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CleanUpRNAseq:一种R/生物导体包,用于检测和纠正RNA-Seq数据中的DNA污染

Haibo Liu¹, Kai Hu¹, Kevin O'Connor¹

¹Department of Molecular, Cell and Cancer Biology, University of Massachusetts Chan Medical School, 364 Plantation Street, Worcester, MA 01605, USA.

Biotech (Basel (Switzerland))

|August 27, 2024

概括

在RNA测序 (RNA-seq) 中的基因组DNA污染可能会扭曲结果. CleanUpRNAseq有效地检测和纠正这种污染,提高了宝贵的RNA样本的基因表达分析准确度.

科学领域:

分子生物学分子生物学
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:

RNA测序 (RNA-seq) 对于基因表达造型至关重要.
在RNA-seq库中的基因组DNA (gDNA) 污染损害了数据完整性.
准确的分析至关重要,特别是对于稀缺的RNA样本.

研究的目的:

开发和验证一种工具,用于检测和纠正RNA-seq数据中的gDNA污染.
为了解决现有的gDNA污染纠正方法的局限性.
通过确保其完整性来增强RNA-seq数据的实用性.

主要方法:

开发了带有多个校正算法的CleanUpRNAseq软件包.
针对串串和不串串的RNA-seq数据实施不同的校正策略.
严格验证使用公开数据集与已知的污染水平和现实世界的数据.

主要成果:

在各种RNA-seq库协议中,CleanUpRNAseq有效地识别和纠正gDNA污染.
已证明有效改善链链和非链链RNA-seq. 的数据质量.
验证证实了该工具在不同数据集上的性能.

结论:

CleanUpRNAseq是RNA-seq.在RNA-seq.中对对齐后质量控制的一个有价值的工具.
建议将其整合到常规工作流程中,例如OneStopRNAseq.
该包显著提高了基因表达和差异表达分析的准确性.

关键词:

污染了DNA,导致了DNA污染.在GC偏差偏差.在R包中,R包是R包.在RNA-seqqq.生物信息学是一种生物信息学.基因表达的基因表达方式

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