Computational methods for RNA modification detection from nanopore direct RNA sequencing data

RNA Biol. 2021 Oct 15;18(sup1):31-40. doi: 10.1080/15476286.2021.1978215. Epub 2021 Sep 24.

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.

Keywords: RNA modifications; direct rna sequencing; epitranscriptome; nanopore; software.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Algorithms*
  • Animals
  • Computational Biology / methods*
  • Humans
  • Nanopore Sequencing / methods*
  • RNA / chemistry*
  • RNA / genetics*
  • RNA Processing, Post-Transcriptional*
  • Software
  • Transcriptome*

Substances

  • RNA