Ji Fei, Sadreyev Ruslan I
Department of Molecular Biology, Massachusetts General Hospital, Boston, Massachusetts.
Department of Genetics, Harvard Medical School, Boston, Massachusetts.
Curr Protoc Mol Biol. 2018 Oct;124(1):e68. doi: 10.1002/cpmb.68. Epub 2018 Sep 17.
Quantitative analysis of gene expression is crucial for understanding the molecular mechanisms underlying genome regulation. RNA-seq is a powerful platform for comprehensive investigation of the transcriptome. In this unit, we present a general bioinformatics workflow for the quantitative analysis of RNA-seq data and describe a few current publicly available computational tools applicable at various steps of this workflow. These tools comprise a pipeline for quality assessment and quantitation of RNA-seq data that starts from raw sequencing files and is focused on the identification and analysis of genes that are differentially expressed between biological conditions. © 2018 by John Wiley & Sons, Inc.
基因表达的定量分析对于理解基因组调控背后的分子机制至关重要。RNA测序是全面研究转录组的强大平台。在本单元中,我们展示了一个用于RNA测序数据定量分析的通用生物信息学工作流程,并描述了一些当前可公开获取的适用于此工作流程各个步骤的计算工具。这些工具包括一个从原始测序文件开始的RNA测序数据质量评估和定量分析流程,重点是识别和分析在生物学条件之间差异表达的基因。© 2018约翰威立父子公司。