RNA序列
预处理器
工作流程
计算机科学
计算生物学
下游(制造业)
表达式(计算机科学)
数据挖掘
数据科学
基因表达
基因
生物
数据库
人工智能
转录组
遗传学
程序设计语言
工程类
运营管理
作者
Polina V. Pavlovich,Pierre Cauchy
出处
期刊:Methods in molecular biology
日期:2022-01-01
卷期号:: 279-318
被引量:4
标识
DOI:10.1007/978-1-0716-2376-3_20
摘要
RNA-Seq is now a routinely employed assay to measure gene expression. As the technique matured over the last decade, so have dedicated analytic tools. In this chapter, we first describe the mainstream as well as the most up-to-date protocols and their implications on downstream analysis. We then detail the steps entailing RNA-Seq analysis in three main stages: (i) preprocessing and data preparation, (ii) upstream processing, and (iii) high-level analyses. We review the most recent and relevant tools as one workflow following a stepwise order. The chapter further encompasses in-depth features of these tools. Details of the required code are made available throughout the chapter, as well as of the underlying statistics. We illustrate these steps with analysis of publicly available RNA-Seq data.
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