从瘤/对照组对体复杂结构变异的精确表征,将长时间读取的测序数据与纳米粒子配对
Yuichi Shiraishi1, Junji Koya2, Kenichi Chiba1
1Division of Genome Analysis Platform Development, National Cancer Center Research Institute, Tokyo, Japan.
Nucleic acids research
|June 19, 2023
概括
我们开发了 nanomonsv 软件,用于检测癌症体质结构变异 (SVs),使用长读序列. 它精确地识别出已知的和新的SVs,改进了癌症基因组分析.
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.
- 癌症研究 癌症研究
背景情况:
- 身体结构变异 (SVs) 在癌症发展中至关重要.
- 准确检测SVs,特别是复杂的SVs,仍然是一个挑战.
- 长读测序为高分辨率的SV检测提供了潜在的潜力.
研究的目的:
- 介绍nanomonsv,一个用于检测体质SVs的新型软件.
- 使用瘤和匹配的控制长时间读取数据来评估nanomonsv的性能.
- 描述复杂的 SV,包括移动元素插入和重复的元素重新排列.
主要方法:
- 利用瘤/控制对对长读数测序数据.
- 实现了两个检测模块:Canonical SV和单断端 SV.
- 开发了一种工作流程,用于分类移动元件插入及其属性.
主要成果:
- 与现有方法相比, nanomonsv 实现了对正规 SV 的更高精度和回忆.
- 成功识别了复杂的SVs,包括那些在重复区域和LINE1/病毒介导的SVs.
- 描述了移动元件插入,详细说明了5'截断,内部反转和3'传导源位置.
结论:
- nanomonsv准确地检测广泛的体质SVs与单基分辨率.
- 该软件增强了对癌症复杂基因组重组的分析.
- 提供了对体质SVs的突变过程和功能后果的见解.
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