TY - GEN
T1 - SNPMiner
T2 - 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE
AU - Wang, Fan
AU - Agrawal, Gagan
AU - Jin, Ruoming
AU - Piontkivska, Helen
PY - 2007
Y1 - 2007
N2 - In this paper, we propose a novel query-oriented, mediator-based biological data querying tool, SNPMiner. The system searches and queries Single Nucleotide Polymorphisms (SNPs) data from eight widely used web accessible databases. The system provides a domain-specific search utility, which can access and collect data from the deep web. This is a web-based system, so any user can use the system by accessing our server from their own computers. The system includes three important components, which are the web server interface, the dynamic query planner, and the web page parser. The web server interface can provide end users a unified and friendly interface. The dynamic query planner can automatically schedule an efficient query order on all available databases according to user's query request. The web page parser analyzes the layout of HTML files and extracts desired data from those files. The final results of the query are organized in a tabular format, which can be reviewed by a biological researcher.
AB - In this paper, we propose a novel query-oriented, mediator-based biological data querying tool, SNPMiner. The system searches and queries Single Nucleotide Polymorphisms (SNPs) data from eight widely used web accessible databases. The system provides a domain-specific search utility, which can access and collect data from the deep web. This is a web-based system, so any user can use the system by accessing our server from their own computers. The system includes three important components, which are the web server interface, the dynamic query planner, and the web page parser. The web server interface can provide end users a unified and friendly interface. The dynamic query planner can automatically schedule an efficient query order on all available databases according to user's query request. The web page parser analyzes the layout of HTML files and extracts desired data from those files. The final results of the query are organized in a tabular format, which can be reviewed by a biological researcher.
UR - http://www.scopus.com/inward/record.url?scp=47649100510&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=47649100510&partnerID=8YFLogxK
U2 - 10.1109/BIBE.2007.4375564
DO - 10.1109/BIBE.2007.4375564
M3 - Conference contribution
AN - SCOPUS:47649100510
SN - 1424415098
SN - 9781424415090
T3 - Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE
SP - 192
EP - 199
BT - Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE
Y2 - 14 January 2007 through 17 January 2007
ER -