RNA序列
核糖核酸
计算生物学
生物
转录组
基因
基因表达
生物信息学
RNA编辑
基因组学
遗传学
基因组
作者
Radmila Hrdličková,Masoud Toloue,Bin Tian
摘要
Deep sequencing has been revolutionizing biology and medicine in recent years, providing single base‐level precision for our understanding of nucleic acid sequences in high throughput fashion. Sequencing of RNA , or RNA ‐Seq, is now a common method to analyze gene expression and to uncover novel RNA species. Aspects of RNA biogenesis and metabolism can be interrogated with specialized methods for cDNA library preparation. In this study, we review current RNA ‐Seq methods for general analysis of gene expression and several specific applications, including isoform and gene fusion detection, digital gene expression profiling, targeted sequencing and single‐cell analysis. In addition, we discuss approaches to examine aspects of RNA in the cell, technical challenges of existing RNA ‐Seq methods, and future directions. WIREs RNA 2017, 8:e1364. doi: 10.1002/wrna.1364 This article is categorized under: RNA Evolution and Genomics > Ribonomics RNA Methods > RNA Analyses In Vitro and In Silico
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