Genome Exploitation

1. Front Matter

   Pages i-xvi

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2. Rice Genome Sequencing and Data Mining Resources

   • Baltazar A. Antonio, Yoshiaki Nagamura, Nobukasu Namiki, Takashi Matsumoto, Takuji Sasaki

   Pages 1-12

3. Application of Evolutionary Computation to Bioinformatics

   • Daniel Ashlock

   Pages 13-30

4. Architectures for Integration of Data and Applications

   • William D. Beavis

   Pages 31-47

5. Functional Genomics Approach to Elucidate the Regulation of Vascular Development in Poplar

   • Rishikesh P. Bhalerao, Göran Sandberg

   Pages 49-62

6. Novel Tools for Plant Genome Annotation and Applications to Arabidopsis and Rice

   • Volker Brendel

   Pages 63-76

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

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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.

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

• 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

Policies and ethics