title: A Database of Gene Expression Profiles of Korean Cancer Genome.
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.
authors.affiliation: Medical Genomics Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 34141, Korea. ; Korean Bioinformation Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 34141, Korea. ; Department of Bioinformatics, Korea University of Science and Technology, Daejeon 34131, Korea.
authors.forename: Seon-Kyu
authors.initials: SK
authors.lastname: Kim
authors.affiliation: Korean Bioinformation Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 34141, Korea. ; Department of Bioinformatics, Korea University of Science and Technology, Daejeon 34131, Korea.
authors.forename: In-Sun
authors.initials: IS
authors.lastname: Chu
keywords: Korean; biological markers; database; genomics; neoplasms; prognosis