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  • © 2014

Gene Function Analysis

Editors:

  • Includes cutting-edge methods and protocols
  • Provides step-by-step detail essential for reproducible results
  • Contains key notes and implementation advice from the experts

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

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Table of contents (19 protocols)

  1. Front Matter

    Pages i-xiii
  2. Reviews

    1. Front Matter

      Pages 1-1
  3. Computational Methods

    1. Front Matter

      Pages 11-11
    2. Performing Integrative Functional Genomics Analysis in GeneWeaver.org

      • Jeremy J. Jay, Elissa J. Chesler
      Pages 13-29
    3. Integrative Data-Mining Tools to Link Gene and Function

      • Basma El Yacoubi, Valérie de Crécy-Lagard
      Pages 43-66
    4. Detection of Driver Protein Complexes in Breast Cancer Metastasis by Large-Scale Transcriptome–Interactome Integration

      • Maxime Garcia, Pascal Finetti, Francois Bertucci, Daniel Birnbaum, Ghislain Bidaut
      Pages 67-85
    5. Pattern Identification in Time-Course Gene Expression Data with the CoGAPS Matrix Factorization

      • Elana J. Fertig, Genevieve Stein-O’Brien, Andrew Jaffe, Carlo Colantuoni
      Pages 87-112
    6. Statistical Tools and R Software for Cancer Driver Probabilities

      • Giovanni Parmigiani, Simina Boca, Jie Ding, Lorenzo Trippa
      Pages 113-134
    7. Determining the Effect of DNA Methylation on Gene Expression in Cancer Cells

      • Chai-Jin Lee, Jared Evans, Kwangsoo Kim, Heejoon Chae, Sun Kim
      Pages 161-178
    8. Reverse Engineering Transcriptional Gene Networks

      • Vincenzo Belcastro, Diego di Bernardo
      Pages 179-196
    9. Integrating In Silico Resources to Map a Signaling Network

      • Hanqing Liu, Tim N. Beck, Erica A. Golemis, Ilya G. Serebriiskii
      Pages 197-245
  4. Experimental Methods

    1. Front Matter

      Pages 247-247
    2. Construction and Application of Site-Specific Artificial Nucleases for Targeted Gene Editing

      • Fatma O. Kok, Ankit Gupta, Nathan D. Lawson, Scot A. Wolfe
      Pages 267-303
    3. Selection of Recombinant Antibodies from Antibody Gene Libraries

      • Michael Hust, André Frenzel, Thomas Schirrmann, Stefan Dübel
      Pages 305-320

About this book

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.

Editors and Affiliations

  • Dept of Mathematics & Statistics, The College of New Jersey, Ewing, USA

    Michael F. Ochs

Bibliographic Information

  • Book Title: Gene Function Analysis

  • Editors: Michael F. Ochs

  • Series Title: Methods in Molecular Biology

  • DOI: https://doi.org/10.1007/978-1-62703-721-1

  • Publisher: Humana Totowa, NJ

  • eBook Packages: Springer Protocols

  • Copyright Information: Springer Science+Business Media, LLC 2014

  • Hardcover ISBN: 978-1-62703-720-4Published: 14 November 2013

  • Softcover ISBN: 978-1-4939-6063-7Published: 24 August 2016

  • eBook ISBN: 978-1-62703-721-1Published: 19 November 2013

  • Series ISSN: 1064-3745

  • Series E-ISSN: 1940-6029

  • Edition Number: 2

  • Number of Pages: XIII, 416

  • Number of Illustrations: 37 b/w illustrations, 86 illustrations in colour

  • Topics: Human Genetics, Gene Function

Buy it now

Buying options

eBook USD 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access