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 855)
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Table of contents (16 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 Data Assembly, Alignment, and Homology Inference
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Front Matter
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Genome Evolution: Insights from Statistical Analyses
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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 1 includes a helpful introductory section of bioinformatician primers followed by detailed chapters detailing genomic data assembly, alignment, and homology inference as well as insights into genome evolution from statistical analyses. 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 1
Editors: Maria Anisimova
Series Title: Methods in Molecular Biology
DOI: https://doi.org/10.1007/978-1-61779-582-4
Publisher: Humana Totowa, NJ
eBook Packages: Springer Protocols
Copyright Information: Springer Science+Business Media, LLC 2012
Hardcover ISBN: 978-1-61779-581-7Published: 13 March 2012
Softcover ISBN: 978-1-4939-5908-2Published: 23 August 2016
eBook ISBN: 978-1-61779-582-4Published: 10 March 2012
Series ISSN: 1064-3745
Series E-ISSN: 1940-6029
Edition Number: 1
Number of Pages: XIV, 467
Number of Illustrations: 78 b/w illustrations, 13 illustrations in colour
Topics: Human Genetics, Evolutionary Biology