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 2301)
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Table of contents (18 protocols)
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Front Matter
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Back Matter
Keywords
About this book
This volume details a comprehensive set of methods and tools for Hi-C data processing, analysis, and interpretation. Chapters cover applications of Hi-C to address a variety of biological problems, with a specific focus on state-of-the-art computational procedures adopted for the data analysis. 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.
Authoritative and cutting-edge, Hi-C Data Analysis: Methods and Protocols aims to help computational and molecular biologists working in the field of chromatin 3D architecture and transcription regulation.
Editors and Affiliations
Bibliographic Information
Book Title: Hi-C Data Analysis
Book Subtitle: Methods and Protocols
Editors: Silvio Bicciato, Francesco Ferrari
Series Title: Methods in Molecular Biology
DOI: https://doi.org/10.1007/978-1-0716-1390-0
Publisher: Humana New York, NY
eBook Packages: Springer Protocols
Copyright Information: Springer Science+Business Media, LLC, part of Springer Nature 2022
Hardcover ISBN: 978-1-0716-1389-4Published: 21 August 2021
Softcover ISBN: 978-1-0716-1392-4Published: 22 August 2022
eBook ISBN: 978-1-0716-1390-0Published: 20 August 2021
Series ISSN: 1064-3745
Series E-ISSN: 1940-6029
Edition Number: 1
Number of Pages: XIII, 354
Number of Illustrations: 4 b/w illustrations, 58 illustrations in colour
Topics: Bioinformatics, Computational Biology/Bioinformatics