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Methods in Molecular Biology

Transcriptome Data Analysis

Methods and Protocols

Editors: Wang, Yejun, Sun, Ming-an (Eds.)

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  • Includes cutting-edge techniques for the study of transcriptome data analysis
  • Provides step-by-step detail essential for reproducible results
  • Contains key implementation advice from the experts
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eBook $109.00
price for USA in USD (gross)
  • ISBN 978-1-4939-7710-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.99
price for USA in USD
  • ISBN 978-1-4939-7709-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $139.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: March 20, 2019
  • ISBN 978-1-4939-9264-5
  • Free shipping for individuals worldwide
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.

Table of contents (16 chapters)

Table of contents (16 chapters)
  • Comparison of Gene Expression Profiles in Nonmodel Eukaryotic Organisms with RNA-Seq

    Pages 3-16

    Cheng, Han (et al.)

  • Microarray Data Analysis for Transcriptome Profiling

    Pages 17-33

    Sun, Ming-an (et al.)

  • Pathway and Network Analysis of Differentially Expressed Genes in Transcriptomes

    Pages 35-55

    Huang, Qianli (et al.)

  • QuickRNASeq: Guide for Pipeline Implementation and for Interactive Results Visualization

    Pages 57-70

    He, Wen (et al.)

  • Tracking Alternatively Spliced Isoforms from Long Reads by SpliceHunter

    Pages 73-88

    Kuang, Zheng (et al.)

Buy this book

eBook $109.00
price for USA in USD (gross)
  • ISBN 978-1-4939-7710-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.99
price for USA in USD
  • ISBN 978-1-4939-7709-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $139.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: March 20, 2019
  • ISBN 978-1-4939-9264-5
  • Free shipping for individuals worldwide
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Bibliographic Information

Bibliographic Information
Book Title
Transcriptome Data Analysis
Book Subtitle
Methods and Protocols
Editors
  • Yejun Wang
  • Ming-an Sun
Series Title
Methods in Molecular Biology
Series Volume
1751
Copyright
2018
Publisher
Humana Press
Copyright Holder
Springer Science+Business Media, LLC
eBook ISBN
978-1-4939-7710-9
DOI
10.1007/978-1-4939-7710-9
Hardcover ISBN
978-1-4939-7709-3
Softcover ISBN
978-1-4939-9264-5
Series ISSN
1064-3745
Edition Number
1
Number of Pages
X, 238
Number of Illustrations
5 b/w illustrations, 50 illustrations in colour
Topics