Global population structure and genotyping framework for genomic surveillance of the major dysentery pathogen, Shigella sonnei
Whole genome sequencing is increasingly being adopted for Shigella sonnei outbreak investigation and surveillance, but there is no global classification standard. Here, the authors develop and validate a genomic framework implemented using open-source software, and demonstrate its application using...
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Nature Portfolio
2021
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oai:doaj.org-article:791a5cd8e43b46bfb08ed6884c5a32692021-12-02T15:36:11ZGlobal population structure and genotyping framework for genomic surveillance of the major dysentery pathogen, Shigella sonnei10.1038/s41467-021-22700-42041-1723https://doaj.org/article/791a5cd8e43b46bfb08ed6884c5a32692021-05-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-22700-4https://doaj.org/toc/2041-1723Whole genome sequencing is increasingly being adopted for Shigella sonnei outbreak investigation and surveillance, but there is no global classification standard. Here, the authors develop and validate a genomic framework implemented using open-source software, and demonstrate its application using surveillance data.Jane HawkeyKalani ParanagamaKate S. BakerRebecca J. BengtssonFrançois-Xavier WeillNicholas R. ThomsonStephen BakerLouise CerdeiraZamin IqbalMartin HuntDanielle J. IngleTimothy J. DallmanClaire JenkinsDeborah A. WilliamsonKathryn E. HoltNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-12 (2021) |
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Science Q |
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Science Q Jane Hawkey Kalani Paranagama Kate S. Baker Rebecca J. Bengtsson François-Xavier Weill Nicholas R. Thomson Stephen Baker Louise Cerdeira Zamin Iqbal Martin Hunt Danielle J. Ingle Timothy J. Dallman Claire Jenkins Deborah A. Williamson Kathryn E. Holt Global population structure and genotyping framework for genomic surveillance of the major dysentery pathogen, Shigella sonnei |
description |
Whole genome sequencing is increasingly being adopted for Shigella sonnei outbreak investigation and surveillance, but there is no global classification standard. Here, the authors develop and validate a genomic framework implemented using open-source software, and demonstrate its application using surveillance data. |
format |
article |
author |
Jane Hawkey Kalani Paranagama Kate S. Baker Rebecca J. Bengtsson François-Xavier Weill Nicholas R. Thomson Stephen Baker Louise Cerdeira Zamin Iqbal Martin Hunt Danielle J. Ingle Timothy J. Dallman Claire Jenkins Deborah A. Williamson Kathryn E. Holt |
author_facet |
Jane Hawkey Kalani Paranagama Kate S. Baker Rebecca J. Bengtsson François-Xavier Weill Nicholas R. Thomson Stephen Baker Louise Cerdeira Zamin Iqbal Martin Hunt Danielle J. Ingle Timothy J. Dallman Claire Jenkins Deborah A. Williamson Kathryn E. Holt |
author_sort |
Jane Hawkey |
title |
Global population structure and genotyping framework for genomic surveillance of the major dysentery pathogen, Shigella sonnei |
title_short |
Global population structure and genotyping framework for genomic surveillance of the major dysentery pathogen, Shigella sonnei |
title_full |
Global population structure and genotyping framework for genomic surveillance of the major dysentery pathogen, Shigella sonnei |
title_fullStr |
Global population structure and genotyping framework for genomic surveillance of the major dysentery pathogen, Shigella sonnei |
title_full_unstemmed |
Global population structure and genotyping framework for genomic surveillance of the major dysentery pathogen, Shigella sonnei |
title_sort |
global population structure and genotyping framework for genomic surveillance of the major dysentery pathogen, shigella sonnei |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/791a5cd8e43b46bfb08ed6884c5a3269 |
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