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KMID : 1132720150130030086
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Genomics & Informatics
2015 Volume.13 No. 3 p.86 ~ p.89
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A Database of Gene Expression Profiles of Korean Cancer Genome
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Kim Seon-Kyu
Chu In-Sun
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Abstract
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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.
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KEYWORD
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biological markers, database, genomics, Korean, neoplasms, prognosis
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