Editors:
- 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 1910)
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Table of contents (25 protocols)
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Front Matter
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Introduction: Bioinformatician’s Primers
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Front Matter
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Genomic Alignment and Homology Inference
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Front Matter
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Phylogenomics and Genome Evolution
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Front Matter
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Natural Selection and Innovation in Genomic Sequences
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Front Matter
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About this book
Authoritative and comprehensive, Evolutionary Genomics: Statistical and Computational Methods, Second Edition aims to serve both novices in biology with strong statistics and computational skills, and molecular biologists with a good grasp of standard mathematical concepts, in moving this important field of study forward.
Editors and Affiliations
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Institute of Applied Simulations, School of Life Sciences and Facility Management, Zurich University of Applied Sciences (ZHAW), Wädenswil, Switzerland
Maria Anisimova
Bibliographic Information
Book Title: Evolutionary Genomics
Book Subtitle: Statistical and Computational Methods
Editors: Maria Anisimova
Series Title: Methods in Molecular Biology
DOI: https://doi.org/10.1007/978-1-4939-9074-0
Publisher: Humana New York, NY
eBook Packages: Springer Protocols
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2019
Hardcover ISBN: 978-1-4939-9073-3Published: 06 July 2019
eBook ISBN: 978-1-4939-9074-0Published: 05 July 2019
Series ISSN: 1064-3745
Series E-ISSN: 1940-6029
Edition Number: 2
Number of Pages: XVII, 780
Number of Illustrations: 79 b/w illustrations, 110 illustrations in colour
Topics: Bioinformatics, Genetics and Genomics, Evolutionary Biology