Advertisement

Bioinformatics for DNA Sequence Analysis

  • David Posada

Part of the Methods in Molecular Biology book series (MIMB, volume 537)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Kit J. Menlove, Mark Clement, Keith A. Crandall
    Pages 1-22
  3. Mary Egan, Ernest K. Lee, Joanna C. Chiu, Gloria Coruzzi, Rob DeSalle
    Pages 23-38
  4. Kazutaka Katoh, George Asimenos, Hiroyuki Toh
    Pages 39-64
  5. Lars Sommer Jermiin, Joshua Wing Kei Ho, Kwok Wai Lau, Vivek Jayaswal
    Pages 65-91
  6. Stéphane Guindon, Frédéric Delsuc, Jean-François Dufayard, Olivier Gascuel
    Pages 113-137
  7. Christopher J. Creevey, James O. McInerney
    Pages 139-161
  8. Art F.Y. Poon, Simon D.W. Frost, Sergei L. Kosakovsky Pond
    Pages 163-183
  9. Darren P. Martin
    Pages 185-205
  10. Jesse Zaneveld, Micah Hamady, Noboru Sueoka, Rob Knight
    Pages 207-232
  11. Federico Abascal, Rafael Zardoya, David Posada
    Pages 233-242
  12. Enrique Blanco, Josep F. Abril
    Pages 243-261
  13. Leonardo Mariño-Ramírez, Kannan Tharakaraman, John L. Spouge, David Landsman
    Pages 263-276
  14. Jacqueline Batley, David Edwards
    Pages 303-321
  15. Back Matter
    Pages 351-354

About this book

Introduction

The storage, processing, description, transmission, connection, and analysis of the waves of new genomic data have made bioinformatics skills essential for scientists working with DNA sequences. In Bioinformatics for DNA Sequence Analysis, experts in the field provide practical guidance and troubleshooting advice for the computational analysis of DNA sequences, covering a range of issues and methods that unveil the multitude of applications and the vital relevance that the use of bioinformatics has today. Individual book chapters explore the use of specific bioinformatic tools, accompanied by practical examples, a discussion on the interpretation of results, and specific comments on strengths and limitations of the methods and tools. As a part 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.

Focused and cutting-edge, Bioinformatics for DNA Sequence Analysis serves molecular biologists, geneticists, and biochemists as an enriched task-oriented manual, offering step-by-step guidance for the analysis of DNA sequences in a simple but meaningful fashion.

Keywords

Annotation BLAST-Algorithmus Bioinformatic tools Computational analysis Computer science DNA Data Promoter SNP Statistics and mathematics bioinformatics genes genome sequence analysis

Editors and affiliations

  • David Posada
    • 1
  1. 1.Dept. Bioquímica, Genética e InmunologíaUniversidad de VigoVigoSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-59745-251-9
  • Copyright Information Humana Press 2009
  • Publisher Name Humana Press
  • eBook Packages Springer Protocols
  • Print ISBN 978-1-58829-910-9
  • Online ISBN 978-1-59745-251-9
  • Series Print ISSN 1064-3745
  • Series Online ISSN 1940-6029
  • Buy this book on publisher's site
Industry Sectors
Pharma
Biotechnology
Consumer Packaged Goods