Editors:
- Includes cutting-edge methods and protocols
- Provides step-by-step detail essential for reproducible results
- Contains key notes and implementation advice from the experts
- Includes supplementary material: sn.pub/extras
Part of the book series: Methods in Molecular Biology (MIMB, volume 1418)
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Table of contents (19 protocols)
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Front Matter
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Public Genomic Data
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Front Matter
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Applications
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Front Matter
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About this book
This volume expands on statistical analysis of genomic data by discussing cross-cutting groundwork material, public data repositories, common applications, and representative tools for operating on genomic data. Statistical Genomics: Methods and Protocols is divided into four sections. The first section discusses overview material and resources that can be applied across topics mentioned throughout the book. The second section covers prominent public repositories for genomic data. The third section presents several different biological applications of statistical genomics, and the fourth section highlights software tools that can be used to facilitate ad-hoc analysis and data integration. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, step-by-step, readily reproducible analysis protocols, and tips on troubleshooting and avoiding known pitfalls.
Through and practical, Statistical Genomics: Methods and Protocols, explores a range of both applications and tools and is ideal for anyone interested in the statistical analysis of genomic data.
Reviews
“This collection of articles offers a thorough overview of the field, making it an opportune and useful addition to the literature. The book is written in an accessible language and the variety of the topics which are presented recommends it as an excellent starting point or updated reference of the field. It is suitable for both post-graduate and established researchers, and the numerous examples that accompany the discussed topics recommend it as an asset.” (Irina Ioana Mohorianu, zbMATH 1346.92003, 2016)
Editors and Affiliations
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Ohio State University, Biomed Informatics, College of Medicine, Columbus, USA
Ewy Mathé
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National Cancer Institute, National Institutes of Health, Columbia, USA
Sean Davis
Bibliographic Information
Book Title: Statistical Genomics
Book Subtitle: Methods and Protocols
Editors: Ewy Mathé, Sean Davis
Series Title: Methods in Molecular Biology
DOI: https://doi.org/10.1007/978-1-4939-3578-9
Publisher: Humana New York, NY
eBook Packages: Springer Protocols
Copyright Information: Springer Science+Business Media New York 2016
Hardcover ISBN: 978-1-4939-3576-5Published: 24 March 2016
Softcover ISBN: 978-1-4939-8083-3Published: 19 April 2018
eBook ISBN: 978-1-4939-3578-9Published: 23 March 2016
Series ISSN: 1064-3745
Series E-ISSN: 1940-6029
Edition Number: 1
Number of Pages: XI, 418
Number of Illustrations: 28 b/w illustrations, 85 illustrations in colour
Topics: Human Genetics