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Published Articles >> Table of Contents >> Abstract
IEEE Computer Society Bioinformatics Conference (CSB'03)
p. 132
A Personalized and Automated dbSNP Surveillance System
Shuo Liu, Stanford Medical Informatics
Steve Lin, Stanford Medical Informatics
Mark Woon, Stanford Medical Informatics
Teri E. Klein, Stanford Medical Informatics
Russ B. Altman, Stanford Medical Informatics
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSB.2003.1227312
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| Abstract |
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The development of high throughput techniques and large-scale studies in the biological sciences has given rise to an explosive growth in both the volume and types of data available to researchers. A surveillance system that monitors data repositories and reports changes helps manage the data overload. We developed a dbSNP surveillance system (URL: http://www.pharmgkb.org/do /serve?id=tools.surveillance.dbsnp) that performs surveillance on the dbSNP database and alerts users to new information. The system is notable because it is personalized and fully automated. Each registered user has a list of genes to follow and receives notification of new entries concerning these genes. The system integrates data from dbSNP, LocusLink, PharmGKB, and Genbank to position SNPs on reference sequences and classify SNPs into categories such as synonymous and non-synonymous SNPs. The system uses data warehousing, object model-based data integration, object-oriented programming, and a platform-neutral data access mechanism.
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Citation:
Shuo Liu, Steve Lin, Mark Woon, Teri E. Klein, Russ B. Altman,
"A Personalized and Automated dbSNP Surveillance System,"
csb,
p. 132,
IEEE Computer Society Bioinformatics Conference (CSB'03),
2003
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