Analysis of Small RNA Sequencing Data in Plants

Garg, V and Varshney, R K (2022) Analysis of Small RNA Sequencing Data in Plants. In: Plant Bioinformatics Methods in Molecular Biology. Methods in Molecular Biology, III (2443). Humana, New York, pp. 497-509. ISBN 978-1-0716-2067-0

PDF - Published Version Available under License ["licenses_description_cc_attribution" not defined]. Download (399kB)

Abstract

Over the past decades, next-generation sequencing (NGS) has been employed extensively for investigating the regulatory mechanisms of small RNAs. Several bioinformatics tools are available for aiding biologists to extract meaningful information from enormous amounts of data generated by NGS platforms. This chapter describes a detailed methodology for analyzing small RNA sequencing data using different open source tools. We elaborate on various steps involved in analysis, from processing the raw sequencing reads to identifying miRNAs, their targets, and differential expression studies.

Item Type:	Book Section
Divisions:	Center of Excellence in Genomics and Systems Biology
CRP:	UNSPECIFIED
Series Name:	Methods in Molecular Biology
Uncontrolled Keywords:	Small RNA sequencing, miRNAs, Bioinformatics, Differential expression, miRDeep-P
Subjects:	Others > Data & Analytics Others > Genetics and Genomics
Depositing User:	Mr Nagaraju T
Date Deposited:	23 Apr 2024 06:00
Last Modified:	23 Apr 2024 06:00
URI:	http://oar.icrisat.org/id/eprint/12641
Acknowledgement:	RKVthanksBill and Melinda Gates Foundation, USA, for supporting several projects related to genomics-assisted breeding at ICRISAT and acknowledges Science and Engineering Research Board (SERB), Department of Science and Technology, Government of India for awarding the JC Bose National Fellowship.
Links:	Google Scholar

View Statistics

Actions (login required)

View Item