Table of Contents

Concepts, Issues, and Approaches.- Biomedical Informatics for Cancer Research: Introduction.- Clinical Research Systems and Integration with Medical Systems.- Data Management, Databases, and Warehousing.- Middleware Architecture Approaches for Collaborative Cancer Research.- Federated Authentication.- Genomics Data Analysis Pipelines.- Mathematical Modeling in Cancer.- Reproducible Research Concepts and Tools for Cancer Bioinformatics.- The Cancer Biomedical Informatics Grid (caBIG‚): An Evolving Community for Cancer Research.- Tools and Applications.- The caBIG‚ Clinical Trials Suite.- The CAISIS Research Data System.- A Common Application Framework that is Extensible: CAF-É.- Shared Resource Management.- The caBIG® Life Sciences Distribution.- MeV: MultiExperiment Viewer.- Authentication and Authorization in Cancer Research Systems.- Caching and Visualizing Statistical Analyses.- Familial Cancer Risk Assessment Using BayesMendel.- Interpreting and Comparing Clustering Experiments Through Graph Visualization and Ontology Statistical Enrichment with the ClutrFree Package.- Enhanced Dynamic Documents for Reproducible Research.