Rapid antibiotic-resistance predictions from genome sequence data for Staphylococcus aureus and Mycobacterium tuberculosis

The rise of antibiotic-resistant bacteria has led to an urgent need for rapid detection of drug resistance in clinical samples, and improvements in global surveillance. Here we show how de Bruijn graph representation of bacterial diversity can be used to identify species and resistance profiles of c...

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Veröffentlicht in:	Nature communications Jg. 6; H. 1; S. 10063
Hauptverfasser:	Bradley, Phelim, Gordon, N. Claire, Walker, Timothy M., Dunn, Laura, Heys, Simon, Huang, Bill, Earle, Sarah, Pankhurst, Louise J., Anson, Luke, de Cesare, Mariateresa, Piazza, Paolo, Votintseva, Antonina A., Golubchik, Tanya, Wilson, Daniel J., Wyllie, David H., Diel, Roland, Niemann, Stefan, Feuerriegel, Silke, Kohl, Thomas A., Ismail, Nazir, Omar, Shaheed V., Smith, E. Grace, Buck, David, McVean, Gil, Walker, A. Sarah, Peto, Tim E. A., Crook, Derrick W., Iqbal, Zamin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 21.12.2015 Nature Publishing Group
Schlagworte:	631/114/2785 631/208/325/1506 631/208/514 631/326/41/1969/2038 Anti-Bacterial Agents - pharmacology Antibiotic resistance Antibiotics Bacteria Bacterial infections Biomedical research Correspondence Drug resistance Drug Resistance, Multiple, Bacterial Genome, Bacterial Genomes Genotype & phenotype Graph representations Humanities and Social Sciences Humans Methods Microbial Sensitivity Tests multidisciplinary Mutation Mycobacterium tuberculosis - drug effects Mycobacterium tuberculosis - genetics Public health Research centers Science Science (multidisciplinary) Staphylococcal Infections - microbiology Staphylococcus aureus - drug effects Staphylococcus aureus - genetics Surveillance Tuberculosis Tuberculosis - microbiology United Kingdom > UK South Africa Germany
ISSN:	2041-1723, 2041-1723
Online-Zugang:	Volltext
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