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解决病毒基因组学数据管理和分析挑战:瑞士艾滋病毒队列研究病毒下一代测序数据库

Marius Zeeb^1,2, Paul Frischknecht¹, Suraj Balakrishna^1,2

¹Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.

PLOS digital health

|April 21, 2025

概括

瑞士艾滋病毒队列研究病毒NGS数据库 (SHCND) 管理下一代测序 (NGS) 数据用于艾滋病毒研究. 该数据库支持对瑞士艾滋病毒病原,治疗和分子流行病学的研究.

科学领域:

病毒学病毒学
基因组学就是基因组学.
生物信息学是一种生物信息学.

背景情况:

病毒基因组测序对于理解HIV,包括耐药性突变和传播动态至关重要.
下一代测序 (NGS) 已成为HIV基因组测序的首选方法,提供了对宿主内部多样性的全面分析.

研究的目的:

建立一个中央数据库,用于管理和分析大量的下一代HIV测序 (NGS) 数据.
为应对HIV NGS数据的数据管理,存储,分析和可重复性方面的挑战.

主要方法:

开发和实施瑞士艾滋病毒队列研究病毒NGS数据库 (SHCND).
整合了来自瑞士艾滋病毒队列研究 (SHCS) 和苏黎世初级艾滋病毒感染队列研究 (ZPHI) 的数据.
自2018年以来,从5,178名艾滋病毒感染者 (PWH) 获得NGS序列的积累.

主要成果:

SHCND成功地管理了大量的原始和处理的NGS数据,存储和计算资源.
该数据库支持复杂的生物信息分析,并确保可重现性.
SHCND已经从5,178个独特的PWH中积累了序列,为众多研究项目做出了贡献.

结论:

SHCND是瑞士艾滋病毒基因组学研究的重要资源.
该数据库有助于研究艾滋病毒的发病,治疗,耐药性和分子流行病学.
使用NGS数据,SHCND增强了使用NGS数据进行先进艾滋病毒研究的能力.

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