Omics Data Analysis Using SOP (Search of Omics Pathway) Web … · 2009-11-17 · Omics Data...
Transcript of Omics Data Analysis Using SOP (Search of Omics Pathway) Web … · 2009-11-17 · Omics Data...
Omics Data Analysis Using SOP (Search of Omics Pathway) Web Tool
Seung Yong Lee1, Jun-Sub Kim2, Seung-Jun Kim1,2, Ji-Hoon Kim2,
[email protected], [email protected], [email protected], [email protected] Hye-Won Park1,3 , Yu Ri An1, Moon-Ju Oh2, Seung Yong Hwang1,2*
[email protected] [email protected] [email protected] [email protected]
1 Department of Biochemistry, Hanyang University, Sangrok-gu, Ansan, Gyeonggi-do, Korea 2 GenoCheck Co. Ltd., Sangrok-gu, Ansan, Gyeonggi-do, Korea
3 Department of Bionanotechnology, Hanyang University, Sangrok-gu, Ansan, Gyeonggi-do, Korea
Keywords: Database, KEGG Pathway, Omics, Toxicogenomics, Web tool 1 Introduction
Omics is a term of concept including a large-scale data in biology. Toxicogenomics is paid more attention to many researchers to investigating the genome-scale genes/proteins interaction, expression pattern and function in exposed state to specific toxicant or toxicant-related environment. The ultimate goal of toxicogenomics identifies functional context among the group of genes that are differentially or similarly coexpressed under the specific toxic substance. For these reasons, many omics databases including gene/protein annotation, function and metabolic pathway information are required to researchers, but these databases are heterogeneous and independent. 2 Method and Results
It is hard to analyze a large omics annotations and their pathway information at once. Therefore we propose SOP (Search of Omics Pathway) database system which is constructed as the integrated biological database and web tool (http://www.koreagene.co.kr/omics/sop/). The data of SOP web interface are supported as the genes/prteins annotation web table and the visualized pathway maps of KEGG PATHWAY database..
Figure 1: Schematic overview of SOP database system. Server-side DB layer was manipulated by Perl and MySQL. Server-side software layer is written in Perl for compiling user query and executing command. Client-side layer gets
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