A global resource for genomic predictions of antimicrobial resistance and surveillance of Salmonella Typhi at pathogenwatch
Whole genome sequencing data are increasingly becoming routinely available but generating actionable insights is challenging. Here, the authors describe Pathogenwatch, a web tool for genomic surveillance of S. Typhi, and demonstrate its use for antimicrobial resistance assignment and strain risk ass...
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Nature Portfolio
2021
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oai:doaj.org-article:8067dd1bb7af437ca15c3973913ab4f92021-12-02T15:52:52ZA global resource for genomic predictions of antimicrobial resistance and surveillance of Salmonella Typhi at pathogenwatch10.1038/s41467-021-23091-22041-1723https://doaj.org/article/8067dd1bb7af437ca15c3973913ab4f92021-05-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-23091-2https://doaj.org/toc/2041-1723Whole genome sequencing data are increasingly becoming routinely available but generating actionable insights is challenging. Here, the authors describe Pathogenwatch, a web tool for genomic surveillance of S. Typhi, and demonstrate its use for antimicrobial resistance assignment and strain risk assessment.Silvia ArgimónCorin A. YeatsRichard J. GoaterKhalil AbudahabBenjamin TaylorAnthony UnderwoodLeonor Sánchez-BusóVanessa K. WongZoe A. DysonSatheesh NairSe Eun ParkFlorian MarksAndrew J. PageJacqueline A. KeaneStephen BakerKathryn E. HoltGordon DouganDavid M. AanensenNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-12 (2021) |
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EN |
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Science Q |
spellingShingle |
Science Q Silvia Argimón Corin A. Yeats Richard J. Goater Khalil Abudahab Benjamin Taylor Anthony Underwood Leonor Sánchez-Busó Vanessa K. Wong Zoe A. Dyson Satheesh Nair Se Eun Park Florian Marks Andrew J. Page Jacqueline A. Keane Stephen Baker Kathryn E. Holt Gordon Dougan David M. Aanensen A global resource for genomic predictions of antimicrobial resistance and surveillance of Salmonella Typhi at pathogenwatch |
description |
Whole genome sequencing data are increasingly becoming routinely available but generating actionable insights is challenging. Here, the authors describe Pathogenwatch, a web tool for genomic surveillance of S. Typhi, and demonstrate its use for antimicrobial resistance assignment and strain risk assessment. |
format |
article |
author |
Silvia Argimón Corin A. Yeats Richard J. Goater Khalil Abudahab Benjamin Taylor Anthony Underwood Leonor Sánchez-Busó Vanessa K. Wong Zoe A. Dyson Satheesh Nair Se Eun Park Florian Marks Andrew J. Page Jacqueline A. Keane Stephen Baker Kathryn E. Holt Gordon Dougan David M. Aanensen |
author_facet |
Silvia Argimón Corin A. Yeats Richard J. Goater Khalil Abudahab Benjamin Taylor Anthony Underwood Leonor Sánchez-Busó Vanessa K. Wong Zoe A. Dyson Satheesh Nair Se Eun Park Florian Marks Andrew J. Page Jacqueline A. Keane Stephen Baker Kathryn E. Holt Gordon Dougan David M. Aanensen |
author_sort |
Silvia Argimón |
title |
A global resource for genomic predictions of antimicrobial resistance and surveillance of Salmonella Typhi at pathogenwatch |
title_short |
A global resource for genomic predictions of antimicrobial resistance and surveillance of Salmonella Typhi at pathogenwatch |
title_full |
A global resource for genomic predictions of antimicrobial resistance and surveillance of Salmonella Typhi at pathogenwatch |
title_fullStr |
A global resource for genomic predictions of antimicrobial resistance and surveillance of Salmonella Typhi at pathogenwatch |
title_full_unstemmed |
A global resource for genomic predictions of antimicrobial resistance and surveillance of Salmonella Typhi at pathogenwatch |
title_sort |
global resource for genomic predictions of antimicrobial resistance and surveillance of salmonella typhi at pathogenwatch |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/8067dd1bb7af437ca15c3973913ab4f9 |
work_keys_str_mv |
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