<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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Bibliographische Detailangaben
1. Verfasser: Sophia David (4172902) (author)
Weitere Verfasser: 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)
Veröffentlicht: 2025
Schlagworte:
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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