在EMPRES-i中链接禽流感流行病学和基因组数据,以获取流行病情报 (2012-2021)
Nejat Arınık1,2,3, Roberto Interdonato4,3, Mathieu Roche4,3
1CRIL UMR 8188, Université d'Artois, Lens, F-62307, France.
Data in brief
|March 24, 2025
概括
这项研究通过将基因组序列与动物健康监测数据相结合,引入了一种新的禽流感 (AI) 数据集. 这种丰富的数据集有助于理解AI病毒的演变和传播,以改善全球流行病监测.
科学领域:
- 兽医病毒学 兽医病毒学
- 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:
- 禽流感对动物健康构成重大威胁,影响商业家禽和野生鸟类.
- 现有的基因组测序数据库缺乏与全球公共卫生监测系统的整合.
- EMPRES-i系统是WOAH和粮农组织对动物健康监测的一个关键平台.
研究的目的:
- 通过将基因组序列与监测数据联系起来,创建一个丰富的禽流感数据集.
- 开发和评估数据链接策略,以整合不同的生物数据集.
- 证明新数据集对流行病学分析和网络推断的有用性.
主要方法:
- 细菌和病毒生物信息学资源中心 (BV-BRC) 基因组序列和EMPRES-i禽流感事件 (2012-2021) 之间的自动数据链接.
- 数据预处理和规范化技术,以确保高质量的链接.
- 开发数据链接策略和处理缺少信息的方法.
主要成果:
- 通过将BV-BRC序列数据与EMPRES-i事件数据相结合,生成了一个新的,丰富的禽流感数据集.
- 数据链接策略的定量评估证明了它们的有效性.
- 该数据集有助于下游分析,包括扩散网络推断.
结论:
- 综合数据集为研究禽流感的演变和传播动态提供了宝贵的资源.
- 开发的数据链接方法可应用于其他传染病监测工作.
- 这项工作支持加强对禽流感的全球流行病监测.
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