Liu Chia-Hsin, Di Y Peter
Department of Environmental and Occupational Health, University of Pittsburgh, Pittsburgh, PA, USA.
Methods Mol Biol. 2020;2102:61-113. doi: 10.1007/978-1-0716-0223-2_4.
RNA sequencing (RNA-seq) is a recently developed approach to perform transcriptome profiling using next-generation sequencing (NGS) technologies. Studies have shown that RNA-seq provides accurate measurement of transcript levels as well as their isoforms, which is useful to address complex transcriptomes. In addition, the increasing publicly available sequencing datasets and decreasing sequencing cost promote the use of RNA-seq for hypothesis-generating studies. In this chapter, we demonstrate how to analyze RNA-seq data and generate interpretable results using CLC genomic workbench software and perform the downstream pathway analysis using ingenuity pathway analysis (IPA).
RNA测序(RNA-seq)是一种最近开发的方法,用于使用下一代测序(NGS)技术进行转录组分析。研究表明,RNA-seq能够准确测量转录本水平及其异构体,这对于研究复杂的转录组很有用。此外,越来越多的公开可用测序数据集以及测序成本的降低,促进了RNA-seq在产生假设的研究中的应用。在本章中,我们将演示如何使用CLC基因组工作台软件分析RNA-seq数据并生成可解释的结果,以及如何使用 Ingenuity 通路分析(IPA)进行下游通路分析。