Resolution of a meningococcal disease outbreak from whole-genome sequence data with rapid Web-based analysis methods.

Journal article

The increase in the capacity and reduction in cost of whole-genome sequencing methods present the imminent prospect of such data being used routinely in real time for investigations of bacterial disease outbreaks. For this to be realized, however, it is necessary that generic, portable, and robust analysis frameworks be available, which can be readily interpreted and used in real time by microbiologists, clinicians, and public health epidemiologists. We have achieved this with a set of analys...

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Authors: Jolley, K; Hill, D; Bratcher, H; Harrison, O; Feavers, I

• Publication status: Published
• Journal: Journal of clinical microbiology
• Volume: 50
• Issue: 9
• Pages: 3046-3053
• Publication date: 2012-09-01
• DOI: 10.1128/jcm.01312-12
• EISSN: 1098-660X
• ISSN: 0095-1137
• Language: English
• Keywords: Internet; Genome, Bacterial; Computational Biology; Disease Outbreaks; Molecular Typing; Meningococcal Infections; Neisseria meningitidis; Humans; Great Britain; Molecular Epidemiology