mapPat:追踪病原体在空间和时间上的演变
Erika Ferrandi1,2, Graziano Pesole1,3, Matteo Chiara2
1Institute of Biomembranes, Bioenergetics and Molecular Biotechnologies, Consiglio Nazionale delle Ricerche, Bari 70126, Italy.
Bioinformatics advances
|February 19, 2025
概括
mapPat是一个新的R Shiny应用程序,可以交互可视化病原体基因组数据. 该工具有助于监测病原体演变,变种传播,并在传染病爆发期间为公共卫生决策提供信息.
科学领域:
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
- 流行病学 流行病学
背景情况:
- COVID-19大流行强调了对强有力的基因组监测的迫切需要.
- 有效的基因组监测需要计算方法来管理和解释大型数据集.
- 监测病原体的演变和传播对于公共卫生至关重要.
研究的目的:
- 介绍mapPat,一个R Shiny应用程序,用于交互式基因组数据可视化.
- 为动态监测病原体演变提供一个用户友好的仪表板.
- 用先进的生物信息学工具增强基因组监测策略.
主要方法:
- 开发了一个名为mapPat.Pat的R Shiny应用程序.
- 为基因组数据实施交互式可视化功能.
- 整合地理映射和数据可视化用于时间分析.
主要成果:
- mapPat使病原体基因组数据在空间和时间的可视化.
- 该应用程序有助于对变种,血统和突变进行动态监测.
- 提供了细粒度的病原体进化和循环模式的视图.
结论:
- mapPat是对病原体的基因组监测的一个有价值的工具.
- 该应用程序有助于了解病原体的演变,并为公共卫生响应提供信息.
- mapPat为传染病监测生物信息学方法目录做出了贡献.
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