Tumor Profile Discovery and Tumor Bank Management with DORA
- Adrian Driga
- Russ Greiner, Dept of Computing Science; PI of AICML
- Kathryn Graham
- Sambasivarao Damaraju, Cross Cancer Institute
- David S. Wishart, Departments of Computing Science and Biology, University of Alberta
- John Mackey, Cross Cancer Institute
- Carol Cass, Cross Cancer Institute
DORA (Database for Online Retrieval and Analysis) is a web-accessible medical and laboratory information management system (LIMS), through which clinical, microarray, SNP, and metabonomic information from PolyomX-consented patients is stored, retrieved, managed, and analyzed. DORA is designed for data warehousing and has a flexible relational database architecture that can be readily scaled up to accommodate clinical data from new cancer types, or experimental data from new laboratory assays. PolyomX currently collects clinical and molecular data for four cancer types: breast, lung, ovarian, and gastric.
Citation
A. Driga, R. Greiner, K. Graham, S. Damaraju, D. Wishart, J. Mackey, C. Cass. "Tumor Profile Discovery and Tumor Bank Management with DORA". ACB Annual Research Meeting, Banff, September 2003.Keywords: | tumor, profile, DORA, PolyomX, bioinformatics, PolyomX, machine learning |
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BibTeX
@incollection{Driga+al:ACBAnnualMeeting03, author = {Adrian Driga and Russ Greiner and Kathryn Graham and Sambasivarao Damaraju and David S. Wishart and John Mackey and Carol Cass}, title = {Tumor Profile Discovery and Tumor Bank Management with DORA}, booktitle = {ACB Annual Research Meeting, Banff}, year = 2003, }Last Updated: May 30, 2007
Submitted by Staurt H. Johnson