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 1833)
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About this book
This volume offers detailed step-by-step instructions to allow beginners and experts alike to run appropriate copy number variants (CNV) detection software on a dataset of choice and discern between false positive noise and true positive CNV signals. Chapters guide readers through single nucleotide polymorphism (SNP) chips, optical mapping assembly techniques, and current open-source programs specializing in CNV detection. 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, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.
Authoritative and cutting-edge, Copy Number Variants: Methods and Protocols aims to provide guidance to Bioinformaticians and Molecular Biologists who are interested in identifying copy number variants (CNV) with a wide variety of experimental mediaSimilar content being viewed by others
Keywords
Table of contents (17 protocols)
Editors and Affiliations
Bibliographic Information
Book Title: Copy Number Variants
Book Subtitle: Methods and Protocols
Editors: Derek M. Bickhart
Series Title: Methods in Molecular Biology
DOI: https://doi.org/10.1007/978-1-4939-8666-8
Publisher: Humana New York, NY
eBook Packages: Springer Protocols
Copyright Information: Springer Science+Business Media, LLC, part of Springer Nature 2018
Hardcover ISBN: 978-1-4939-8665-1Published: 24 July 2018
Softcover ISBN: 978-1-4939-9359-8Published: 10 December 2019
eBook ISBN: 978-1-4939-8666-8Published: 23 July 2018
Series ISSN: 1064-3745
Series E-ISSN: 1940-6029
Edition Number: 1
Number of Pages: X, 206
Number of Illustrations: 11 b/w illustrations, 25 illustrations in colour
Topics: Bioinformatics
Industry Sectors: Biotechnology