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

Dindhoria, Kiran and Monga, Isha and Thind, Amarinder Singh (2022) Computational approaches and challenges for identification and annotation of non-coding RNAs using RNA-Seq. FUNCTIONAL & INTEGRATIVE GENOMICS, 22 (6). pp. 1105-1112.

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Official URL: https://link.springer.com/article/10.1007/s10142-0...

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.

Item Type: Article
Additional Information: The copyright of this article belongs to Springer
Uncontrolled Keywords: Bioinformatics advancements; Next-generation sequencing; Omics; RNAseq applications; Transcriptomics
Subjects: Q Science > QR Microbiology
Depositing User: Dr. K.P.S.Sengar
Date Deposited: 15 Dec 2022 08:13
Last Modified: 15 Dec 2022 08:13
URI: http://crdd.osdd.net/open/id/eprint/3039

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