Data Analysis Pipeline for RNA‐seq Experiments: From Differential Expression to Cryptic Splicing

Hari Krishna Yalamanchili1, Ying‐Wooi Wan1, Zhandong Liu2

1 Bioinformatics Core, Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, Texas, 2 Department of Pediatrics‐Neurology, Baylor College of Medicine, Houston, Texas
Publication Name:  Current Protocols in Bioinformatics
Unit Number:  Unit 11.15
DOI:  10.1002/cpbi.33
Online Posting Date:  September, 2017
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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.

Keywords: RNA‐seq; differential gene expression; differential isoform usage; alternative splicing; cryptic splicing

     
 
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Table of Contents

  • Introduction
  • Strategic Planning
  • Basic Protocol 1: Differential Gene Expression Analysis of RNA‐seq
  • Basic Protocol 2: Beyond DEGs: Differential Expression and Usage of Isoforms
  • Basic Protocol 3: Deep Into RNA‐seq: Cryptic Splicing
  • Guidelines for Understanding Results
  • Acknowledgments
  • Literature Cited
  • Figures
  • Tables
     
 
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Materials

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Literature Cited

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