<i>K. pneumoniae</i> genomes represented in amr.watch as of 31 March 2025 from the USA (A) and China (B) filtered by the most frequent ST from each country (ST258 and ST11, respectively).

<i>K. pneumoniae</i> genomes represented in amr.watch as of 31 March 2025 from the USA (A) and China (B) filtered by the most frequent ST from each country (ST258 and ST11, respectively).

<p>The “Variants overview” panel shows the twenty most frequent variants (STs) in each country, while the “AMR mechanism count over time” panel shows the number of genomes from the selected variant (ST258/ST11) by year and the number with (blue) and without (green) any carbapenem resistance me...

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Dettagli Bibliografici
Autore principale:	Sophia David (4172902) (author)
Altri autori:	Julio Diaz Caballero (22676621) (author), Natacha Couto (6590267) (author), Khalil Abudahab (10669917) (author), Nabil-Fareed Alikhan (5066198) (author), Corin Yeats (1565) (author), Anthony Underwood (23932) (author), Alison Molloy (22676624) (author), Diana Connor (22676627) (author), Heather M. Shane (22676630) (author), Philip M. Ashton (4109527) (author), Hajo Grundmann (51089) (author), Matthew T.G. Holden (22676633) (author), Edward J. Feil (7295681) (author), Sonia B. Sia (22676636) (author), Pilar Donado-Godoy (3709714) (author), Ravikumar K. Lingegowda (22676639) (author), Iruka N. Okeke (8088743) (author), Silvia Argimón (282286) (author), David M. Aanensen (7538114) (author)
Pubblicazione:	2025
Soggetti:	Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified whole genome sequencing performed using community highly variable representation 31 march 2025 providing comparable data div >< p 700 pathogen genomes shared wgs data quality wgs data public wgs data platform included data integrating wgs data global genomics data watch platform incorporates watch enables users watch </ p watch </ genomic data wgs continues interactive platform information platform global efforts enables interrogation watch (< pathogen ’ pathogen populations visualises high vaccine development timely insights support research standard methods specific curation sampling information part due ongoing basis national levels growing volumes geotemporal information geotemporal distribution geographic regions genomic surveillance different species broad adoption bespoke species antimicrobial resistance
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