Table 1.
Data sources for GBM multi-omics analysis.
| Database Name | Type of Data | Purpose |
|---|---|---|
| The Cancer Genome Atlas Research Network (TCGA) | Genomic, Epigenomic, Transcriptomic | Investigate the genetic profile and molecular subtypes of GBM |
| NeDRex plugin version 1.0.0 | Disease Module Detection | Find GBM-related disease modules in the Cytoscape platform |
| MuST Algorithm | Approximate Steiner Tree Calculation | Extract a connected subnetwork engaged in the disease pathways |
| DIAMOnD Algorithm | Disease Module Detection | Determine the disease module surrounding a set of known disease genes or proteins |
| STRING | Proteins | Protein–protein Interaction Networks |
| KEGG | Proteins | Find GBM-related proteins |
| HMDD | miRNAs and proteins | GBM-related miRNAs-proteins Interaction network |
| GlioVis | Over 6500 tumor samples of approximately 50 expression datasets of a large collection of brain tumor entities (mostly gliomas), both adult and pediatric | To analyze the correlation between identified genes based on the TCGA database |
| OSgbm | Transcriptome profiles and clinical information from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and Chinese Glioma Genome Atlas (CGGA). | An online consensus survival analysis web server |