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  • Book
  • © 2005

Genome Exploitation

Data Mining the Genome

Editors:

  1. J. Perry Gustafson

    1. USDA-ARS, University of Missouri, Columbia

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Randy Shoemaker

    1. USDA-ARS, Iowa State University, Ames

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. John W. Snape

    1. John Innes Centre, Norwich, England

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Comprises one of the few times that researchers in both plants and animals have worked together to create a seminal data resource

  • Includes supplementary material: sn.pub/extras

Part of the book series: Stadler Genetics Symposia Series (SGSS)

Sections

eBook USD 119.00
Price excludes VAT (USA)
  • ISBN: 978-0-387-24187-6
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 159.99
Price excludes VAT (USA)
Hardcover Book USD 179.99
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Table of contents (15 chapters)

  1. Front Matter

    Pages i-xvi
    PDF

  2. Rice Genome Sequencing and Data Mining Resources

    • Baltazar A. Antonio, Yoshiaki Nagamura, Nobukasu Namiki, Takashi Matsumoto, Takuji Sasaki
    Pages 1-12

  7. FCModeler

    • Julie A. Dickerson
    Pages 77-87

  8. Old Methods for New Ideas: Genetic Dissection of the Determinants of Gene Expression Levels

    • Kyunga Kim, Marilyn A. L. West, Richard W. Michelmore, Dina A. St. Clair, R. W. Doerge
    Pages 89-107

  9. Charting Contig-Component Relationships within the Triticeae

    • Gerard R. Lazo, Nancy Lui, Frank M. You, David D. Hummel, Shiaoman Chao, Olin D. Anderson
    Pages 109-120

  10. Protein Family Classification with Discriminant Function Analysis

    • Etsuko N. Moriyama, Junhyong Kim
    Pages 121-132

  11. Exploiting Natural Variation to Understand Gene Function in Pine

    • David B. Neale, Garth R. Brown
    Pages 133-144

  12. Merging Analyses of Predisposition and Physiology Towards Polygene Discovery

    • Daniel Pomp, Mark F. Allan, Stephanie R. Wesolowsk
    Pages 145-162

  13. Mining the EST Databases to Determine Evolutionary Events in the Legumes and Grasses

    • Jessica A. Schlueter, Phillip Dixon, Cheryl Granger, Randy C. Shoemaker
    Pages 163-181

  14. A Biologist’s View of Systems Integration Systems Biology

    • R. Lathigra, Y. He, R. R. Vines, E. K. Nordberg, B. W. S. Sobral
    Pages 183-196

  15. Alignment of Wheat and Rice Structural Genomics Resources

    • Daryl J. Somers, Sylvie Cloutier, Travis Banks
    Pages 197-210

  16. Computational Identification of Legume-Specific Genes

    • Michelle A. Graham, Kevin A. T. Silverstein, Steven B. Cannon, Kathryn A. VandenBosch
    Pages 211-225

  17. Back Matter

    Pages 227-252
    PDF
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About this book

Genome Exploitation: Data Mining the Genome is developed from the 23rd Stadler Genetic Symposium. This volume discusses and illustrates how scientists are going to characterize and make use of the massive amount of information being accumulated about the plant and animal genomes. Genome Exploitation: Data Mining the Genome is a state-of-the-art picture on mining the Genome databases. This is one of the few times that researchers in both plants and animals will be working together to create a seminal data resource.
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Keywords

  • Chromosome
  • DNA
  • Expression
  • Pathogen
  • bioinformatics
  • evolution
  • gene expression
  • genes
  • physiology
  • regulation
  • roots
  • sequence analysis
  • wheat
  • genetic engineering
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Editors and Affiliations

  • USDA-ARS, University of Missouri, Columbia

    J. Perry Gustafson

  • USDA-ARS, Iowa State University, Ames

    Randy Shoemaker

  • John Innes Centre, Norwich, England

    John W. Snape

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Bibliographic Information

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Access via your institution
eBook USD 119.00
Price excludes VAT (USA)
  • ISBN: 978-0-387-24187-6
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 159.99
Price excludes VAT (USA)
Hardcover Book USD 179.99
Price excludes VAT (USA)
Learn about institutional subscriptions