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

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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Bibliographic Details
Main Authors: Bradley, P, Gordon, N, Walker, T, Dunn, L, Heys, S, Huang, B, Earle, S, Pankhurst, L, Anson, L, De Cesare, M, Piazza, P, Votintseva, A, Golubchik, T, Wilson, D, Wyllie, D, Diel, R, Niemann, S, Feuerriegel, S, Kohl, T, Ismail, N, Omar, S, Smith, E, Buck, D, McVean, G, Walker, A, Peto, T, Crook, D, Iqbal, Z
Format: Journal article
Published: Nature Publishing Group 2015

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