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PolyAseqTrap:一种通用工具,用于从不同3'端测序数据中全基因组识别和量化多化位点

Wenbin Ye^1,2,3, Xin Cheng¹, Xingyu Bi²

¹Department of Hematology, Children's Hospital of Soochow University, Suzhou, 215000, China.

|January 31, 2026

概括

PolyAseqTrap是一个新的R包,用于从测序数据中识别多基化 (polyA) 位点. 它准确地确定了多A位点,并解决了诸如跨物种内部原始化等挑战.

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:

替代多基化 (APA) 是真核生物中关键的RNA处理机制.
APA对转录组和蛋白质组的多样性做出了重大贡献.
准确识别聚亚丁化部位对于理解基因调节至关重要.

研究的目的:

推出PolyAseqTrap,这是一个用于分析多基化 (polyA) 位点的R包.
为从各种3'测序数据中探测多A位点提供一个强大的工具.
克服PolyA位点识别现有方法的局限性.

主要方法:

PolyAseqTrap使用了polyA读取优先级策略来准确地确定位置.
集成了一个可转移的跨物种深度学习模型,以减轻内部启动.
使用加权密度峰值集群来减少微异质性的影响.

主要成果:

PolyAseqTrap使用来自16种不同的3'测序技术的数据进行了评估.
该套餐在多种物种中表现出了有效性和稳定性.
即使使用具有挑战性的数据集,也实现了多A地点的准确识别.

结论:

PolyAseqTrap提供了一个强大而通用的解决方案,用于多基化位点分析.
该包通过改进的APA网站识别来加强对转录组多样性的研究.
PolyAseqTrap是基因组学和分子生物学研究人员的一个有价值的工具.

关键词:

替代性的多基解.深度学习是一种深度学习.高通量测序的高通量测序识别模型的识别模型内部启动的初始化

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RNA-seq

RNA-seq

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