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从Oxford纳米孔技术直接RNA测序数据开始检测多个表体转录组修饰

Adriano Fonzino¹, Bruno Fosso¹, Grazia Visci¹

¹Department of Biosciences, Biotechnology, and Environment, University of Bari Aldo Moro, Via Orabona 4, 70125, Bari, Italy.

Briefings in bioinformatics

|January 28, 2026

概括

我们开发了NanoSpeech和NanoListener,这是用于直接RNA测序的新生物信息学工具. 这些工具可以同时检测真核表转录组中的多个修饰基,从而改善RNA分析.

科学领域:

生物信息学是一种生物信息学.
分子生物学分子生物学
基因组学就是基因组学.

背景情况:

直接RNA测序为研究真核体表转录组提供了一个有前途的途径.
目前的生物信息学工具难以同时检测多个修改基,需要专门的,修改特定的方法.
现有的方法通常是修改无意识的,或者需要多个复杂的学习步骤.

研究的目的:

介绍NanoSpeech,一种新的修改感知基调器,用于同时检测多个RNA基.
介绍NanoListener,一种用于生成基础调用强大的训练数据集的策略.
开发一代新的牛津纳米孔技术 (ONT) 基调器,独立于特定的ONT化学.

主要方法:

开发了NanoSpeech,这是一个基于变压器的基调器,用于初始检测多个修改基的基调.
使用模拟随机器人策略实现NanoListener,以创建强大的训练数据集.
设计了一个单一的基础调用模型,具有扩展的词汇量,能够识别未修改和修改的基础.

主要成果:

纳米语能够从直接的RNA测序数据同时检测多个修饰基.
NanoListener提供了强大的训练数据集,提高了基础调用模型的准确性.
一个单一的,训练有素的模型可以准确地调用未修改和修改的RNA基,无论ONT化学如何.

结论:

NanoSpeech和NanoListener显著推进了对真核生物表体转录组的分析.
这些工具克服了当前修改无意识生物信息学软件的局限性.
开发的方法有助于准确和同时识别各种RNA修饰.

关键词:

在 ONT RNA 基础调用中.编辑RNA的RNA编辑基因组RNA的修改基因组RNA的改变直接进行RNA测序.标志性转录组学标志性转录组学

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