Evidence map›Paper›PMID 29177089›Full record

ArticleMicrobial genomics2017

ARIBA: rapid antimicrobial resistance genotyping directly from sequencing reads.

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

Abstract read
In one paragraph

Article in Microbial genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 448 papers.

0numbers the graph read from it
0cells of the map it votes in
448citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

448 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Intraspecific diversity ofMicrobiology spectrum · 2026
    Article
  8. Sudden re-emergence ofNew microbes and new infections · 2026
    Article
  9. Escherichia coli ST131 Drives Carbapenem Use for E. coli Bloodstream Infections.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Observational
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

388 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Martin Hunt1​Infection Genomics, Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK.
Alison E Mather1​Infection Genomics, Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK.
Leonor Sánchez-Busó1​Infection Genomics, Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK.
Andrew J Page1​Infection Genomics, Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK.
Julian Parkhill1​Infection Genomics, Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK.
Jacqueline A Keane1​Infection Genomics, Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK.
Simon R Harris1​Infection Genomics, Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/M014088/1Medical Research Council MR/L015080/1Wellcome TrustWellcome Trust 206194
6 · The paper itself

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-positive and Gram-negative bacteria, with ARIBA outperforming existing methods.

Indexed as

GenomicsSoftwareAnimalsDrug Resistance, MicrobialEnterococcus faeciumHumansInfectionsNeisseria gonorrhoeaeShigella sonneiantimicrobial resistancebacteriagenotypingsequence typingwhole genome sequencing

Identifiers

PMID29177089
PMCPMC5695208

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.