Gene Function Analysis

  • Michael F. Ochs

Part of the Methods in Molecular Biology™ book series (MIMB, volume 408)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Computational Methods I

    1. Front Matter
      Pages n1-n1
    2. Stefan A. Kirov, Bing Zhang, Jay R. Snoddy
      Pages 19-33
    3. Gregory E. Gonye, Praveen Chakravarthula, James S. Schwaber, Rajanikanth Vadigepalli
      Pages 49-68
    4. Vladimir N. Uversky, Predrag Radivojac, Lilia M. Iakoucheva, Zoran Obradovic, A. Keith Dunker
      Pages 69-92
  3. Computational Methods II

    1. Front Matter
      Pages n2-n2
    2. Jonathan Crabtree, Samuel V. Angiuoli, Jennifer R. Wortman, Owen R. White
      Pages 93-108
    3. John D. Osborne, Simon Lin, Lihua Julie Zhu, Warren A. Kibbe
      Pages 153-169
    4. Yen-Yi Ho, Leslie Cope, Marcel Dettling, Giovanni Parmigiani
      Pages 171-191
  4. Experimental Methods

    1. Front Matter
      Pages 192-192
    2. Randolph B Caldwell, Petra Fiedler, Ulrike Schoetz, Jean-Marie Buerstedde
      Pages 193-210
    3. Rugang Zhang, Peter D. Adams, Xiaofen Ye
      Pages 211-221
    4. Michael Hust, Stefan Dübel, Thomas Schirrmann
      Pages 243-255
    5. Nadezhda Y. Tikhmyanova, Eugene A. Izumchenko, Ilya G. Serebriiskii, Erica A. Golemis
      Pages 257-290
    6. Ilya G. Serebriiskii, Nadia Milech, Erica A. Golemis
      Pages 291-315
  5. Back Matter
    Pages 335-337

About this book


With the advent of high-throughput technologies, the number of genes of interest has expanded and the traditional methods for gene function analysis cannot achieve the throughput necessary for large-scale exploration. In Gene Function Analysis, a select team of experts bring together a number of recently developed techniques for studying gene function.  The volume begins with a variety of computational techniques, which provide an excellent point of departure for the cutting-edge experimental methods that follow.  Written in the highly successful Methods in Molecular Biology™ series format, each chapter surveys its subject with readily reproducible laboratory protocols, a list of the necessary materials, and the popular Notes section, which contains tips for troubleshooting and avoiding known pitfalls.

Comprehensive and timely, Gene Function Analysis offers researchers a clear guide and the important tools they need to further study the intricate human genome.


DNA Mutant Promoter Proteomics Stefan Dübel bioinformatics gene expression genes genome molecular biology transcription

Editors and affiliations

  • Michael F. Ochs
    • 1
  1. 1.The Sidney Kimmel Comprehensive Cancer CenterJohns Hopkins UniversityBaltimore

Bibliographic information

  • DOI
  • Copyright Information Humana Press 2007
  • Publisher Name Humana Press
  • eBook Packages Springer Protocols
  • Print ISBN 978-1-58829-734-1
  • Online ISBN 978-1-59745-547-3
  • Series Print ISSN 1064-3745
  • Series Online ISSN 1940-6029
  • Buy this book on publisher's site
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