Literature DB >> 35037223

Analysis of Small RNA Sequencing Data in Plants.

Vanika Garg1, Rajeev K Varshney2,3.   

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.
© 2022. The Author(s).

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Keywords:  Bioinformatics; Differential expression; Small RNA sequencing; miRDeep-P; miRNAs

Mesh:

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Year:  2022        PMID: 35037223     DOI: 10.1007/978-1-0716-2067-0_26

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  1 in total

1.  PAREsnip2: a tool for high-throughput prediction of small RNA targets from degradome sequencing data using configurable targeting rules.

Authors:  Joshua Thody; Leighton Folkes; Zahara Medina-Calzada; Ping Xu; Tamas Dalmay; Vincent Moulton
Journal:  Nucleic Acids Res       Date:  2018-09-28       Impact factor: 16.971

  1 in total

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