Genome Exploitation
Data Mining the Genome
Published on 16. November 2005
Book
Hardback
XVI, 252 pages
978-0-387-24123-4 (ISBN)
Description
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.
More details
Series
Edition
2005 ed.
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Illustrations
XVI, 252 p.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 22 mm
Weight
626 gr
ISBN-13
978-0-387-24123-4 (9780387241234)
DOI
10.1007/b104751
Schweitzer Classification
Other editions
Additional editions
Book
09/2011
Springer
€106.99
Shipment within 15-20 days
E-Book
05/2007
1st Edition
Springer
€96.29
Available for download
Content
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.