2022
DOI: 10.1099/mgen.0.000748
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ResFinder – an open online resource for identification of antimicrobial resistance genes in next-generation sequencing data and prediction of phenotypes from genotypes

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 f… Show more

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Cited by 229 publications
(188 citation statements)
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“…The presence of virulence genes was searched by comparing all the coding DNA sequences (CDS) to the Virulence Factor DataBase [ 52 ] by BlastX (thresholds: 90% identity, 60% coverage). The presence of antibiotic resistance genes were searched using ResFinder [ 53 ] using the same thresholds.…”
Section: Methodsmentioning
confidence: 99%
“…The presence of virulence genes was searched by comparing all the coding DNA sequences (CDS) to the Virulence Factor DataBase [ 52 ] by BlastX (thresholds: 90% identity, 60% coverage). The presence of antibiotic resistance genes were searched using ResFinder [ 53 ] using the same thresholds.…”
Section: Methodsmentioning
confidence: 99%
“…A comprehensive analysis of all of the genes that may contribute to the isolate resistance was performed using CARD, by utilizing the Resistance Gene Identifier (RGI) function ( Table S1, Supplementary Materials ). In addition, Table S2 (Supplementary Materials) includes comprehensive information about the mobile genetic elements (MGEs), detected by the MobileElementFinder web tool [ 28 ] at the Center for Genomic Epidemiology [ 29 ].…”
Section: Resultsmentioning
confidence: 99%
“…The read quality was assessed using FastQC v0.11.8 and MultiQC v1.7, and the taxonomic sequence classification of the Enterobacterales isolates was determined using KRAKEN2 ( Table S1, Supplementary Materials ). The multilocus sequence type (MLST) profile was determined using the MLST 2.0 server at the Center for Genomic Epidemiology, DTU, Research group for Genomic Epidemiology-National Food Institute-Technical University of Denmark [ 29 ] and PubMLST ( Table 1 ) [ 49 ]. The antibiotic resistance genes were identified using the NCBI National Database of Antibiotic Resistant Organisms (NDARO) and the PATRIC v3.5.36 platform.…”
Section: Methodsmentioning
confidence: 99%
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“…Movile Cave's galleries (Chiciudean et al 2022). Detected MAGs were then analyzed for the presence of BGCs by antiSMASH (v. 6.1.1) (Blin et al 2021) whereas antibiotic resistance genes were predicted by ResFinder (v. 4.1) (Florensa et al 2022). The statistical analysis of BGCs data was performed by Past (v. 4.03).…”
mentioning
confidence: 99%