GraPT: Genomic InteRpreter about Predictive Toxicology

  • Woo Jung-Hoon (Seoul National University Biomedical Informatics(SNUBI), Interdisciplinary Program in Bioinformatics, Seoul National University) ;
  • Park Yu-Rang (Seoul National University Biomedical Informatics(SNUBI)) ;
  • Jung Yong (Seoul National University Biomedical Informatics(SNUBI)) ;
  • Kim Ji-Hun (Seoul National University Biomedical Informatics(SNUBI)) ;
  • Kim Ju-Han (Seoul National University Biomedical Informatics(SNUBI), Human Genome Research Institute, Seoul National University College of Medicine)
  • Published : 2006.09.01

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.

Keywords

References

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