Transcriptome Data Analysis

Methods and Protocols

  • Yejun Wang
  • Ming-an Sun

Part of the Methods in Molecular Biology book series (MIMB, volume 1751)

Table of contents

  1. Front Matter
    Pages i-x
  2. General Protocols on Transcriptome Data Analysis

    1. Front Matter
      Pages 1-1
    2. Ming-an Sun, Xiaojian Shao, Yejun Wang
      Pages 17-33
    3. Wen He, Shanrong Zhao, Chi Zhang, Michael S. Vincent, Baohong Zhang
      Pages 57-70
  3. Objective-Specialized Transcriptome Data Analysis

    1. Front Matter
      Pages 71-71
    2. Yejun Wang, Ming-an Sun, Aaron P. White
      Pages 89-99
    3. Xiaonan Fu, Daoyuan Dong
      Pages 109-125
    4. Emilio Mastriani, Rihong Zhai, Songling Zhu
      Pages 127-138
    5. Ming-an Sun, Rihong Zhai, Qing Zhang, Yejun Wang
      Pages 139-152
    6. Ying Jin, Molly Hammell
      Pages 153-167
  4. New Applications of Transcriptome

    1. Front Matter
      Pages 169-169
    2. Lei Li, Konrad U. Förstner, Yanjie Chao
      Pages 171-182
    3. Xiaojian Shao, Ming-an Sun
      Pages 183-198
    4. Jinfeng Zou, Daoquan Xiang, Raju Datla, Edwin Wang
      Pages 199-208
  5. Back Matter
    Pages 237-238

About this book


This detailed volume provides comprehensive practical guidance on transcriptome data analysis for a variety of scientific purposes. Beginning with general protocols, the collection moves on to explore protocols for gene characterization analysis with RNA-seq data as well as protocols on several new applications of transcriptome studies.  Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. 

Authoritative and useful, Transcriptome Data Analysis: Methods and Protocols serves as an ideal guide to the expanding purposes of this field of study.


RNA-seq Biomarker discovery RNA Editing Data processing Gene structure analysis Computational techniques Imprinting studies

Editors and affiliations

  • Yejun Wang
    • 1
  • Ming-an Sun
    • 2
  1. 1.Department of Cell Biology and Genetics, School of Basic MedicineShenzhen University Health, Science CenterShenzhenChina
  2. 2.Epigenomics and Computational Biology LabBiocomplexity Institute of Virginia TechBlacksburgUSA

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media, LLC 2018
  • Publisher Name Humana Press, New York, NY
  • eBook Packages Springer Protocols
  • Print ISBN 978-1-4939-7709-3
  • Online ISBN 978-1-4939-7710-9
  • Series Print ISSN 1064-3745
  • Series Online ISSN 1940-6029
  • Buy this book on publisher's site
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