PT - JOURNAL ARTICLE AU - Jason C Kwong AU - Anders Gonçalves da Silva AU - Kristin Dyet AU - Deborah A Williamson AU - Timothy P Stinear AU - Benjamin P Howden AU - Torsten Seemann TI - <em>NGMASTER: in Silico</em> Multi-Antigen Sequence Typing for <em>Neisseria gonorrhoeae</em> AID - 10.1101/057760 DP - 2016 Jan 01 TA - bioRxiv PG - 057760 4099 - http://biorxiv.org/content/early/2016/06/08/057760.short 4100 - http://biorxiv.org/content/early/2016/06/08/057760.full AB - 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 epidemiologic 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.