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{"title":"Data Analysis Pipeline for RNA-seq Experiments: From Differential Expression to Cryptic Splicing","authors":"Hari Krishna Yalamanchili, Ying-Wooi Wan, Zhandong Liu","doi":"10.1002/cpbi.33","DOIUrl":null,"url":null,"abstract":"<p>RNA sequencing (RNA-seq) is a high-throughput technology that provides unique insights into the transcriptome. It has a wide variety of applications in quantifying genes/isoforms and in detecting non-coding RNA, alternative splicing, and splice junctions. It is extremely important to comprehend the entire transcriptome for a thorough understanding of the cellular system. Several RNA-seq analysis pipelines have been proposed to date. However, no single analysis pipeline can capture dynamics of the entire transcriptome. Here, we compile and present a robust and commonly used analytical pipeline covering the entire spectrum of transcriptome analysis, including quality checks, alignment of reads, differential gene/transcript expression analysis, discovery of cryptic splicing events, and visualization. Challenges, critical parameters, and possible downstream functional analysis pipelines associated with each step are highlighted and discussed. This unit provides a comprehensive understanding of state-of-the-art RNA-seq analysis pipeline and a greater understanding of the transcriptome. © 2017 by John Wiley & Sons, Inc.</p>","PeriodicalId":10958,"journal":{"name":"Current protocols in bioinformatics","volume":"59 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/cpbi.33","citationCount":"35","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current protocols in bioinformatics","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cpbi.33","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 35
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Abstract
RNA sequencing (RNA-seq) is a high-throughput technology that provides unique insights into the transcriptome. It has a wide variety of applications in quantifying genes/isoforms and in detecting non-coding RNA, alternative splicing, and splice junctions. It is extremely important to comprehend the entire transcriptome for a thorough understanding of the cellular system. Several RNA-seq analysis pipelines have been proposed to date. However, no single analysis pipeline can capture dynamics of the entire transcriptome. Here, we compile and present a robust and commonly used analytical pipeline covering the entire spectrum of transcriptome analysis, including quality checks, alignment of reads, differential gene/transcript expression analysis, discovery of cryptic splicing events, and visualization. Challenges, critical parameters, and possible downstream functional analysis pipelines associated with each step are highlighted and discussed. This unit provides a comprehensive understanding of state-of-the-art RNA-seq analysis pipeline and a greater understanding of the transcriptome. © 2017 by John Wiley & Sons, Inc.
RNA-seq实验的数据分析管道:从差异表达到隐剪接
RNA测序(RNA-seq)是一种高通量技术,可提供对转录组的独特见解。它在定量基因/同种异构体和检测非编码RNA、选择性剪接和剪接连接方面具有广泛的应用。了解整个转录组对于彻底了解细胞系统是非常重要的。迄今为止,已经提出了几种RNA-seq分析管道。然而,没有单一的分析管道可以捕获整个转录组的动态。在这里,我们编译并展示了一个强大的、常用的分析管道,涵盖了转录组分析的整个范围,包括质量检查、reads比对、差异基因/转录物表达分析、隐剪接事件的发现和可视化。强调并讨论了与每个步骤相关的挑战、关键参数和可能的下游功能分析管道。本单元提供了对最先进的RNA-seq分析管道的全面了解和对转录组的更深入了解。©2017 by John Wiley &儿子,Inc。
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