Sign in
GenomicsbioRxiv

NGMASTER: in silico Multi-Antigen Sequence Typing for Neisseria gonorrhoeae

Jason C Kwong, Anders Gonçalves da SilvaiD, Kristin Dyet, Deborah A Williamson, Timothy P Stinear, Benjamin P Howden, Torsten SeemanniD

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 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.

PDFDOICode

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISSánchez-Bus '24Kivata '26Sánchez-Bus '20Morin '26McKeand '26Unitt '25
81% semantic matchBioinformatics
Leonor Sánchez-Busó, Andrea Sánchez-Serrano, Daniel Golparian+1 more·Microbial Genomics·Jan 30, 2024· 2 citations