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

21 Dec 2015

Abstract excerpt

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 clinical isolates. We implement this method for Staphylococcus aureus and Mycobacterium tuberculosis in a software...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 26686880
DOI: 10.1038/ncomms10063

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