Editors:
- Serves as an ideal reference for young and experienced researchers alike
- Features practical, step-by-step guidance to methodologies being used in the field
- Includes key implementation advice from the experts
Part of the book series: Methods in Molecular Biology (MIMB, volume 856)
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Table of contents (22 protocols)
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Front Matter
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Phylogenomics
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Front Matter
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Natural Selection, Recombination, and Innovation in Genomic Sequences
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Front Matter
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The “-omics”
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Front Matter
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About this book
Together with early theoretical work in population genetics, the debate on sources of genetic makeup initiated by proponents of the neutral theory made a solid contribution to the spectacular growth in statistical methodologies for molecular evolution. Evolutionary Genomics: Statistical and Computational Methods is intended to bring together the more recent developments in the statistical methodology and the challenges that followed as a result of rapidly improving sequencing technologies. Presented by top scientists from a variety of disciplines, the collection includes a wide spectrum of articles encompassing theoretical works and hands-on tutorials, as well as many reviews with key biological insight. Volume 2 begins with phylogenomics and continues with in-depth coverage of natural selection, recombination, and genomic innovation. The remaining chapters treat topics of more recent interest, including population genomics, -omics studies, and computational issues related to the handling of large-scale genomic data. Written in the highly successful Methods in Molecular Biology™ series format, this work provides the kind of advice on methodology and implementation that is crucial for getting ahead in genomic data analyses.
Comprehensive and cutting-edge, Evolutionary Genomics: Statistical and Computational Methods is a treasure chest of state-of the-art methods to study genomic and omics data, certain to inspire both young and experienced readers to join the interdisciplinary field of evolutionary genomics.
Editors and Affiliations
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Department of Computer Science, ETH Zürich, Zürich, Switzerland
Maria Anisimova
Bibliographic Information
Book Title: Evolutionary Genomics
Book Subtitle: Statistical and Computational Methods, Volume 2
Editors: Maria Anisimova
Series Title: Methods in Molecular Biology
DOI: https://doi.org/10.1007/978-1-61779-585-5
Publisher: Humana Totowa, NJ
eBook Packages: Springer Protocols
Copyright Information: Springer Science+Business Media, LLC 2012
Hardcover ISBN: 978-1-61779-584-8Published: 08 March 2012
Softcover ISBN: 978-1-4939-6042-2Published: 23 August 2016
eBook ISBN: 978-1-61779-585-5Published: 08 March 2012
Series ISSN: 1064-3745
Series E-ISSN: 1940-6029
Edition Number: 1
Number of Pages: XV, 556
Topics: Human Genetics, Evolutionary Biology