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Rare Event Detection Using Error-corrected DNA and RNA Sequencing

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无对齐的独特分子标识符集群抑制了测序错误,以准确检测低频DNA变体

Fei Yu¹, Haojie Xiao¹, Dongyang Song¹

¹Chongqing Key Laboratory of Big Data for Bio Intelligence, Chongqing University of Posts and Telecommunications, No. 2 Chongwen Road, Nan'an District, Chongqing 400065, China.

Briefings in bioinformatics

|September 22, 2025

概括

AFUMIC是一种使用独特分子标识符 (UMI) 的新框架,通过减少测序错误,显著提高了DNA变异检测准确度. 这使得对诊断和研究至关重要的低频变异的高度敏感的识别成为可能.

科学领域:

基因组学就是基因组学.
分子生物学分子生物学
生物信息学是一种生物信息学.

背景情况:

精确检测低频DNA变异 (<1%) 对生物和临床应用至关重要.
下一代测序 (NGS) 的错误率限制了变体检测灵敏度.
独特的分子标识符 (UMIs) 减少了错误,但面临着碰撞和PCR/测序文物等挑战.

研究的目的:

引入AFUMIC,用于UMI集群和共识序列生成的无对齐框架.
为了解决现有的基于UMI的错误纠正方法的局限性.
为了使超敏感变体在非常低的等位基因频率上被检测出来.

主要方法:

开发了一个无调整的UMI集群框架 (AFUMIC).
实施了耐碰撞的UMI分组.
利用共识质量评分 (CQS) 引导的战略来生成高保真度的共识序列.

主要成果:

与Du Novo相比,AFUMIC的单链和双链共识序列输出分别增加了7.27倍和3.84倍.
从3.01e-4降低到2.10e-5. 从3.01e-4降低到2.10e-5. 每个基数的错误率.
无错位从45.27%增加到99.85%,使得在1e-5 VAF.实现变种检测.
证明了卓越的计算效率.

结论:

AFUMIC为超敏感变种检测提供了一种高效的方法.
该框架提高了聚类精度和数据保留.
AFUMIC建立了一个广泛适用的,计算效率高的方法,用于临床诊断和基因组研究中的错误纠正测序.

关键词:

通过UMI集群,可以实现UMI集群.双重测序是指双重的测序.错误抑制错误抑制错误抑制低频变种是一种低频变种.

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