Blueprint of Gene Regulation
Uniting multi-omics data — transcriptomics, proteomics, metabolomics, and single-cell analyses — to reveal the landscape of gene regulatory networks across 33 cancer types.
Quick Access
Jump directly into the tools and data you need
Projects
Browse 33 TCGA cancer programs with clinical, genomic, and biospecimen annotations
ExploreAnalysis
Run DESeq2, expression profiling, and survival analysis on any cancer cohort
ExploreDownload
Access open and controlled genomic datasets for offline analysis and validation
ExploreTools
Interactive APIs, visualization tools, and bioinformatics pipelines for researchers
ExplorePlatform Capabilities
Comprehensive tools for cancer genomics research and discovery
Differential Expression
Run DESeq2 analysis to identify differentially expressed genes between tumor and normal samples across 33 cancer types.
Expression Profiling
Visualize gene expression patterns with box plots, heatmaps, and violin plots for any gene or gene set.
Survival Analysis
Generate Kaplan-Meier survival curves stratified by gene expression, mutation status, or clinical features.
Multi-omics Integration
Combine transcriptomics, proteomics, and metabolomics data to build comprehensive regulatory network models.
Data Downloads
Download open-access and controlled-access datasets in standard formats for offline analysis and validation.
REST API Access
Programmatically query data and run analyses through a documented RESTful API with authentication support.
Featured Projects
Explore curated TCGA cancer genomics research programs
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Latest Updates
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Ready to Explore the Cancer Genome?
Access comprehensive genomic data from 33 cancer types, run powerful analyses, and generate publication-ready visualizations — all in one platform.