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dc.contributor.authorPage, AJ
dc.contributor.authorAlikhan, N-F
dc.contributor.authorCarleton, HA
dc.contributor.authorSeemann, T
dc.contributor.authorKeane, JA
dc.contributor.authorKatz, LS
dc.date.accessioned2020-12-21T03:33:22Z
dc.date.available2020-12-21T03:33:22Z
dc.date.issued2017-08-01
dc.identifier.citationPage, A. J., Alikhan, N. -F., Carleton, H. A., Seemann, T., Keane, J. A. & Katz, L. S. (2017). Comparison of classical multi-locus sequence typing software for next-generation sequencing data. MICROBIAL GENOMICS, 3 (8), https://doi.org/10.1099/mgen.0.000124.
dc.identifier.issn2057-5858
dc.identifier.urihttp://hdl.handle.net/11343/257255
dc.description.abstractMulti-locus sequence typing (MLST) is a widely used method for categorizing bacteria. Increasingly, MLST is being performed using next-generation sequencing (NGS) data by reference laboratories and for clinical diagnostics. Many software applications have been developed to calculate sequence types from NGS data; however, there has been no comprehensive review to date on these methods. We have compared eight of these applications against real and simulated data, and present results on: (1) the accuracy of each method against traditional typing methods, (2) the performance on real outbreak datasets, (3) the impact of contamination and varying depth of coverage, and (4) the computational resource requirements.
dc.languageEnglish
dc.publisherMICROBIOLOGY SOC
dc.titleComparison of classical multi-locus sequence typing software for next-generation sequencing data
dc.typeJournal Article
dc.identifier.doi10.1099/mgen.0.000124
melbourne.affiliation.departmentMicrobiology and Immunology
melbourne.source.titleMicrobial Genomics
melbourne.source.volume3
melbourne.source.issue8
dc.rights.licenseCC BY
melbourne.elementsid1255813
melbourne.contributor.authorSeemann, Torsten
dc.identifier.eissn2057-5858
melbourne.accessrightsOpen Access


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