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Bioinformatics Analysis of miRNA Sequencing Data

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MicroRNA Profiling

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2595))

Abstract

The bioinformatics analysis of miRNA is a complicated task with multiple operations and steps involved from processing of raw sequence data to finally identifying accurate microRNAs associated with the phenotypes of interest. A complete analysis process demands a high level of technical expertise in programming, statistics, and data management. The goal of this chapter is to reduce the burden of technical expertise and provide readers the opportunity to understand crucial steps involved in the analysis of miRNA sequencing data.

In this chapter, we describe methods and tools employed in processing of miRNA reads, quality control, alignment, quantification, and differential expression analysis.

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Author information

Authors and Affiliations

  1. Brigham and Women’s Hospital, Boston, MA, USA

    Hrishikesh A. Lokhande

Authors
  1. Hrishikesh A. Lokhande
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Corresponding author

Correspondence to Hrishikesh A. Lokhande .

Editor information

Editors and Affiliations

  1. Department of Science, South East Technological University, Waterford, Ireland

    Sweta Rani

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© 2023 The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature

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Lokhande, H.A. (2023). Bioinformatics Analysis of miRNA Sequencing Data. In: Rani, S. (eds) MicroRNA Profiling. Methods in Molecular Biology, vol 2595. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2823-2_16

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  • DOI: https://doi.org/10.1007/978-1-0716-2823-2_16

  • Published:

  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-2822-5

  • Online ISBN: 978-1-0716-2823-2

  • eBook Packages: Springer Protocols

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