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Cited by 679

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RNA‐Seq methods for transcriptome analysis

Open access
Hrdlickova, Radmila, Toloue, Masoud, Tian, Bin·2017·WIREs RNA

Abstract

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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Metadata

Authors
Hrdlickova, R., Toloue, M., & Tian, B.
Venue
WIREs RNA
Publisher
Wiley
Published
2016-05-19
Volume
8
Issue
1
ISSN
  • 1757-7004 (ISSN-L)
  • 1757-7012
OpenAlex
W2395783098
Cited by
679
References
25
FWCI
3.29
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: RNA‐Seq methods for transcriptome analysis. https://app.cochat.ai/papers/10.1002/wrna.1364
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Hrdlickova, R., Toloue, M., & Tian, B. (2017). RNA‐Seq methods for transcriptome analysis. WIREs RNA. https://doi.org/10.1002/wrna.1364

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