生物信息学方法在非编码 RNA 重复元件功能影响分析中的应用

Bioinformatics Approaches for Determining the Functional Impact of Repetitive Elements on Non-coding RNAs.

机构信息

Faculty of Science and Engineering, Waseda University, Tokyo, Japan.

AIST-Waseda University Computational Bio Big-Data Open Innovation Laboratory (CBBD-OIL), Tokyo, Japan.

出版信息

Methods Mol Biol. 2022;2509:315-340. doi: 10.1007/978-1-0716-2380-0_19.

DOI:10.1007/978-1-0716-2380-0_19

PMID:35796972

Abstract

With a large number of annotated non-coding RNAs (ncRNAs), repetitive sequences are found to constitute functional components (termed as repetitive elements) in ncRNAs that perform specific biological functions. Bioinformatics analysis is a powerful tool for improving our understanding of the role of repetitive elements in ncRNAs. This chapter summarizes recent findings that reveal the role of repetitive elements in ncRNAs. Furthermore, relevant bioinformatics approaches are systematically reviewed, which promises to provide valuable resources for studying the functional impact of repetitive elements on ncRNAs.

摘要

随着大量注释非编码 RNA（ncRNA）的出现，研究发现重复序列构成了具有特定生物学功能的 ncRNA 的功能成分（称为重复元件）。生物信息学分析是深入了解重复元件在 ncRNA 中作用的有力工具。本章总结了最近的发现，揭示了重复元件在 ncRNA 中的作用。此外，还系统地回顾了相关的生物信息学方法，这有望为研究重复元件对 ncRNA 的功能影响提供有价值的资源。