用于研究基因组结构变异的计算工具
Xingyu Chen1,2, Siyu Wei2, Chen Sun2
1Dr. Neher's Biophysics Laboratory for Innovative Drug Discovery, State Kay Laboratory of Quality Research in Chinese Medicine & Faculty of Chinese Medicine, Macau University of Science and Technology, Taipa, China.
Omics : a journal of integrative biology
|February 5, 2025
概括
本综述列出了175种用于检测和分析人类DNA结构变异 (SV) 的计算工具. 它帮助研究人员选择最佳工具,以推进基因组研究和了解影响地球健康的疾病.
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.
- 计算生物学 计算生物学
背景情况:
- 结构变异 (SV) 是影响人类健康和疾病的DNA变异.
- 测序技术的进步为SVs提供了新的见解.
- 目前存在各种各样的SV检测和分析工具,这给研究人员带来了挑战.
研究的目的:
- 审查和编目结构变异分析的计算工具.
- 总结 SV 工具的特点,优势和局限性.
- 引导研究人员选择人类基因组学研究的最佳工具.
主要方法:
- 在过去二十年中开发的175种工具的系统审查.
- 基于功能 (检测,注释,可视化,下游分析) 的工具分类.
- 分析不同测序技术平台 (短读,长读) 的工具.
主要成果:
- 介绍了175个与SV相关的计算工具的全面目录.
- 总结了每个工具的特性,优势和局限性.
- 工具根据其应用和与各种测序技术的兼容性进行组织.
结论:
- 有效选择 SV 工具对于推进基因组研究至关重要.
- 这一审查有助于加速系统科学和行星健康创新.
- 该目录是研究人员研究人类基因组学结构变异的宝贵资源.
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