|
KMID : 1034820070030030208
|
|
Molecular & Cellular Toxicology
2007 Volume.3 No. 3 p.208 ~ p.213
|
|
|
SOP (Search of Omics Pathway): A Web-based Tool for Visualization of KEGG Pathway Diagrams of Omics Data
|
|
Kim Jun-Sub
Yeom Hye-Jung
Kim Seung-Jun
Kim Ji-Hoon
Park Hye-Won
Oh Moon-Ju
Hwang Seung-Yong
|
|
|
Abstract
|
|
|
|
With the help of a development and popularization of microarray technology that enable to us to simultaneously investigate the expression pattern of thousands of genes, the toxicogenomics experimenters can interpret the genome-scale interaction between genes exposed in toxicant or toxicant-related environment. The ultimate and primary goal of toxicogenomics identifies functional context among the group of genes that are differentially or similarly coexpressed under the specific toxic substance. On the other side, public reference databases with transcriptom, proteom, and biological pathway information are needed for the analysis of these complex omics data. However, due to the heterogeneous and independent nature of these databases, it is hard to individually analyze a large omics annotations and their pathway information. Fortunately, several web sites of the public database provide information linked to other. Nevertheless it involves not only approriate information but also unnecessary information to users. Therefore, the systematically integrated database that is suitable to a demand of experimenters is needed. For these reasons, we propose SOP (Search of Omics Pathway) database system which is constructed as the integrated biological database converting heterogeneous feature of public databases into combined feature. In addition, SOP offers user-friendly web interfaces which enable users to submit gene queries for biological interpretation of gene lists derived from omics experiments. Outputs of SOP web interface are supported as the omics annotation table and the visualized pathway maps of KEGG PATHWAY database. We believe that SOP will appear as a helpful tool to perform biological interpretation of genes or proteins traced to omics experiments, lead to new discoveries from their pathway analysis, and design new hypothesis for a next toxicogenomics experiments.
|
|
|
KEYWORD
|
|
|
Database, KEGG, Omics, Pathway, Toxicogenomics
|
|
|
FullTexts / Linksout information
|
|
|
|
|
|
Listed journal information
|
|
|
|
|