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Methods in Molecular Biology

Evolutionary Genomics

Statistical and Computational Methods, Volume 2

Editors: Anisimova, Maria (Ed.)

  • 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
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Buy this book

eBook $149.00
price for USA in USD (gross)
  • ISBN 978-1-61779-585-5
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.00
price for USA in USD
  • ISBN 978-1-61779-584-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $199.00
price for USA in USD
  • ISBN 978-1-4939-6042-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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.

Table of contents (22 chapters)

  • Tangled Trees: The Challenge of Inferring Species Trees from Coalescent and Noncoalescent Genes

    Anderson, Christian N. K. (et al.)

    Pages 3-28

  • Modeling Gene Family Evolution and Reconciling Phylogenetic Discord

    Szöllősi, Gergely J. (et al.)

    Pages 29-51

  • Genome-Wide Comparative Analysis of Phylogenetic Trees: The Prokaryotic Forest of Life

    Puigbò, Pere (et al.)

    Pages 53-79

  • Philosophy and Evolution: Minding the Gap Between Evolutionary Patterns and Tree-Like Patterns

    Bapteste, Eric (et al.)

    Pages 81-110

  • Selection on the Protein-Coding Genome

    Kosiol, Carolin (et al.)

    Pages 113-140

Buy this book

eBook $149.00
price for USA in USD (gross)
  • ISBN 978-1-61779-585-5
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.00
price for USA in USD
  • ISBN 978-1-61779-584-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $199.00
price for USA in USD
  • ISBN 978-1-4939-6042-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Evolutionary Genomics
Book Subtitle
Statistical and Computational Methods, Volume 2
Editors
  • Maria Anisimova
Series Title
Methods in Molecular Biology
Series Volume
856
Copyright
2012
Publisher
Humana Press
Copyright Holder
Springer Science+Business Media, LLC
eBook ISBN
978-1-61779-585-5
DOI
10.1007/978-1-61779-585-5
Hardcover ISBN
978-1-61779-584-8
Softcover ISBN
978-1-4939-6042-2
Series ISSN
1064-3745
Edition Number
1
Number of Pages
XV, 556
Topics