The DOI matches its Crossref record; 163 of the 163 references it cites were found in a registry or an index.
Sequencing-based methods and resources to study antimicrobial resistance
Open accessAbstract
Antimicrobial resistance extracts high morbidity, mortality and economic costs yearly by rendering bacteria immune to antibiotics. Identifying and understanding antimicrobial resistance are imperative for clinical practice to treat resistant infections and for public health efforts to limit the spread of resistance. Technologies such as next-generation sequencing are expanding our abilities to detect and study antimicrobial resistance. This Review provides a detailed overview of antimicrobial resistance identification and characterization methods, from traditional antimicrobial susceptibility testing to recent deep-learning methods. We focus on sequencing-based resistance discovery and discuss tools and databases used in antimicrobial resistance studies. Next-generation sequencing has improved the identification and characterization of antimicrobial resistance. Focusing on sequence-based discovery of antibiotic resistance genes, this Review discusses computational strategies and resources for resistance gene identification in genomic and metagenomic samples, including recent deep-learning approaches.
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Cited by
CARD 2020: Antibiotic Resistome Surveillance with the Comprehensive Antibiotic Resistance Database
Alcock, B. P., Raphenya, A. R., Lau, T. T. Y., Tsang, K. K., Bouchard, M., Edalatmand, A., Huynh, W., Nguyen, A.-L. V., Cheng, A. A., Liu, S., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz935 · Cited by 3,202
Surveillance of antimicrobial resistance in low- and middle-income countries: a scattered picture
Iskandar, K., Molinier, L., Hallit, S., Sartelli, M., Hardcastle, T. C., Haque, M., Lugova, H., Dhingra, S., Sharma, P., Islam, S., et al. (2021) · Antimicrobial Resistance & Infection Control · doi:10.1186/s13756-021-00931-w · Cited by 479
Review and Comparison of Antimicrobial Resistance Gene Databases
Papp, M., & Solymosi, N. (2022) · Antibiotics · doi:10.3390/antibiotics11030339 · Cited by 96
Guitor, A. K., Yousuf, E. I., Raphenya, A. R., Hutton, E. K., Morrison, K. M., McArthur, A. G., Wright, G. D., & Stearns, J. C. (2022) · Microbiome · doi:10.1186/s40168-022-01327-7 · Cited by 44
Mutalik, V. K., & Arkin, A. P. (2022) · iScience · doi:10.1016/j.isci.2022.104121 · Cited by 32
Metadata
- Authors
- Boolchandani, M., D’Souza, A. W., & Dantas, G.
- Venue
- Nature Reviews Genetics
- Published
- 2019-03-18
- Volume
- 20
- Issue
- 6
- Pages
- 356-370
- ISSN
- 1471-0056 (ISSN-L)
- 1471-0064
- OpenAlex
- W2921872415
- Cited by
- 522
- References
- 163
- FWCI
- 7.02
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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