Comparison of classical multi-locus sequence typing software for next-generation sequencing data
Web of Science
AuthorPage, AJ; Alikhan, N-F; Carleton, HA; Seemann, T; Keane, JA; Katz, LS
Source TitleMicrobial Genomics
University of Melbourne Author/sSeemann, Torsten
AffiliationMicrobiology and Immunology
Document TypeJournal Article
CitationsPage, 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.
Access StatusOpen Access
Multi-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.
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