NGMASTER: in silico multi-antigen sequence typing for Neisseria gonorrhoeae

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    Author
    Kwong, JC; da Silva, AG; Dyet, K; Williamson, DA; Stinear, TP; Howden, BP; Seemann, T
    Date
    2016-08-01
    Source Title
    Microbial Genomics
    Publisher
    MICROBIOLOGY SOC
    University of Melbourne Author/s
    Kwong, Jason; Stinear, Timothy; Howden, Benjamin; Goncalves Da Silva, Anders; Williamson, Deborah; Seemann, Torsten
    Affiliation
    Microbiology and Immunology
    Metadata
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    Document Type
    Journal Article
    Citations
    Kwong, J. C., da Silva, A. G., Dyet, K., Williamson, D. A., Stinear, T. P., Howden, B. P. & Seemann, T. (2016). NGMASTER: in silico multi-antigen sequence typing for Neisseria gonorrhoeae. MICROBIAL GENOMICS, 2 (8), https://doi.org/10.1099/mgen.0.000076.
    Access Status
    Open Access
    URI
    http://hdl.handle.net/11343/255687
    DOI
    10.1099/mgen.0.000076
    Abstract
    Whole-genome sequencing (WGS) provides the highest resolution analysis for comparison of bacterial isolates in public health microbiology. However, although increasingly being used routinely for some pathogens such as Listeria monocytogenes and Salmonella enterica, the use of WGS is still limited for other organisms, such as Neisseria gonorrhoeae. Multi-antigen sequence typing (NG-MAST) is the most widely performed typing method for epidemiological surveillance of gonorrhoea. Here, we present NGMASTER, a command-line software tool for performing in silico NG-MAST on assembled genome data. NGMASTER rapidly and accurately determined the NG-MAST of 630 assembled genomes, facilitating comparisons between WGS and previously published gonorrhoea epidemiological studies. The source code and user documentation are available at https://github.com/MDU-PHL/ngmaster.

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