Proteome Bioinformatics

  • Simon J. Hubbard
  • Andrew R. Jones

Part of the Methods in Molecular Biology™ book series (MIMB, volume 604)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Andrew R. Jones, Simon J. Hubbard
    Pages 1-5
  3. Markus Brosch, Jyoti Choudhary
    Pages 43-53
  4. Joshua E. Elias, Steven P. Gygi
    Pages 55-71
  5. Ashley C. Gucinski, Eric D. Dodds, Wenzhou Li, Vicki H. Wysocki
    Pages 73-94
  6. Christopher Hughes, Bin Ma, Gilles A. Lajoie
    Pages 105-121
  7. J. C. Wright, R. J. Beynon, S. J. Hubbard
    Pages 123-135
  8. Bindu Nanduri, Nan Wang, Mark L. Lawrence, Susan M. Bridges, Shane C. Burgess
    Pages 137-144
  9. Rene Hussong, Andreas Hildebrandt
    Pages 145-161
  10. Daniel Coca, Istvan Bogdan, Robert J. Beynon
    Pages 163-185
  11. Jennifer A. Chem (Mead), Luca Bianco, Conrad Bessant
    Pages 187-199
  12. Knut Reinert, Oliver Kohlbacher
    Pages 201-211
  13. Andrew W. Dowsey, Jeffrey S. Morris, Howard B. Gutstein, Guang-Zhong Yang
    Pages 239-255
  14. Eric W. Deutsch
    Pages 285-296

About this book

Introduction

The field of proteomics moves rapidly, as new methods, techniques, applications, standards, models and software appear almost on a daily basis. In Proteome Bioinformatics, expert researchers explore this ever-changing field, providing the reader with a mix of review and methodology chapters which address the fundamentals of analysis methods, algorithms, data standards and databases. Chapters include practical considerations for analyzing database search results, annotating genomes, speeding up searches, and responding to specific data processing challenges. 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 ground-breaking, Proteome Bioinformatics is an essential guidebook for the novice and expert alike, covering topics that address a wide range of data analysis and management problems.

Keywords

Proteomics algorithms bioinformatics databases genes genome molecular biology

Editors and affiliations

  • Simon J. Hubbard
    • 1
  • Andrew R. Jones
    • 2
  1. 1.Fac. Life SciencesUniversity of ManchesterManchesterUnited Kingdom
  2. 2.Fac. Veterinary ScienceUniversity of LiverpoolLiverpoolUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-60761-444-9
  • Copyright Information Humana Press 2010
  • Publisher Name Humana Press
  • eBook Packages Springer Protocols
  • Print ISBN 978-1-60761-443-2
  • Online ISBN 978-1-60761-444-9
  • Series Print ISSN 1064-3745
  • Series Online ISSN 1940-6029
  • About this book