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.
Original language | English |
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Journal | Journal of Antimicrobial Chemotherapy |
Volume | 67 |
Issue number | 11 |
Pages (from-to) | 2640-4 |
Number of pages | 5 |
ISSN | 0305-7453 |
DOIs | |
Publication status | Published - 2012 |
Externally published | Yes |
Keywords
- Bacteria
- Bacterial Infections
- Computational Biology
- Drug Resistance, Bacterial
- Humans
- Internet
- Faculty of Health and Medical Sciences