Genome Exploitation: Data Mining the Genome

Author:   J. Perry Gustafson ,  Randy Shoemaker ,  John W. Snape
Publisher:   Springer-Verlag New York Inc.
Edition:   2005
ISBN:  

9781441936912


Pages:   252
Publication Date:   17 September 2011
Format:   Paperback
Availability:   Awaiting stock   Availability explained
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.

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Genome Exploitation: Data Mining the Genome


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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
Weight:   0.415kg
ISBN:  

9781441936912


ISBN 10:   1441936912
Pages:   252
Publication Date:   17 September 2011
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Awaiting stock   Availability explained
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.

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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