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AMRnet:一个数据可视化平台,可以交互探索病原体变体和抗菌素耐药性的数据.

Louise T Cerdeira1, Zoe A Dyson1,2, Vandana Sharma1

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概括

来自全基因组测序的抗菌素耐药性 (AMR) 数据很难获得. 该AMRnet平台使研究人员和政策制定者能够轻松获得这些关键的病原体数据,以打击AMR威胁.

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科学领域:

  • 基因组学和生物信息学
  • 公共卫生 公共卫生
  • 传染病监测 传染病监测

背景情况:

  • 抗菌素耐药性 (AMR) 是一个重大的全球健康威胁.
  • 全基因组测序 (WGS) 对于病原体表征和AMR监测至关重要.
  • 有大量的WGS数据存在,但对非专家和决策者来说,AMR信息往往是无法访问的.

研究的目的:

  • 开发AMRnet平台,提供可访问的基因组衍生AMR数据.
  • 提供综合的国家年度流行率估计和交互式可视化.
  • 支持研究人员和政策制定者提供可操作的AMR见解.

主要方法:

  • 利用来自公共基因组数据库的数据.
  • 计算汇总的国家每年流行率估计.
  • 开发一个互动的基于Web的仪表板,通过API查询数据.
  • 精选生物的精选数据以减轻测序偏差.

主要成果:

  • AMRnet提供了从公共基因组档案中获取的可访问,可视化的AMR数据.
  • 用户可以探索病原体变异,耐药性机制以及地理/时间分布.
  • 有动态生成的报告和数据下载可用.

结论:

  • AMRnet提高了公共基因组AMR数据的可访问性和实用性.
  • 该平台旨在促进更广泛的测序计划和数据共享.
  • 改进的数据访问使研究人员和决策者在抗药性耐药性监测和控制方面有能力.