Editors:
- 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
Part of the book series: Methods in Molecular Biology (MIMB, volume 1751)
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Table of contents (16 protocols)
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Front Matter
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General Protocols on Transcriptome Data Analysis
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Front Matter
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Objective-Specialized Transcriptome Data Analysis
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Front Matter
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New Applications of Transcriptome
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Front Matter
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About this book
Authoritative and useful, Transcriptome Data Analysis: Methods and Protocols serves as an ideal guide to the expanding purposes of this field of study.
Editors and Affiliations
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Department of Cell Biology and Genetics, School of Basic Medicine, Shenzhen University Health, Science Center, Shenzhen, China
Yejun Wang
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Epigenomics and Computational Biology Lab, Biocomplexity Institute of Virginia Tech, Blacksburg, USA
Ming-an Sun
Bibliographic Information
Book Title: Transcriptome Data Analysis
Book Subtitle: Methods and Protocols
Editors: Yejun Wang, Ming-an Sun
Series Title: Methods in Molecular Biology
DOI: https://doi.org/10.1007/978-1-4939-7710-9
Publisher: Humana New York, NY
eBook Packages: Springer Protocols
Copyright Information: Springer Science+Business Media, LLC 2018
Hardcover ISBN: 978-1-4939-7709-3Published: 06 March 2018
Softcover ISBN: 978-1-4939-9264-5Published: 10 December 2019
eBook ISBN: 978-1-4939-7710-9Published: 05 March 2018
Series ISSN: 1064-3745
Series E-ISSN: 1940-6029
Edition Number: 1
Number of Pages: X, 238
Number of Illustrations: 5 b/w illustrations, 50 illustrations in colour
Topics: Human Genetics