Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

GEMiCCL

General information

URL: https://www.kobic.kr/GEMICCL
Full name: Gene Expression and Mutations in Cancer Cell Lines
Description: Cancer cell lines are essential components for biomedical research. However, proper choice of cell lines for experimental purposes is often difficult because genotype and/or expression data are missing or scattered in diverse resources. GEMiCCL (Gene Expression and Mutations in Cancer Cell Lines) is an online database of human cancer cell lines that provides genotype and expression information. The mutation, gene expression, and copy number variation (CNV) data were collected from three representative databases on cell lines – CCLE (Cancer Cell Line Encyclopedia), COSMIC (Catalogue of Somatic Mutations in Cancer), and NCI60. We re-processed the entire gene expression and SNP chip data and removed the batch effects due to different microarray platforms using the ComBat software.
Year founded: 2018
Last update:
Version:
Accessibility:
Accessible
Country/Region: Korea, Republic of

Classification & Tag

Data type:
DNA
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: Ewha Womans University
Address: Department of Bio-Information Science, Ewha Womans University, Seoul 03760, Republic of Korea.
City:
Province/State:
Country/Region: Korea, Republic of
Contact name (PI/Team): Sanghyuk Lee
Contact email (PI/Helpdesk): sanghyuk@ewha.ac.kr

Publications

29726944
GEMiCCL: mining genotype and expression data of cancer cell lines with elaborate visualization. [PMID: 29726944]
Inhae Jeong, Namhee Yu, Insu Jang, Yukyung Jun, Min-Seo Kim, Jinhyuk Choi, Byungwook Lee, Sanghyuk Lee

Database URL: GEMiCCL is available at https://www.kobic.kr/GEMICCL/.

Database (Oxford). 2018:2018() | 6 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
5579/6895 (19.101%)
Genotype phenotype and variation:
803/1005 (20.199%)
Expression:
1124/1347 (16.63%)
Health and medicine:
1421/1738 (18.297%)
5579
Total Rank
6
Citations
0.857
z-index

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Record metadata

Created on: 2019-10-26
Curated by:
Lin Liu [2021-03-25]
irfan Hussain [2019-10-26]