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The intelligent data management system for toxicogenomics

Authors :
Ki-Seon Jeon
Jong-Soo Kang
Seung Jun Kim
Yangseok Kim
J. E. Park
Gyoum-Jung Lee
Seok-Il Hong
Chan-Hwi Um
Yong-Hyun Kim
Yong-Soon Lee
Kyung-Sun Kang
Chan-Dong Yeo
Wan-Seon Lee
Jae-Woong Hwang
Seung Yong Hwang
Gyoung-Jae Lee
J. Kim
Source :
The Journal of veterinary medical science. 66(11)
Publication Year :
2004

Abstract

Toxicogenomics is now emerging as one of the most important genomic application because the toxicity test based on gene expression profiles is expected to be more precise and efficient than current histopathological approaches in a pre-clinical phase. One of the challenging issues in toxicogenomics is the construction of intelligent database management system which can deal with heterogeneous and complex data from many different experimental and information sources. TEST(Toxicogenomics for Efficient Safety Test) database is especially focused on the connectivity of heterogeneous data and the intelligent query system which enable users to obtain relevant useful information from the complex data sets. The database deals with four kinds of information; compound, histopathology, gene expression, and annotation information. Currently, TEST database maintains toxicogenomics information for 16 compounds, 45 microarrays, 190 animal experiments, and customized 4.8 K rat clone set. Our presented system is expected to be a good information source for studying of toxicology mechanism in the genome-wide level and can also be applied to the designing toxicity test chip.

Details

ISSN :
09167250
Volume :
66
Issue :
11
Database :
OpenAIRE
Journal :
The Journal of veterinary medical science
Accession number :
edsair.doi.dedup.....28cd5cdf3027977920b889b7fc2cbe5f