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In Silico Tools for Gene Discovery

  • Bing Yu
  • Marcus Hinchcliffe

Part of the Methods in Molecular Biology book series (MIMB, volume 760)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Jennifer H. Barrett, M. Dawn Teare
    Pages 19-33
  3. Jodie N. Painter, Dale R. Nyholt, Grant W. Montgomery
    Pages 35-52
  4. Yike Guo, Robin E.J. Munro, Dimitrios Kalaitzopoulos, Anita Grigoriadis
    Pages 53-71
  5. Andrea S. Foulkes, Kinman Au
    Pages 73-90
  6. Bing Yu, Changbin Zhang
    Pages 91-107
  7. Marcus Hinchcliffe, Paul Webster
    Pages 109-128
  8. Herman van Haagen, Barend Mons
    Pages 129-140
  9. Hugo P. Bastos, Bruno Tavares, Catia Pesquita, Daniel Faria, Francisco M. Couto
    Pages 141-157
  10. Philip Groth, Ulf Leser, Bertram Weiss
    Pages 159-173
  11. Martin Oti, Sara Ballouz, Merridee A. Wouters
    Pages 189-206
  12. Sissades Tongsima, Anunchai Assawamakin, Jittima Piriyapongsa, Philip J. Shaw
    Pages 207-221
  13. Rao Sethumadhavan, C. George Priya Doss, R. Rajasekaran
    Pages 239-250
  14. Dmitry Y. Oshchepkov, Victor G. Levitsky
    Pages 251-267
  15. Stephen Bustin, Anders Bergkvist, Tania Nolan
    Pages 283-306
  16. Stephan H. Bernhart
    Pages 307-323
  17. Catherine Mooney, Norman Davey, Alberto J.M. Martin, Ian Walsh, Denis C. Shields, Gianluca Pollastri
    Pages 341-353
  18. Back Matter
    Pages 355-365

About this book

Introduction

As functional genomics has become one of the major focuses in molecular biology, the need for more sophisticated tools to assist in the identification of the functionality of undefined genes and the correlation of DNA variants with a particular phenotype has increased greatly.  In Silico Tools for Gene Discovery collects many common and useful in silico tools available today.  The volume begins by investigating locus mapping information on linkage analysis, association mapping, integrative analysis, and exome analysis as well as tools for DNA marker selection, in silico PCR, and statistical analysis.  It continues with a section on gene discovery from a defined locus, including gene prioritization, knowledge tracking, and data mining, and concludes with several useful in silico tools presented for the functional characterization of genes, which include DNA sequencing analysis, variant characterization, as well as RNA and protein  analysis.  Written in the highly successful Methods in Molecular Biology™ series format, chapters include introductions to their respective topics, step-by-step, readily reproducible protocols, and vital notes on troubleshooting and avoiding known pitfalls.

 

Resourceful and easy to follow, In Silico Tools for Gene Discovery seeks to facilitate scientists with further key research on locus mapping, to accelerate gene identification, and to help ascertain the functionality of DNA variation.

Keywords

DNA variants Functional gene characterization Functional genomics Locus mapping Quantitative PCR Undefined genes

Editors and affiliations

  • Bing Yu
    • 1
  • Marcus Hinchcliffe
    • 2
  1. 1.Royal Prince Alfred Hospital, Dept. of Molecular & Clinical GeneticsUniversity of SydneyCamperdownAustralia
  2. 2.Royal Prince Alfred Hospital, Dept. Molecular & Clinical GeneticsUniversity of SydneyCamperdownAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-61779-176-5
  • Copyright Information Springer Science+Business Media, LLC 2011
  • Publisher Name Humana Press
  • eBook Packages Springer Protocols
  • Print ISBN 978-1-61779-175-8
  • Online ISBN 978-1-61779-176-5
  • Series Print ISSN 1064-3745
  • Series Online ISSN 1940-6029
  • Buy this book on publisher's site