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Computational methods for RNA modification detection from nanopore direct RNA sequencing data
RNA Biology ( IF 4.1 ) Pub Date : 2021-09-24 , DOI: 10.1080/15476286.2021.1978215
Mattia Furlan 1 , Anna Delgado-Tejedor 2, 3 , Logan Mulroney 1, 4 , Mattia Pelizzola 1 , Eva Maria Novoa 2, 3 , Tommaso Leonardi 1
Affiliation  

ABSTRACT

The covalent modification of RNA molecules is a pervasive feature of all classes of RNAs and has fundamental roles in the regulation of several cellular processes. Mapping the location of RNA modifications transcriptome-wide is key to unveiling their role and dynamic behaviour, but technical limitations have often hampered these efforts. Nanopore direct RNA sequencing is a third-generation sequencing technology that allows the sequencing of native RNA molecules, thus providing a direct way to detect modifications at single-molecule resolution. Despite recent advances, the analysis of nanopore sequencing data for RNA modification detection is still a complex task that presents many challenges. Many works have addressed this task using different approaches, resulting in a large number of tools with different features and performances. Here we review the diverse approaches proposed so far and outline the principles underlying currently available algorithms.



中文翻译:

从纳米孔直接RNA测序数据检测RNA修饰的计算方法

摘要

RNA 分子的共价修饰是所有类别 RNA 的普遍特征,并且在多种细胞过程的调节中具有基本作用。绘制转录组范围内 RNA 修饰的位置是揭示其作用和动态行为的关键,但技术限制往往阻碍了这些努力。纳米孔直接RNA测序是第三代测序技术,可以对天然RNA分子进行测序,从而提供了一种以单分子分辨率检测修饰的直接方法。尽管最近取得了进展,但用于 RNA 修饰检测的纳米孔测序数据分析仍然是一项复杂的任务,带来了许多挑战。许多工作使用不同的方法来解决此任务,从而产生了大量具有不同功能和性能的工具。在这里,我们回顾了迄今为止提出的各种方法,并概述了当前可用算法的原理。

更新日期:2021-09-24
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