Premium
RNA ‐Seq methods for transcriptome analysis
Author(s) -
Hrdlickova Radmila,
Toloue Masoud,
Tian Bin
Publication year - 2016
Publication title -
wiley interdisciplinary reviews: rna
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.225
H-Index - 71
eISSN - 1757-7012
pISSN - 1757-7004
DOI - 10.1002/wrna.1364
Subject(s) - rna , rna seq , computational biology , biology , transcriptome , gene , gene expression , in silico , rna editing , genomics , genetics , genome
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