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Analysis of Small RNA Sequencing Data in Plants. | LitMetric

Analysis of Small RNA Sequencing Data in Plants.

Methods Mol Biol

Center of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Telangana, India.

Published: March 2022

AI Article Synopsis

  • Next-generation sequencing (NGS) has become a crucial technique for exploring how small RNAs regulate biological processes.
  • A variety of bioinformatics tools assist researchers in making sense of the large datasets produced by NGS.
  • The chapter outlines a comprehensive methodology for analyzing small RNA sequencing data, including steps for processing raw reads, identifying miRNAs and their targets, and conducting differential expression analyses.

Article 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.

Download full-text PDF

Source
http://dx.doi.org/10.1007/978-1-0716-2067-0_26DOI Listing

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