly from sequencing reads |
title_full_unstemmed | ARIBA: rapid antimicrobial resistance genotyping directly from sequencing reads |
title_short | ARIBA: rapid antimicrobial resistance genotyping directly from sequencing reads |
title_sort | ariba: rapid antimicrobial resistance genotyping directly from sequencing reads |
topic | Research Article |
url | 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 |
work_keys_str_mv | AT huntmartin aribarapidantimicrobialresistancegenotypingdirectlyfromsequencingreads AT matheralisone aribarapidantimicrobialresistancegenotypingdirectlyfromsequencingreads AT sanchezbusoleonor aribarapidantimicrobialresistancegenotypingdirectlyfromsequencingreads AT pageandrewj aribarapidantimicrobialresistancegenotypingdirectlyfromsequencingreads AT parkhilljulian aribarapidantimicrobialresistancegenotypingdirectlyfromsequencingreads AT keanejacquelinea aribarapidantimicrobialresistancegenotypingdirectlyfromsequencingreads AT harrissimonr aribarapidantimicrobialresistancegenotypingdirectlyfromsequencingreads |