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NGMASTER: in silico multi-antigen sequence typing for Neisseria gonorrhoeae
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 fo...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Microbiology Society
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5320595/ https://www.ncbi.nlm.nih.gov/pubmed/28348871 http://dx.doi.org/10.1099/mgen.0.000076 |
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author | Kwong, Jason C. Gonçalves da Silva, Anders Dyet, Kristin Williamson, Deborah A. Stinear, Timothy P. Howden, Benjamin P. Seemann, Torsten |
author_facet | Kwong, Jason C. Gonçalves da Silva, Anders Dyet, Kristin Williamson, Deborah A. Stinear, Timothy P. Howden, Benjamin P. Seemann, Torsten |
author_sort | Kwong, Jason C. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5320595 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Microbiology Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-53205952017-03-27 NGMASTER: in silico multi-antigen sequence typing for Neisseria gonorrhoeae Kwong, Jason C. Gonçalves da Silva, Anders Dyet, Kristin Williamson, Deborah A. Stinear, Timothy P. Howden, Benjamin P. Seemann, Torsten Microb Genom Short Paper 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. Microbiology Society 2016-08-25 /pmc/articles/PMC5320595/ /pubmed/28348871 http://dx.doi.org/10.1099/mgen.0.000076 Text en © 2016 The Authors http://creativecommons.org/licenses/by/4.0/http://creativecommons.org/licenses/by/4.0/ This is an open access article under the terms of the Creative Commons Attribution 4.04.0 International License (http://creativecommons.org/licenses/by/4.0/http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Short Paper Kwong, Jason C. Gonçalves da Silva, Anders Dyet, Kristin Williamson, Deborah A. Stinear, Timothy P. Howden, Benjamin P. Seemann, Torsten NGMASTER: in silico multi-antigen sequence typing for Neisseria gonorrhoeae |
title | NGMASTER: in silico multi-antigen sequence typing for Neisseria gonorrhoeae |
title_full | NGMASTER: in silico multi-antigen sequence typing for Neisseria gonorrhoeae |
title_fullStr | NGMASTER: in silico multi-antigen sequence typing for Neisseria gonorrhoeae |
title_full_unstemmed | NGMASTER: in silico multi-antigen sequence typing for Neisseria gonorrhoeae |
title_short | NGMASTER: in silico multi-antigen sequence typing for Neisseria gonorrhoeae |
title_sort | ngmaster: in silico multi-antigen sequence typing for neisseria gonorrhoeae |
topic | Short Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5320595/ https://www.ncbi.nlm.nih.gov/pubmed/28348871 http://dx.doi.org/10.1099/mgen.0.000076 |
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