Advertisement

Gene Function Analysis

  • Michael F. Ochs

Part of the Methods in Molecular Biology book series (MIMB, volume 1101)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Reviews

  3. Computational Methods

    1. Front Matter
      Pages 11-11
    2. Jeremy J. Jay, Elissa J. Chesler
      Pages 13-29
    3. Basma El Yacoubi, Valérie de Crécy-Lagard
      Pages 43-66
    4. Maxime Garcia, Pascal Finetti, Francois Bertucci, Daniel Birnbaum, Ghislain Bidaut
      Pages 67-85
    5. Elana J. Fertig, Genevieve Stein-O’Brien, Andrew Jaffe, Carlo Colantuoni
      Pages 87-112
    6. Giovanni Parmigiani, Simina Boca, Jie Ding, Lorenzo Trippa
      Pages 113-134
    7. Chai-Jin Lee, Jared Evans, Kwangsoo Kim, Heejoon Chae, Sun Kim
      Pages 161-178
    8. Vincenzo Belcastro, Diego di Bernardo
      Pages 179-196
    9. Hanqing Liu, Tim N. Beck, Erica A. Golemis, Ilya G. Serebriiskii
      Pages 197-245
  4. Experimental Methods

    1. Front Matter
      Pages 247-247
    2. Fatma O. Kok, Ankit Gupta, Nathan D. Lawson, Scot A. Wolfe
      Pages 267-303
    3. Michael Hust, André Frenzel, Thomas Schirrmann, Stefan Dübel
      Pages 305-320
    4. Arundhathi Sriharshan, Omid Azimzadeh, Randolph B. Caldwell, Soile Tapio
      Pages 369-392
    5. Lisette A. Maddison, Mingyu Li, Wenbiao Chen
      Pages 393-411
  5. Back Matter
    Pages 413-416

About this book

Introduction

The determination of protein function has been a major goal of molecular biology since the founding of the discipline. However, as we learn more about gene function, we discover that the context within which a gene is expressed controls the specific function of that gene. It has become critical to establish the background in which gene function is determined and to perform experiments in multiple applicable backgrounds.  In Gene Function Analysis, Second Edition, a number of computational and experimental techniques are presented for identifying not only the function of an individual gene, but also the partners that work with that gene.  The theme of data integration runs strongly through the computational techniques, with many focusing on gathering data from different sources and different biomolecular types. Experimental techniques have evolved to determine function in specific tissues and at specific times during development. Written in the successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, and notes on troubleshooting and avoiding known pitfalls.

 

Authoritative and easily accessible, Gene Function Analysis, Second Edition seeks to serve both professionals and novices with a growing understanding of the complexity of gene function.

Keywords

functional genomic analysis gene expression gene function signaling network transcription gene network

Editors and affiliations

  • Michael F. Ochs
    • 1
  1. 1.Dept of Mathematics & StatisticsThe College of New JerseyEwingUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-62703-721-1
  • Copyright Information Springer Science+Business Media, LLC 2014
  • Publisher Name Humana Press, Totowa, NJ
  • eBook Packages Springer Protocols
  • Print ISBN 978-1-62703-720-4
  • Online ISBN 978-1-62703-721-1
  • Series Print ISSN 1064-3745
  • Series Online ISSN 1940-6029
  • Buy this book on publisher's site
Industry Sectors
Pharma
Biotechnology
Consumer Packaged Goods