Overview
- Includes cutting-edge methods and protocols
- Provides step-by-step detail essential for reproducible results
- Contains key notes and implementation advice from the experts
Part of the book series: Methods in Molecular Biology (MIMB, volume 2629)
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About this book
This volume provides a collection of protocols from researchers in the statistical genomics field. Chapters focus on integrating genomics with other “omics” data, such as transcriptomics, epigenomics, proteomics, metabolomics, and metagenomics. Written in the highly successful Methods in Molecular Biology series format, 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.
Cutting-edge and thorough, Statistical Genomics hopes that by covering these diverse and timely topics researchers are provided insights into future directions and priorities of pan-omics and the precision medicine era.
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Keywords
Table of contents (16 protocols)
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Front Matter
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Back Matter
Editors and Affiliations
Bibliographic Information
Book Title: Statistical Genomics
Editors: Brooke Fridley, Xuefeng Wang
Series Title: Methods in Molecular Biology
DOI: https://doi.org/10.1007/978-1-0716-2986-4
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 2023
Hardcover ISBN: 978-1-0716-2985-7Published: 17 March 2023
Softcover ISBN: 978-1-0716-2988-8Published: 17 March 2024
eBook ISBN: 978-1-0716-2986-4Published: 16 March 2023
Series ISSN: 1064-3745
Series E-ISSN: 1940-6029
Edition Number: 1
Number of Pages: XI, 377
Number of Illustrations: 7 b/w illustrations, 72 illustrations in colour
Topics: Genetics and Genomics