计算机科学
小RNA
原始数据
数据挖掘
任务(项目管理)
计算生物学
过程(计算)
序列分析
数据科学
生物
工程类
遗传学
系统工程
基因
操作系统
程序设计语言
出处
期刊:Methods in molecular biology
日期:2022-11-29
卷期号:: 225-237
被引量:2
标识
DOI:10.1007/978-1-0716-2823-2_16
摘要
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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