GraPT: Genomic InteRpreter about Predictive Toxicology.
- Author:
Jung Hoon WOO
1
;
Yu Rang PARK
;
Yong JUNG
;
Ji Hun KIM
;
Ju Han KIM
Author Information
1. Seoul National University Biomedical Informatics(SNUBI), Seoul, Korea. juhan@snu.ac.kr
- Publication Type:Original Article
- Keywords:
toxicogenomics;
predictive toxicology;
high-dimensional data;
toxicant enrichment analysis;
web-based system;
prediction;
toxic endpoints
- MeSH:
Oligonucleotide Array Sequence Analysis;
Toxicogenetics;
Toxicology*
- From:Genomics & Informatics
2006;4(3):129-132
- CountryRepublic of Korea
- Language:English
-
Abstract:
Toxicogenomics has recently emerged in the field of toxicology and the DNA microarray technique has become common strategy for predictive toxicology which studies molecular mechanism caused by exposure of chemical or environmental stress. Although microarray experiment offers extensive genomic information to the researchers, yet high dimensional characteristic of the data often makes it hard to extract meaningful result. Therefore we developed toxicant enrichment analysis similar to the common enrichment approach. We also developed web-based system graPT to enable considerable prediction of toxic endpoints of experimental chemical.
