Identification of acquired antimicrobial resistance genes

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Identification of acquired antimicrobial resistance genes. / Zankari, Ea; Hasman, Henrik; Cosentino, Salvatore; Vestergaard, Martin; Rasmussen, Simon; Lund, Ole; Aarestrup, Frank Møller; Larsen, Mette Voldby.

In: Journal of Antimicrobial Chemotherapy, Vol. 67, No. 11, 2012, p. 2640-4.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Zankari, E, Hasman, H, Cosentino, S, Vestergaard, M, Rasmussen, S, Lund, O, Aarestrup, FM & Larsen, MV 2012, 'Identification of acquired antimicrobial resistance genes', Journal of Antimicrobial Chemotherapy, vol. 67, no. 11, pp. 2640-4. https://doi.org/10.1093/jac/dks261

APA

Zankari, E., Hasman, H., Cosentino, S., Vestergaard, M., Rasmussen, S., Lund, O., ... Larsen, M. V. (2012). Identification of acquired antimicrobial resistance genes. Journal of Antimicrobial Chemotherapy, 67(11), 2640-4. https://doi.org/10.1093/jac/dks261

Vancouver

Zankari E, Hasman H, Cosentino S, Vestergaard M, Rasmussen S, Lund O et al. Identification of acquired antimicrobial resistance genes. Journal of Antimicrobial Chemotherapy. 2012;67(11):2640-4. https://doi.org/10.1093/jac/dks261

Author

Zankari, Ea ; Hasman, Henrik ; Cosentino, Salvatore ; Vestergaard, Martin ; Rasmussen, Simon ; Lund, Ole ; Aarestrup, Frank Møller ; Larsen, Mette Voldby. / Identification of acquired antimicrobial resistance genes. In: Journal of Antimicrobial Chemotherapy. 2012 ; Vol. 67, No. 11. pp. 2640-4.

Bibtex

@article{298e51ed8687427ba8c5808273dee910,
title = "Identification of acquired antimicrobial resistance genes",
abstract = "Identification of antimicrobial resistance genes is important for understanding the underlying mechanisms and the epidemiology of antimicrobial resistance. As the costs of whole-genome sequencing (WGS) continue to decline, it becomes increasingly available in routine diagnostic laboratories and is anticipated to substitute traditional methods for resistance gene identification. Thus, the current challenge is to extract the relevant information from the large amount of generated data.",
keywords = "Bacteria, Bacterial Infections, Computational Biology, Drug Resistance, Bacterial, Humans, Internet, Faculty of Health and Medical Sciences, antibiotic resistance, Genotype, ResFinder, resistance gene identification",
author = "Ea Zankari and Henrik Hasman and Salvatore Cosentino and Martin Vestergaard and Simon Rasmussen and Ole Lund and Aarestrup, {Frank M{\o}ller} and Larsen, {Mette Voldby}",
year = "2012",
doi = "10.1093/jac/dks261",
language = "English",
volume = "67",
pages = "2640--4",
journal = "Journal of Antimicrobial Chemotherapy",
issn = "0305-7453",
publisher = "Oxford University Press",
number = "11",

}

RIS

TY - JOUR

T1 - Identification of acquired antimicrobial resistance genes

AU - Zankari, Ea

AU - Hasman, Henrik

AU - Cosentino, Salvatore

AU - Vestergaard, Martin

AU - Rasmussen, Simon

AU - Lund, Ole

AU - Aarestrup, Frank Møller

AU - Larsen, Mette Voldby

PY - 2012

Y1 - 2012

N2 - Identification of antimicrobial resistance genes is important for understanding the underlying mechanisms and the epidemiology of antimicrobial resistance. As the costs of whole-genome sequencing (WGS) continue to decline, it becomes increasingly available in routine diagnostic laboratories and is anticipated to substitute traditional methods for resistance gene identification. Thus, the current challenge is to extract the relevant information from the large amount of generated data.

AB - Identification of antimicrobial resistance genes is important for understanding the underlying mechanisms and the epidemiology of antimicrobial resistance. As the costs of whole-genome sequencing (WGS) continue to decline, it becomes increasingly available in routine diagnostic laboratories and is anticipated to substitute traditional methods for resistance gene identification. Thus, the current challenge is to extract the relevant information from the large amount of generated data.

KW - Bacteria

KW - Bacterial Infections

KW - Computational Biology

KW - Drug Resistance, Bacterial

KW - Humans

KW - Internet

KW - Faculty of Health and Medical Sciences

KW - antibiotic resistance

KW - Genotype

KW - ResFinder

KW - resistance gene identification

U2 - 10.1093/jac/dks261

DO - 10.1093/jac/dks261

M3 - Journal article

C2 - 22782487

VL - 67

SP - 2640

EP - 2644

JO - Journal of Antimicrobial Chemotherapy

JF - Journal of Antimicrobial Chemotherapy

SN - 0305-7453

IS - 11

ER -

ID: 46306487