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http://dx.doi.org/10.5808/GI.2015.13.3.86

A Database of Gene Expression Profiles of Korean Cancer Genome  

Kim, Seon-Kyu (Medical Genomics Research Center, Korea Research Institute of Bioscience and Biotechnology)
Chu, In-Sun (Korean Bioinformation Center, Korea Research Institute of Bioscience and Biotechnology)
Publication Information
Genomics & Informatics / v.13, no.3, 2015 , pp. 86-89 More about this Journal
Abstract
Because there are clear molecular differences entailing different treatment effectiveness between Korean and non-Korean cancer patients, identifying distinct molecular characteristics of Korean cancers is profoundly important. Here, we report a web-based data repository, namely Korean Cancer Genome Database (KCGD), for searching gene signatures associated with Korean cancer patients. Currently, a total of 1,403 cancer genomics data were collected, processed and stored in our repository, an ever-growing database. We incorporated most widely used statistical survival analysis methods including the Cox proportional hazard model, log-rank test and Kaplan-Meier plot to provide instant significance estimation for searched molecules. As an initial repository with the aim of Korean-specific marker detection, KCGD would be a promising web application for users without bioinformatics expertise to identify significant factors associated with cancer in Korean.
Keywords
biological markers; database; genomics; Korean; neoplasms; prognosis;
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