creators_name: Dindhoria, Kiran
creators_name: Monga, Isha
creators_name: Thind, Amarinder Singh
type: article
datestamp: 2022-12-15 08:13:05
lastmod: 2022-12-15 08:13:05
metadata_visibility: show
title: Computational approaches and challenges for identification and annotation of non-coding RNAs using RNA-Seq
ispublished: pub
subjects: QR
keywords: Bioinformatics advancements; Next-generation sequencing; Omics; RNAseq applications; Transcriptomics
note: The copyright of this article belongs to Springer 
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.


date: 2022-11-21
date_type: published
publication: FUNCTIONAL & INTEGRATIVE GENOMICS
volume: 22
number: 6
publisher: Springer 
pagerange: 1105-1112
refereed: TRUE
official_url: https://link.springer.com/article/10.1007/s10142-022-00915-y
citation:   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.