Data, Sequence Analysis and Evolution

  • Jonathan M. Keith

Part of the Methods in Molecular Biology™ book series (MIMB, volume 452)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Data and Databases

    1. Ilene Karsch Mizrachi
      Pages 3-27
    2. Lincoln G. Scott, Mirko Hennig
      Pages 29-61
    3. Andrea Ilari, Carmelinda Savino
      Pages 63-87
    4. Midori A. Harris
      Pages 111-124
    5. Hideya Kawaji, Yoshihide Hayashizaki
      Pages 125-139
  3. Sequence Analysis

    1. Walter Pirovano, Jaap Heringa
      Pages 143-161
    2. Alice Carolyn McHardy
      Pages 163-177
    3. Namshin Kim, Christopher Lee
      Pages 179-197
    4. Yi Xing, Christopher Lee
      Pages 199-205
    5. Jonathan M. Keith
      Pages 207-229
    6. Timothy L. Bailey
      Pages 231-251
  4. Phylogenetics and Evolution

    1. Pietro Liò, Martin Bishop
      Pages 255-285
    2. Simon Whelan
      Pages 287-309
    3. Lars Sommer Jermiin, Vivek Jayaswal, Faisal Ababneh, John Robinson
      Pages 331-364
    4. Julian M. Catchen, John S. Conery, John H. Postlethwait
      Pages 365-383
    5. Richard Friedberg, Aaron E. Darling, Sophia Yancopoulos
      Pages 385-416
    6. José M. Peregrín-Alvarez
      Pages 417-430
    7. Robert G. Beiko, Mark A. Ragan
      Pages 457-469
    8. Georg F. Weiller
      Pages 471-483
    9. Paul M.E. Bunje, Thierry Wirth
      Pages 485-506
    10. Jens Gramm, Arfst Nickelsen, Till Tantau
      Pages 507-535
  5. Back Matter
    Pages 537-562

About this book


Not only is the quantity of life science data expanding, but new types of biological data continue to be introduced as a result of technological development and a growing understanding of biological systems. Methods for analyzing these data are an increasingly important component of modern biological research. In Bioinformatics, leading researchers in the field provide a selection of the most useful and widely applicable methods, able to be applied as is, or with minor variations, to many specific problems.  Volume I: Data, Sequence Analysis and Evolution examines a selection of methods involving the generation and organization of data, including sequence data, RNA and protein structures, microarray expression data and functional annotations, methods for discovering the functional components of genomes, whether they be genes, alternative splice sites, non-coding RNAs or regulatory motifs, and several of the most interesting methods in phylogenetics and evolution.  As a volume of the highly successful Methods in Molecular Biology™ series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results.

Comprehensive and cutting-edge, Bioinformatics: Volume I: Data, Sequence Analysis and Evolution is an ideal reference for all scientists involved with the ever-growing array of data in the expanding field of life science.


Computational diagnostics Computer Databases Evolution Microarray expression data Phylogenetics Sequence analysis Sequence data Termination algorithms bioinformatics calculus database genes genetics

Editors and affiliations

  • Jonathan M. Keith
    • 1
  1. 1.School of Mathematical SciencesQueensland University of TechnologyBrisbaneAustralia

Bibliographic information

  • DOI
  • Copyright Information Humana Press 2008
  • Publisher Name Humana Press
  • eBook Packages Springer Protocols
  • Print ISBN 978-1-58829-707-5
  • Online ISBN 978-1-60327-159-2
  • Series Print ISSN 1064-3745
  • Series Online ISSN 1940-6029
  • Buy this book on publisher's site