Overview
Welcome to CGGA - the Chinese Glioma Genome Atlas! 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. This database includes the whole-exome sequencing (286), DNA methylation (159), mRNA sequencing (1,018), mRNA microarray (301) and microRNA microarray (198) and matched clinical data. The analyse tool allows users to browse DNA mutation profile, mRNA/micorRNA expression profile and methylation profile, and to do correlation and survival analysis in specific glioma subtype.
News
- Update clinical information (May 6, 2020)
- Update clinical information (November 28, 2019)
- Add download statistics tool in download page (October 21, 2019)
- Raw sequencing data were submitted to BIGD database (October 1, 2019)
- Update to provide data presentation and R code in analysis results (September 27, 2019)
- Update clinical information (September 9, 2019)
- Website started to build (June 7, 2019)
Statistics
| Dataset | Data Type | Sample Number | Clinical Data | Analyse | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| #total | #pLGG | #rLGG | #pGBM | #rGBM | #sGBM | histology | grade | age | gender | therapy | survival | ||||
| WEseq_286 | WESeq | 286 | 126 | 58 | 54 | 48 | 0 | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | |
| mRNAseq_693 (batch 1) |
RNA-seq | 693 | 282 | 161 | 140 | 109 | 0 | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | |
| mRNAseq_325 (batch 2) |
RNA-seq | 325 | 144 | 38 | 85 | 24 | 30 | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | |
| mRNA-array_301 | Microarray | 301 | 156 | 18 | 108 | 5 | 11 | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | |
| methyl_159 | Microarray | 159 | 100 | 8 | 33 | 4 | 6 | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | |
| microRNA-array_198 | Microarry | 198 | 99 | 8 | 81 | 4 | 6 | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | |
Features
Analyse the WEseq data
Analyse the mRNA data
- Browse expression pattern of interest of gene in a specific dataset
- Browse co-expression pattern of interest of gene pair in a specific dataset
- To do survival analysis
Analyse the methylation data
- Browse DNA methyaltion pattern of interest of gene in a specific dataset
- Browse co-expression pattern of interest of gene pair in a specific dataset
- To do survival analysis
Analyse the microRNA data
- Browse expression pattern of interest of microRNA in a specific dataset
- Browse co-expression pattern of interest of microRNA pair in a specific dataset
- To do survival analysis
Download CGGA data
Questions or comments
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