Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

CGGA

General information

URL: http://www.cgga.org.cn
Full name: Chinese Glioma Genome Altas
Description: The CGGA database is a user-friendly web application for data storage and analysis to explore brain tumors datasets over 2,000 samples from Chinese cohorts.
Year founded: 2021
Last update:
Version:
Accessibility:
Manual:
Accessible
Country/Region: China

Classification & Tag

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Contact information

University/Institution: Capital Medical University
Address: No. 119 South Fourth Ring West Road, Fengtai District, Beijing 100070, P.R. China
City: Beijing
Province/State: Beijing
Country/Region: China
Contact name (PI/Team): Tao Jiang
Contact email (PI/Helpdesk): taojiang1964@163.com

Publications

33662628
Chinese Glioma Genome Atlas (CGGA): A Comprehensive Resource with Functional Genomic Data from Chinese Glioma Patients. [PMID: 33662628]
Zheng Zhao, Ke-Nan Zhang, Qiangwei Wang, Guanzhang Li, Fan Zeng, Ying Zhang, Fan Wu, Ruichao Chai, Zheng Wang, Chuanbao Zhang, Wei Zhang, Zhaoshi Bao, Tao Jiang

Gliomas are the most common and malignant intracranial tumors in adults. Recent studies have revealed the significance of functional genomics for glioma pathophysiological studies and treatments. However, access to comprehensive genomic data and analytical platforms is often limited. Here, we developed the Chinese Glioma Genome Atlas (CGGA), a user-friendly data portal for the storage and interactive exploration of cross-omics data, including nearly 2000 primary and recurrent glioma samples from Chinese cohort. Currently, open access is provided to whole-exome sequencing data (286 samples), mRNA sequencing (1018 samples) and microarray data (301 samples), DNA methylation microarray data (159 samples), and microRNA microarray data (198 samples), and to detailed clinical information (age, gender, chemoradiotherapy status, WHO grade, histological type, critical molecular pathological information, and survival data). In addition, we have developed several tools for users to analyze the mutation profiles, mRNA/microRNA expression, and DNA methylation profiles, and to perform survival and gene correlation analyses of specific glioma subtypes. This database removes the barriers for researchers, providing rapid and convenient access to high-quality functional genomic data resources for biological studies and clinical applications. CGGA is available at http://www.cgga.org.cn.

Genomics Proteomics Bioinformatics. 2021:19(1) | 437 Citations (from Europe PMC, 2024-12-21)

Ranking

All databases:
101/6266 (98.404%)
Expression:
15/1210 (98.843%)
Modification:
6/298 (98.322%)
Health and medicine:
24/1498 (98.465%)
101
Total Rank
382
Citations
127.333
z-index

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Record metadata

Created on: 2019-07-01
Curated by:
Zhang Zhang [2022-08-12]
Lin Liu [2022-06-20]
Qianpeng Li [2022-04-18]
Lina Ma [2019-07-01]