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Accelerating surveillance and research of antimicrobial resistance – an online repository for sharing of antimicrobial susceptibility data associated with whole-genome sequences

Antimicrobial resistance (AMR) is an emerging threat to modern medicine. Improved diagnostics and surveillance of resistant bacteria require the development of next-generation analysis tools and collaboration between international partners. Here, we present the ‘AMR Data Hub’, an online infrastructu...

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Autores principales: Matamoros, Sébastien, Hendriksen, Rene S., Pataki, Bálint Ármin, Pakseresht, Nima, Rossello, Marc, Silvester, Nicole, Amid, Clara, Aarestrup, Frank M., Koopmans, Marion, Cochrane, Guy, Csabai, Istvan, Lund, Ole, Schultsz, Constance
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Microbiology Society 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7371118/
https://www.ncbi.nlm.nih.gov/pubmed/32255760
http://dx.doi.org/10.1099/mgen.0.000342
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author Matamoros, Sébastien
Hendriksen, Rene S.
Pataki, Bálint Ármin
Pakseresht, Nima
Rossello, Marc
Silvester, Nicole
Amid, Clara
Aarestrup, Frank M.
Koopmans, Marion
Cochrane, Guy
Csabai, Istvan
Lund, Ole
Schultsz, Constance
author_facet Matamoros, Sébastien
Hendriksen, Rene S.
Pataki, Bálint Ármin
Pakseresht, Nima
Rossello, Marc
Silvester, Nicole
Amid, Clara
Aarestrup, Frank M.
Koopmans, Marion
Cochrane, Guy
Csabai, Istvan
Lund, Ole
Schultsz, Constance
author_sort Matamoros, Sébastien
collection PubMed
description Antimicrobial resistance (AMR) is an emerging threat to modern medicine. Improved diagnostics and surveillance of resistant bacteria require the development of next-generation analysis tools and collaboration between international partners. Here, we present the ‘AMR Data Hub’, an online infrastructure for storage and sharing of structured phenotypic AMR data linked to bacterial whole-genome sequences. Leveraging infrastructure built by the European COMPARE Consortium and structured around the European Nucleotide Archive (ENA), the AMR Data Hub already provides an extensive data collection of more than 2500 isolates with linked genome and AMR data. Representing these data in standardized formats, we provide tools for the validation and submission of new data and services supporting search, browse and retrieval. The current collection was created through a collaboration by several partners from the European COMPARE Consortium, demonstrating the capacities and utility of the AMR Data Hub and its associated tools. We anticipate growth of content and offer the hub as a basis for future research into methods to explore and predict AMR.
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spelling pubmed-73711182020-07-21 Accelerating surveillance and research of antimicrobial resistance – an online repository for sharing of antimicrobial susceptibility data associated with whole-genome sequences Matamoros, Sébastien Hendriksen, Rene S. Pataki, Bálint Ármin Pakseresht, Nima Rossello, Marc Silvester, Nicole Amid, Clara Aarestrup, Frank M. Koopmans, Marion Cochrane, Guy Csabai, Istvan Lund, Ole Schultsz, Constance Microb Genom Short Communication Antimicrobial resistance (AMR) is an emerging threat to modern medicine. Improved diagnostics and surveillance of resistant bacteria require the development of next-generation analysis tools and collaboration between international partners. Here, we present the ‘AMR Data Hub’, an online infrastructure for storage and sharing of structured phenotypic AMR data linked to bacterial whole-genome sequences. Leveraging infrastructure built by the European COMPARE Consortium and structured around the European Nucleotide Archive (ENA), the AMR Data Hub already provides an extensive data collection of more than 2500 isolates with linked genome and AMR data. Representing these data in standardized formats, we provide tools for the validation and submission of new data and services supporting search, browse and retrieval. The current collection was created through a collaboration by several partners from the European COMPARE Consortium, demonstrating the capacities and utility of the AMR Data Hub and its associated tools. We anticipate growth of content and offer the hub as a basis for future research into methods to explore and predict AMR. Microbiology Society 2020-04-07 /pmc/articles/PMC7371118/ /pubmed/32255760 http://dx.doi.org/10.1099/mgen.0.000342 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution NonCommercial License.
spellingShingle Short Communication
Matamoros, Sébastien
Hendriksen, Rene S.
Pataki, Bálint Ármin
Pakseresht, Nima
Rossello, Marc
Silvester, Nicole
Amid, Clara
Aarestrup, Frank M.
Koopmans, Marion
Cochrane, Guy
Csabai, Istvan
Lund, Ole
Schultsz, Constance
Accelerating surveillance and research of antimicrobial resistance – an online repository for sharing of antimicrobial susceptibility data associated with whole-genome sequences
title Accelerating surveillance and research of antimicrobial resistance – an online repository for sharing of antimicrobial susceptibility data associated with whole-genome sequences
title_full Accelerating surveillance and research of antimicrobial resistance – an online repository for sharing of antimicrobial susceptibility data associated with whole-genome sequences
title_fullStr Accelerating surveillance and research of antimicrobial resistance – an online repository for sharing of antimicrobial susceptibility data associated with whole-genome sequences
title_full_unstemmed Accelerating surveillance and research of antimicrobial resistance – an online repository for sharing of antimicrobial susceptibility data associated with whole-genome sequences
title_short Accelerating surveillance and research of antimicrobial resistance – an online repository for sharing of antimicrobial susceptibility data associated with whole-genome sequences
title_sort accelerating surveillance and research of antimicrobial resistance – an online repository for sharing of antimicrobial susceptibility data associated with whole-genome sequences
topic Short Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7371118/
https://www.ncbi.nlm.nih.gov/pubmed/32255760
http://dx.doi.org/10.1099/mgen.0.000342
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