Overview
- Includes cutting-edge techniques
- 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 2812)
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Keywords
- Transcriptomics
- RNA-Seq analysis
- RNA sequencing
- Data integration
- Gene interaction network
- Machine learning
About this book
This detailed volume presents a comprehensive exploration of the advances in transcriptomics, with a focus on methods and pipelines for transcriptome data analysis. In addition to well-established RNA sequencing (RNA-Seq) data analysis protocols, the chapters also examine specialized pipelines, such as multi-omics data integration and analysis, gene interaction network construction, single-cell trajectory inference, detection of structural variants, application of machine learning, and more. As part of the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice that leads to best results in the lab.
Authoritative and practical, Transcriptome Data Analysis serves as an ideal resource for educators and researchers looking to understand new developments in the field, learn usage of the protocols for transcriptome data analysis, and implement the tools or pipelines to address relevant problemsof their interest.
Chapter 4 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Editors and Affiliations
Bibliographic Information
Book Title: Transcriptome Data Analysis
Editors: Rajeev K. Azad
Series Title: Methods in Molecular Biology
Publisher: Humana New York, NY
eBook Packages: Springer Protocols
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature 2024
Hardcover ISBN: 978-1-0716-3885-9Due: 05 August 2024
Softcover ISBN: 978-1-0716-3888-0Due: 05 August 2024
eBook ISBN: 978-1-0716-3886-6Due: 05 August 2024
Series ISSN: 1064-3745
Series E-ISSN: 1940-6029
Edition Number: 1
Number of Pages: X, 365
Number of Illustrations: 3 b/w illustrations, 76 illustrations in colour