Genomics Inform Search

CLOSE


Genomics Inform > Volume 4(1); 2006 > Article
XPERNATO-TOX: an Integrated Toxicogenomics Knowledgebase.
Jung Hoon Woo, Hyeoun Eui Kim, Gu Kong, Ju Han Kim
1Seoul National University Biomedical Informatics (SNUBI), Korea. juhan@snu.ac.kr
2Graduate Program in Health Informatics, University of Minnesota, Minneapolis, MN 55455, USA.
3Department of Pathology, College of Medicine and Molecular Biomarker Research Center, Hanyang University, Seoul, Korea.
4Human Genome Research Institute, Seoul National University College of Medicine, Seoul, Korea.
Abstract
Toxicogenomics combines transcriptome, proteome and metabolome profiling with conventional toxicology to investigate the interaction between biological molecules and toxicant or environmental stress in disease caution. Toxicogenomics faces the problems of comparison and integration across different sources of data. Cause of unusual characteristics of toxicogenomic data, researcher should be assisted by data analysis and annotation for getting meaningful information. There are already existing repositories which claim to stand for toxicogenomics database. However, those just contain limited abilities for toxicogenomic research. For supporting toxicologist who comes up against toxicogenomic data flood, now we propose novel toxicogenomics knowledgebase system, XPERANTO-TOX. XPERANTO-TOX is an integrated system for toxicogenomic data management and analysis. It is composed of three distinct but closely connected parts. Firstly, Data Storage System is for reposit many kinds of '-omics' data and conventional toxicology data. Secondly, Data Analysis System consists of analytical modules for integrated toxicogenomics data. At last, Data Annotation System is for giving extensive insight of data to researcher.
Keywords: toxicogenomics; data comparison; integration; analysis; annotation; knowledgebase
TOOLS
Share :
Facebook Twitter Linked In Google+
METRICS Graph View
  • 1,011 View
  • 12 Download
Related articles in GNI


ABOUT
ARTICLE CATEGORY

Browse all articles >

BROWSE ARTICLES
FOR CONTRIBUTORS
Editorial Office
Room No. 806, 193 Mallijae-ro, Jung-gu, Seoul 04501, Korea
Tel: +82-2-558-9394    Fax: +82-2-558-9434    E-mail: kogo3@kogo.or.kr                

Copyright © 2022 by Korea Genome Organization.

Developed in M2PI

Close layer
prev next