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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.
Microbial Genomics ( IF 3.9 ) Pub Date : 2020-05-01 , DOI: 10.1099/mgen.0.000342
Sébastien Matamoros 1 , Rene S Hendriksen 2 , Bálint Ármin Pataki 3, 4 , Nima Pakseresht 5 , Marc Rossello 5 , Nicole Silvester 5 , Clara Amid 5 , Frank M Aarestrup 2 , Marion Koopmans 6 , Guy Cochrane 5 , Istvan Csabai 3, 4 , Ole Lund 2 , Constance Schultsz 1, 7 , The Compare Ml-Amr Group 8
Affiliation  

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.

中文翻译:

加速对抗菌素耐药性的监视和研究-在线共享与全基因组序列相关的抗菌素敏感性数据的在线存储库。

抗菌素耐药性(AMR)是对现代医学的新兴威胁。改进的耐药菌诊断和监测要求开发下一代分析工具,并需要国际伙伴之间的合作。在这里,我们介绍了“ AMR数据中心”,这是一个在线基础结构,用于存储和共享与细菌全基因组序列相关的结构化表型AMR数据。利用由欧洲COMPARE财团建立并围绕欧洲核苷酸档案库(ENA)构建的基础架构,AMR数据中心已经提供了超过2500种分离菌株的广泛数据收集,这些分离物具有链接的基因组和AMR数据。我们以标准化格式表示这些数据,我们提供了用于验证和提交新数据的工具以及支持搜索,浏览和检索的服务。当前集合是由欧洲COMPARE联盟的几个合作伙伴合作创建的,展示了AMR数据中心及其相关工具的功能和实用性。我们预计内容的增长,并提供该中心作为未来研究探索和预测AMR方法的基础。
更新日期:2020-05-01
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