VirJenDB:所有病毒的FAIR (元数据) 和生物信息平台
Shahram Saghaei1, Malte Siemers2, Kilian L Ossetek1
1RNA Bioinformatics and High-Throughput Analysis, Faculty of Computer Science and Mathematics, Friedrich Schiller University Jena, Jena 07743, Germany.
Nucleic acids research
|December 17, 2025
概括
VirJenDB集中了来自多个来源的病毒序列数据,通过社区驱动的策划和一个用户友好的平台来改进数据的重复使用. 这个数据库增强了研究人员对病毒基因组和元数据的访问权限.
科学领域:
- 病毒学 病毒学
- 生物信息学是一种生物信息学.
- 基因组学就是基因组学.
背景情况:
- 高通量测序产生了大量的生物数据,特别是病毒序列.
- 现有的数据存储库需要广泛的策划和质量控制,由于数据量和存储库的多样性,对数据重复使用提出了挑战.
- 病毒元数据修复的复杂性阻碍了有效的数据管理和可访问性.
研究的目的:
- 开发VirJenDB,这是一个用户友好的平台,用于对病毒序列数据进行版本化,社区驱动的策划和本体学开发.
- 整合和标准化来自不同来源的病毒元数据,促进数据的可访问性和重用性.
- 创建新的病毒数据子集,例如病毒操作分类学单位 (vOTU),用于高级下游分析.
主要方法:
- 摄入了来自16个不同的来源的病毒序列和相关元数据,覆盖了大约200个元数据领域.
- 为多达85个元数据字段实施了社区驱动的策划过程,将策划数据与1540万个病毒序列联系起来.
- 产生了0.91万个病毒操作分类单位 (vOTU) 序列的新集合,保留了原始序列用于变异分析.
主要成果:
- VirJenDB集成了1540万个病毒序列,其中88%感染了真核生物,剩下的感染了原核生物.
- 在元数据策划方面取得了重大进展,有多达85个字段正在进行改进,并与序列数据联系在一起.
- 除了原始序列之外,还提供了0.91万个序列的新vOTU数据集,增强了比较基因组学和变异研究.
结论:
- VirJenDB提供了一个集中的,精心策划的资源,以克服病毒数据可访问性和重复使用方面的挑战.
- 该平台支持社区驱动的治愈和本体学发展,促进病毒学领域的合作研究.
- VirJenDB旨在通过实现菌体和真核病毒的元分析,webtool集成和元数据模式扩展来弥合研究社区.
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