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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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
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