The integration of proteome information is one of the key issues in proteomics research. There are currently several proteome databases which provide proteome information such as Swiss-Prot, PDB, and SRS. However, each proteome database system supports only simple inquiries on the proteome information of its database. In order to enhance the analysis support capability of proteome information, this paper proposes a data warehouse system which constructs proteome data by integrating diverse protein information along with clinical and experiment information produced in various methods in order to enhance the analysis support capability of proteome information. Based on the proteome data warehouse, OLAP and exception discovery queries are carried out. Therefore, complex multidimensional analysis is feasible for highly systematized proteome data in a proteome data warehouse. Furthermore, various analysis results which integrate experiment information, clinical information, image information, and spot information of proteins are provided.
Bibliographical noteFunding Information:
This work was supported by Grant No. R01-2006-000-11223-0 from the Basic Research Program of the Korea Science and Engineering Foundation and by the Ministry of Education Human Resources Development (MOE), the Ministry of Commerce, Industry (MOCIE) and Energy and the Ministry of Labor (MOLAB) through the fostering project of the Lab of Excellency.
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Artificial Intelligence