Evolutionary Genomics
Statistical and Computational Methods
Editors: Anisimova, Maria (Ed.)
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- Provides step-by-step detail essential for reproducible results
- Contains key implementation advice from the experts
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- About this book
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This open access book addresses the challenge of analyzing and understanding the evolutionary dynamics of complex biological systems at the genomic level, and elaborates on some promising strategies that would bring us closer to uncovering of the vital relationships between genotype and phenotype. After a few educational primers, the book continues with sections on sequence homology and alignment, phylogenetic methods to study genome evolution, methodologies for evaluating selective pressures on genomic sequences as well as genomic evolution in light of protein domain architecture and transposable elements, population genomics and other omics, and discussions of current bottlenecks in handling and analyzing genomic data. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detail and expert implementation advice that lead to the best results.
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.
- Table of contents (25 chapters)
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Introduction to Genome Biology and Diversity
Pages 3-31
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Probability, Statistics, and Computational Science
Pages 33-70
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A Not-So-Long Introduction to Computational Molecular Evolution
Pages 71-117
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Whole-Genome Alignment
Pages 121-147
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Inferring Orthology and Paralogy
Pages 149-175
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Table of contents (25 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Evolutionary Genomics
- Book Subtitle
- Statistical and Computational Methods
- Editors
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- Maria Anisimova
- Series Title
- Methods in Molecular Biology
- Series Volume
- 1910
- Copyright
- 2019
- Publisher
- Humana Press
- Copyright Holder
- The Editor(s) (if applicable) and The Author(s)
- eBook ISBN
- 978-1-4939-9074-0
- DOI
- 10.1007/978-1-4939-9074-0
- Hardcover ISBN
- 978-1-4939-9073-3
- Series ISSN
- 1064-3745
- Edition Number
- 2
- Number of Pages
- XVII, 780
- Number of Illustrations
- 79 b/w illustrations, 110 illustrations in colour
- Topics
