ICAR Research Data Repository for Knowledge Management
Computational approaches and challenges for identification and annotation of non-coding RNAs using RNA-Seq
DIR@IMTECH: CSIR-Institute of Microbial Technology
View Archive Info| Field | Value | |
| Title |
Computational approaches and challenges for identification and annotation of non-coding RNAs using RNA-Seq
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| Creator |
Dindhoria, Kiran
Monga, Isha Thind, Amarinder Singh |
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| Subject |
QR Microbiology
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| Description |
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.
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| Publisher |
Springer
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| Date |
2022-11-21
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| Type |
Article
PeerReviewed |
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| Relation |
https://link.springer.com/article/10.1007/s10142-022-00915-y
http://crdd.osdd.net/open/3039/ |
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| Identifier |
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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