Evidence map›Paper›PMID 35072601›Full record

ArticleMicrobial genomics2022

ResFinder - an open online resource for identification of antimicrobial resistance genes in next-generation sequencing data and prediction of phenotypes from genotypes.

Alfred Ferrer Florensa, Rolf Sommer Kaas, Philip Thomas Lanken Conradsen Clausen, Derya Aytan-Aktug, Frank M Aarestrup

Abstract read
In one paragraph

Article in Microbial genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 484 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
484citing papers in PubMed, 1 pooled it
–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

484 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. A probioticGut microbes · 2026
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  14. First Detection of theAntibiotics (Basel, Switzerland) · 2026
    Article
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  18. UropathogenicAntibiotics (Basel, Switzerland) · 2026
    Review
  19. Article
  20. Article

424 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

5 authors.

Alfred Ferrer FlorensaNational Food Institute, Technical University of Denmark, DK-2800 kgs. Lyngby, Denmark.
Rolf Sommer KaasNational Food Institute, Technical University of Denmark, DK-2800 kgs. Lyngby, Denmark.
Philip Thomas Lanken Conradsen ClausenNational Food Institute, Technical University of Denmark, DK-2800 kgs. Lyngby, Denmark.
Derya Aytan-AktugNational Food Institute, Technical University of Denmark, DK-2800 kgs. Lyngby, Denmark.
Frank M Aarestrup

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance (AMR) is one of the most important health threats globally. The ability to accurately identify resistant bacterial isolates and the individual antimicrobial resistance genes (ARGs) is essential for understanding the evolution and emergence of AMR and to provide appropriate treatment. The rapid developments in next-generation sequencing technologies have made this technology available to researchers and microbiologists at routine laboratories around the world. However, tools available for those with limited experience with bioinformatics are lacking, especially to enable researchers and microbiologists in low- and middle-income countries (LMICs) to perform their own studies. The CGE-tools (Center for Genomic Epidemiology) including ResFinder (https://cge.cbs.dtu.dk/services/ResFinder/) was developed to provide freely available easy to use online bioinformatic tools allowing inexperienced researchers and microbiologists to perform simple bioinformatic analyses. The main purpose was and is to provide these solutions for people involved in frontline diagnosis especially in LMICs. Since its original publication in 2012, ResFinder has undergone a number of improvements including improvement of the code and databases, inclusion of point mutations for selected bacterial species and predictions of phenotypes also for selected species. As of 28 September 2021, 820 803 analyses have been performed using ResFinder from 61 776 IP-addresses in 171 countries. ResFinder clearly fulfills a need for several people around the globe and we hope to be able to continue to provide this service free of charge in the future. We also hope and expect to provide further improvements including phenotypic predictions for additional bacterial species.

Indexed as

BacteriaBacterial ProteinsComputational BiologyDatabases, GeneticDrug Resistance, BacterialGenome, BacterialHigh-Throughput Nucleotide SequencingInternetMicrobial Sensitivity TestsMutationPhenotypeSequence Analysis, DNASoftwareBacterial Proteinsantimicrobial resistance genesbioinformaticsonline tool

Identifiers

PMID35072601
PMCPMC8914360

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.