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训练数据多样性增强了新型RNA修饰诱导的纳米孔测序读取结果的基础调用

Ziyuan Wang¹, Ziyang Liu^1,2, Yinshan Fang³

¹Department of Pharmacy Practice and Science, University of Arizona, Tucson, Arizona, USA.

bioRxiv : the preprint server for biology

|September 11, 2024

概括

训练具有多种核酸修饰的纳米孔测序基调器可以提高它们准确分析新型,未见的修饰的能力. 这种增强的概括性是可靠下游生物信息学分析的关键.

科学领域:

生物信息学是一种生物信息学.
基因组学就是基因组学.
分子生物学分子生物学

背景情况:

纳米孔测序中的准确基调被核酸修饰所阻碍,影响下游分析.
目前的基调算法与修改诱导的序列信号的兼容性有限.
精确的基调调用对于可靠地解释测序数据至关重要.

研究的目的:

调查基础调用者对各种修改的培训是否提高了他们分析新修改的能力.
探索训练数据多样性对纳米孔测序基调器的概括性的影响.

主要方法:

利用合成的寡头作为一个模型系统来测试基础调用性能.
在训练过程中,暴露基调者对多种核酸修饰的一组.
评估了基调器准确调用样本外RNA修饰的能力.

主要成果:

在各种修改方面接受训练的基调者表现出对新的,未见过的修改有更好的概括性.
实现了各种样本外RNA修饰的精确基调调用.
由于各种培训修改,基调者扩大了表示空间,这解释了这种增强的概括性.

结论:

增加培训数据多样性是开发耐修改纳米孔测序基调器的新策略.
多样化的训练增强了基调器的概括性,使未知核酸修饰的准确分析成为可能.
这种方法为更强大,更可靠的纳米孔测序数据解释提供了途径.

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RNA-seq

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...