Data Mining the Genomes, is the 23rd volume of the Stadler Symposia series published by Springer, which have served over many years as a comprehensive collection of current trends and emerging hot topics in the field of genetics. Data Mining the Genomes summarizes the progress in bioinformatics and computational biology in data mining the vast amount of exciting information emerging from studies of plant and animal genomes, with authoritative analytical reviews specialized enough to be attractive to professional researchers, yet also appealing to the wider audience of scientists in related disciplines.

"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. TOC:From the 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.