Overview

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.

Full Product Details

Author:   J. Perry Gustafson ,  Randy Shoemaker ,  John W. Snape
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   2005 ed.
Dimensions:   Width: 15.50cm , Height: 1.80cm , Length: 23.50cm
Weight:   0.694kg
ISBN:  

9780387241234

ISBN 10:   038724123
Pages:   252
Publication Date:   16 November 2005
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock  
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Rice Genome Sequencing and Data Mining Resources.- Application of Evolutionary Computation to Bioinformatics.- Architectures for Integration of Data and Applications.- Functional Genomics Approach to Elucidate the Regulation of Vascular Development in Poplar.- Novel Tools for Plant Genome Annotation and Applications to Arabidopsis and Rice.- FCModeler.- Old Methods for New Ideas: Genetic Dissection of the Determinants of Gene Expression Levels.- Charting Contig-Component Relationships within the Triticeae.- Protein Family Classification with Discriminant Function Analysis.- Exploiting Natural Variation to Understand Gene Function in Pine.- Merging Analyses of Predisposition and Physiology Towards Polygene Discovery.- Mining the EST Databases to Determine Evolutionary Events in the Legumes and Grasses.- A Biologist’s View of Systems Integration Systems Biology.- Alignment of Wheat and Rice Structural Genomics Resources.- Computational Identification of Legume-Specific Genes.

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