Database development in toxicogenomics: issues and efforts.
Open Access
- 1 March 2004
- journal article
- review article
- Published by Environmental Health Perspectives in Environmental Health Perspectives
- Vol. 112 (4), 495-505
- https://doi.org/10.1289/ehp.6697
Abstract
The marriage of toxicology and genomics has created not only opportunities but also novel informatics challenges. As with the larger field of gene expression analysis, toxicogenomics faces the problems of probe annotation and data comparison across different array platforms. Toxicogenomics studies are generally built on standard toxicology studies generating biological end point data, and as such, one goal of toxicogenomics is to detect relationships between changes in gene expression and in those biological parameters. These challenges are best addressed through data collection into a well-designed toxicogenomics database. A successful publicly accessible toxicogenomics database will serve as a repository for data sharing and as a resource for analysis, data mining, and discussion. It will offer a vehicle for harmonizing nomenclature and analytical approaches and serve as a reference for regulatory organizations to evaluate toxicogenomics data submitted as part of registrations. Such a database would cap...Keywords
This publication has 37 references indexed in Scilit:
- Toxicogenomics in risk assessment: an overview of an HESI collaborative research program.Environmental Health Perspectives, 2004
- ArrayTrack--supporting toxicogenomic research at the U.S. Food and Drug Administration National Center for Toxicological Research.Environmental Health Perspectives, 2003
- Microarray databases: standards and ontologiesNature Genetics, 2002
- Standards for Microarray DataScience, 2002
- Microarray standards at lastNature, 2002
- CGO: utilizing and integrating gene expression microarray data in clinical research and data managementBioinformatics, 2002
- Gene Expression Omnibus: NCBI gene expression and hybridization array data repositoryNucleic Acids Research, 2002
- Assessing Gene Significance from cDNA Microarray Expression Data via Mixed ModelsJournal of Computational Biology, 2001
- A NEWAPPROACH TODECODINGLIFE: Systems BiologyAnnual Review of Genomics and Human Genetics, 2001