Journal article

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

Jason C Kwong, Anders Goncalves da Silva, Kristin Dyet, Deborah A Williamson, Timothy P Stinear, Benjamin P Howden, Torsten Seemann



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 comparison..

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Awarded by National Health and Medical Research Council, Australia

Funding Acknowledgements

We wish to acknowledge the contributions of Helen Heffernan at the Institute of Environmental Science and Research, New Zealand, and Kerrie Stevens and the Molecular Diagnostics section staff at the Microbiological Diagnostic Unit Public Health Laboratory, Australia who assisted in providing NG-MAST data. This project was supported by the National Health and Medical Research Council, Australia with a postgraduate scholarship to JCK (GNT1074824), and fellowships to BPH (GNT1105905) and TPS (GNT1008549). Doherty Applied Microbial Genomics is funded by the Department of Microbiology and Immunology at The University of Melbourne. NG-MAST performed at the Institute of Environmental Science and Research was funded by the New Zealand Ministry of Health.