Cheng Han, Wang Yejun, Sun Ming-An
Key Laboratory of Rubber Biology, Ministry of Agriculture, Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Danzhou, 571737, Hainan, P.R. China.
Department of Cell Biology and Genetics, School of Basic Medicine, Shenzhen University Health Science Center, Shenzhen, China.
Methods Mol Biol. 2018;1751:3-16. doi: 10.1007/978-1-4939-7710-9_1.
With recent advances of next-generation sequencing technology, RNA-Sequencing (RNA-Seq) has emerged as a powerful approach for the transcriptomic profiling. RNA-Seq has been used in almost every field of biological studies, and has greatly extended our view of transcriptomic complexity in different species. In particular, for nonmodel organisms which are usually without high-quality reference genomes, the de novo transcriptome assembly from RNA-Seq data provides a solution for their comparative transcriptomic study. In this chapter, we focus on the comparative transcriptomic analysis of nonmodel organisms. Two analysis strategies (without or with reference genome) are described step-by-step, with the differentially expressed genes explored.
随着新一代测序技术的最新进展,RNA测序(RNA-Seq)已成为一种用于转录组分析的强大方法。RNA-Seq已应用于生物学研究的几乎每个领域,并极大地扩展了我们对不同物种转录组复杂性的认识。特别是对于通常没有高质量参考基因组的非模式生物,从RNA-Seq数据进行的从头转录组组装为其比较转录组研究提供了一种解决方案。在本章中,我们专注于非模式生物的比较转录组分析。逐步描述了两种分析策略(无参考基因组或有参考基因组),并探讨了差异表达基因。