A Database of Gene Expression Profiles of Korean Cancer Genome

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...

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Main Authors: Seon-Kyu Kim, In-Sun Chu
Format: Article
Language:English
Published: Korea Genome Organization 2015-09-01
Series:Genomics & Informatics
Subjects:
Online Access:http://genominfo.org/upload/pdf/gni-13-86.pdf
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author Seon-Kyu Kim
In-Sun Chu
author_facet Seon-Kyu Kim
In-Sun Chu
author_sort Seon-Kyu Kim
collection DOAJ
description 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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spelling doaj.art-ff2ec338974e44df95ee094d8bc5f81c2022-12-22T02:56:51ZengKorea Genome OrganizationGenomics & Informatics1598-866X2234-07422015-09-01133868910.5808/GI.2015.13.3.86158A Database of Gene Expression Profiles of Korean Cancer GenomeSeon-Kyu Kim0In-Sun Chu1Medical 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.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.http://genominfo.org/upload/pdf/gni-13-86.pdfbiological markersdatabasegenomicsKoreanneoplasmsprognosis
spellingShingle Seon-Kyu Kim
In-Sun Chu
A Database of Gene Expression Profiles of Korean Cancer Genome
Genomics & Informatics
biological markers
database
genomics
Korean
neoplasms
prognosis
title A Database of Gene Expression Profiles of Korean Cancer Genome
title_full A Database of Gene Expression Profiles of Korean Cancer Genome
title_fullStr A Database of Gene Expression Profiles of Korean Cancer Genome
title_full_unstemmed A Database of Gene Expression Profiles of Korean Cancer Genome
title_short A Database of Gene Expression Profiles of Korean Cancer Genome
title_sort database of gene expression profiles of korean cancer genome
topic biological markers
database
genomics
Korean
neoplasms
prognosis
url http://genominfo.org/upload/pdf/gni-13-86.pdf
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