Suppr超能文献

基于 RNA-Seq 的非编码 RNA 鉴定与注释的计算方法及挑战

Computational approaches and challenges for identification and annotation of non-coding RNAs using RNA-Seq.

机构信息

Institute of Microbial Technology, Council of Scientific and Industrial Research, Chandigarh, India.

Department of Dermatology, Columbia University Irving Medical Center, New York, NY, USA.

出版信息

Funct Integr Genomics. 2022 Dec;22(6):1105-1112. doi: 10.1007/s10142-022-00915-y. Epub 2022 Nov 21.

Abstract

Significant innovations in next-generation sequencing techniques and bioinformatics tools have impacted our appreciation and understanding of RNA. Practical RNASeq applications have evolved in conjunction with sequence technology and bioinformatic tool advances. In this review, we explained various computational resources, tools, and bioinformatics analyses advancement for small and large non-coding RNAs. These include non-coding RNAs (ncRNAs) such as piwi, micro, circular, and long ncRNAs. In addition, this article discusses future challenges, single-cell level sequencing for non-coding RNAs, and advantages of using long-read sequencing to annotate lncRNAs.

摘要

下一代测序技术和生物信息学工具的重大创新,影响了我们对 RNA 的认识和理解。随着序列技术和生物信息学工具的进步,实用的 RNASeq 应用也在不断发展。在这篇综述中,我们解释了各种用于小和大非编码 RNA 的计算资源、工具和生物信息学分析的进展。这些包括非编码 RNA(ncRNA),如 piwi、micro、环状和长 ncRNA。此外,本文还讨论了未来的挑战、非编码 RNA 的单细胞水平测序,以及使用长读测序来注释 lncRNA 的优势。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验