ResFinder – an open online resource for identification of antimicrobial resistance genes in next-generation sequencing data and prediction of phenotypes from genotypes
AFAlfred Ferrer FlorensaRSRolf Sommer KaasPTPhilip T. L. C. ClausenDADerya Aytan-AktugFMFrank M. Aarestrup
Technical University of Denmark
Indexed incrossrefdoajpubmed
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…
Citation impact
625
total citations
- FWCI
- 40.49
- Percentile
- 100%
- References
- 41
Citations per year
Authors
5Topics & keywords
Topics
Keywords
- Identification (biology)
- Genotype
- Biology
- Genetics
- Gene
- Phenotype
- DNA sequencing
- Computational biology
No related works found for this paper.