An object-oriented DBMS war story: developing a genome mapping database in C++
Modern database systems
Research problems in data warehousing
CIKM '95 Proceedings of the fourth international conference on Information and knowledge management
The object database standard: ODMG 2.0
The object database standard: ODMG 2.0
TAMBIS: Transparent Access to Multiple Bioinformatics Information Sources
ISMB '98 Proceedings of the 6th International Conference on Intelligent Systems for Molecular Biology
A Data Transformation System for Biological Data Sources
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Extending the ODMG Architecture with a Deductive Object Query Language
BNCOD 16 Proceedings of the 16th British National Conferenc on Databases: Advances in Databases
Constructing and Maintaining Scientific Database Views in the Framework of the Object-Protocol Model
SSDBM '97 Proceedings of the Ninth International Conference on Scientific and Statistical Database Management
DEXA '01 Proceedings of the 12th International Conference on Database and Expert Systems Applications
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Genome sequencing projects are making available to scientists complete records of the genetic make-up of organisms. The resulting data sets, along with the results of experiments that seek systematically to find new information on the functions of genes, will present numerous opportunities and challenges to biologists. However, the complexity and variety of both the data and the analyses required over such data sets also pose significant challenges to computer scientists charged with providing effective information management systems for use with genome data. This paper presents models for the sorts of information that are being produced on genomes and genome-wide experiments, and outlines a project developing an information management system aimed at supporting analyses over genomic data. This information management system replicates data from other sources, with a view to providing an integrated environment for performing complex analyses.