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Evolutionary Genomics

Statistical and Computational Methods, Volume 2

  • Book
  • © 2012

Overview

  • 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)

  1. Phylogenomics

  2. Natural Selection, Recombination, and Innovation in Genomic Sequences

  3. Population Genomics

  4. The “-omics”

  5. The "-omics"

Keywords

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

  • 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

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