A Database of Gene Expression Profiles of Korean Cancer Genome.
- Author:
Seon Kyu KIM
1
;
In Sun CHU
Author Information
- Publication Type:Original Article
- Keywords: biological markers; database; genomics; Korean; neoplasms; prognosis
- MeSH: Computational Biology; Gene Expression*; Genome*; Genomics; Humans; Prognosis; Proportional Hazards Models; Transcriptome*; Treatment Outcome; Biomarkers
- From:Genomics & Informatics 2015;13(3):86-89
- CountryRepublic of Korea
- Language:English
- 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.
