Life Science Engineering,Data Mining
Data Integration Systems in the Life Sciences
Common data models, elements, and standards
Ontology mappings and evolution
Large-scale data analysis for the life sciences
Architectures and data management techniques for the life sciences
Query processing and optimization for biological data
Biological data sharing and update propagation
Query formulation assistance for scientists
Modeling of life sciences data
Schema-matching in life sciences datasets
Privacy-preserving data integration and management
Data owner sensitive data sharing
Biomedical data integration issues in eScience
Laboratory information management systems in biology (including workflow systems)
Biomedical metadata management (including provenance)