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SEESAW:检测异形水平的等位体不平衡,以计算推断不确定性

Euphy Y Wu¹, Noor P Singh², Kwangbom Choi³

¹Department of Biostatistics, University of North Carolina-Chapel Hill, Chapel Hill, NC, USA.

|July 12, 2023

概括

SEESAW通过检测异构体级别的基失衡来改善RNA-seq分析,即使读取映射不确定. 这种方法提供了更高的功率,并引入了对共变量变异不平衡的新型测试.

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.
分子生物学分子生物学

背景情况:

由于多映射RNA-seq读取,在异形水平上检测基失衡是具有挑战性的.
来自读取映射的推理不确定性使准确的异形级别分析变得复杂.

研究的目的:

开发一种可靠的方法来检测异构体水平上的等位体不平衡.
为了应对多重映射读数和推理不确定性所带来的挑战.
引入新型的统计测试,用于异形水平的分析.

主要方法:

使用鱼进行读数定量化,使用Swish进行统计分析.
实施的SEESAW (表达和合与基失衡的统计评估) 方法.
通过转录起点采用聚合策略来增强不确定转录的信号.

主要成果:

与现有方法相比,SEESAW的统计能力更高,用于异形水平的基失衡.
聚合策略有效地强化了高映射不确定性转录的信号.
引入了一项新的统计测试,以检测随时间等共变量而变化的等位基失衡.

结论:

SEESAW提供了一套强大而灵活的工具套件,用于在异形级别检测等位素不平衡.
该方法有效地处理由多映射RNA-seq读取产生的推断不确定性.
SEESAW推进了转录异形表达和监管变异的分析.

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