SegFinder:一种自动化工具,通过在多个测序样本中同时出现的完整RNA病毒基因组段的识别
Xue Liu1,2,3, Jianbin Kong1,2,3, Yongtao Shan1,2,3
1State Key Laboratory for Biocontrol, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, No. 66 Gongchang Road, Guangming District, Shenzhen, Guangdong 518107, China.
Briefings in bioinformatics
|July 24, 2025
概括
一个名为SegFinder的新工具通过共同发生来识别病毒基因组段,有助于发现新型RNA病毒. 这种生物信息学方法扩展了已知的细分RNA病毒圈.
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:
- 转基因组测序已经揭示了许多新型RNA病毒,但不完整的基因组,特别是对细分病毒,构成挑战.
- 目前的方法很难识别高度分歧的病毒细分,并准确地将它们分为物种.
研究的目的:
- 开发一个新的生物信息学工具,SegFinder,以根据共发生模式识别病毒基因组段.
- 增强细分RNA病毒的特征,并扩大已知的病毒圈.
主要方法:
- SegFinder的开发目的是通过分析它们在细分病毒中的共同共发生和相似丰度来识别病毒基因组段.
- 该工具使用蚊子转录组数据进行了验证,以确定可靠的参数值.
- SegFinder被应用于来自各种元基因组测序项目的858个图书馆.
主要成果:
- SegFinder成功地识别了测试数据集中的所有细分和各种样本中的106个独特的病毒基因组细分.
- 发现了53个新型细分,其中30个没有与已知的病毒具有可识别的序列同质性,由保存的终端序列支持.
- 该工具在以前未被细分的病毒中确定了细分的基因组结构,扩大了已知的细分RNA病毒家族和序列.
结论:
- 在大规模测序时代,SegFinder是分析细分RNA病毒的宝贵工具.
- 该工具有助于发现新型病毒细分并扩大我们对病毒多样性的理解.
- SegFinder提高了从元基因组数据组装和分类细分病毒基因组的能力.
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