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Evolutionary Genomics

Statistical and Computational Methods, Volume 2

  • Maria Anisimova

Part of the Methods in Molecular Biology book series (MIMB, volume 856)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Phylogenomics

    1. Front Matter
      Pages 1-1
    2. Christian N. K. Anderson, Liang Liu, Dennis Pearl, Scott V. Edwards
      Pages 3-28
    3. Gergely J. Szöllősi, Vincent Daubin
      Pages 29-51
    4. Pere Puigbò, Yuri I. Wolf, Eugene V. Koonin
      Pages 53-79
    5. Eric Bapteste, Frédéric Bouchard, Richard M. Burian
      Pages 81-110
  3. Natural Selection, Recombination, and Innovation in Genomic Sequences

    1. Front Matter
      Pages 111-111
    2. Carolin Kosiol, Maria Anisimova
      Pages 113-140
    3. Ying Zhen, Peter Andolfatto
      Pages 141-159
    4. Margarida Cardoso-Moreira, Manyuan Long
      Pages 161-186
    5. Kristoffer Forslund, Erik L. L. Sonnhammer
      Pages 187-216
    6. Sergei L. Kosakovsky Pond, Ben Murrell, Art F. Y. Poon
      Pages 239-272
  4. Population Genomics

    1. Front Matter
      Pages 273-273
    2. Søren Besenbacher, Thomas Mailund, Mikkel H. Schierup
      Pages 275-291
    3. Julien Y. Dutheil, Asger Hobolth
      Pages 293-313
  5. The “-omics”

    1. Front Matter
      Pages 333-333
    2. Gabriel Musso, Andrew Emili, Zhaolei Zhang
      Pages 363-380
    3. Alexander Korman, Amy Oh, Alexander Raskind, David Banks
      Pages 381-413
    4. Lars Feuerbach, Konstantin Halachev, Yassen Assenov, Fabian Müller, Christoph Bock, Thomas Lengauer
      Pages 431-467
    5. Pjotr Prins, Geert Smant, Ritsert C. Jansen
      Pages 469-485
  6. Handling Genomic Data: Resources and Computation

    1. Front Matter
      Pages 487-487
    2. Mark D. Wilkinson
      Pages 489-511
    3. Pjotr Prins, Naohisa Goto, Andrew Yates, Laurent Gautier, Scooter Willis, Christopher Fields et al.
      Pages 513-527
    4. Pjotr Prins, Dominique Belhachemi, Steffen Möller, Geert Smant
      Pages 529-545
  7. Back Matter
    Pages 547-556

About this book

Introduction

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.

Keywords

Bioinformatics Computational techniques Genome evolution Genomic data Genomic sequences Molecular evolution Phylogenomics Statistical methodologies

Editors and affiliations

  • Maria Anisimova
    • 1
  1. 1.Department of Computer ScienceETH ZürichZürichSwitzerland

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-61779-585-5
  • Copyright Information Springer Science+Business Media, LLC 2012
  • Publisher Name Humana Press
  • eBook Packages Springer Protocols
  • Print ISBN 978-1-61779-584-8
  • Online ISBN 978-1-61779-585-5
  • Series Print ISSN 1064-3745
  • Series Online ISSN 1940-6029
  • Buy this book on publisher's site