Genomics & Informatics

Korea Genome Organization (한국유전체학회)
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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)
  • Received : 2015.07.30
  • Accepted : 2015.08.18
  • Published : 2015.09.30
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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.

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