On supporting containment queries in relational database management systems
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Relational Databases for Querying XML Documents: Limitations and Opportunities
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Indexing and Querying XML Data for Regular Path Expressions
Proceedings of the 27th International Conference on Very Large Data Bases
A Data Transformation System for Biological Data Sources
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Kleisli: Its Exchange Format, Supporting Tools, and an Application in Protein Interaction Extraction
BIBE '00 Proceedings of the 1st IEEE International Symposium on Bioinformatics and Biomedical Engineering
HyperThesis: the gRNA spell on the curse of bioinformatics applications integration
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Managing structural genomic workflows using web services
Data & Knowledge Engineering - Special issue: Biological data management
Using ontologies for preprocessing and mining spectra data on the grid
Future Generation Computer Systems - Special section: Data mining in grid computing environments
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The evolving challenges in lifesciences research cannot be all addressed by off-the-shelf bioinformatics applications. Life scientists need to analyze their data using novel or context-sensitive approaches that might be published in recent journals and publications, or based on their own hypotheses and assumptions. The genomics Research Network Architecture (gRNA) is a highly programmable, modular environment specially designed to invigorate the development of genomics-centric tools for life sciences-research. The gRNA provides the development environment in which new applications can be quickly written, and the deployment environment in which they can systematically avail of computing resources and integrate information from distributed biological data sources.