ClickGene

ClickGene provides comprehensive pan-cancer genomic analysis, enabling genome-wide association studies (GWAS) and analysis of gene expression, copy number variation, methylation, and mutation data across more than 30 cancer types and over 10,000 samples.

Key Features:

• Pan-cancer and GWAS support: Supports genome-wide association studies (GWAS) and pan-cancer genomic analyses across more than 30 cancer types comprising over 10,000 samples.
• Supported data types: Processes gene expression, copy number variation (CNV), DNA methylation, and mutation data.
• Data integration: Integrates public datasets from the GDC (Genomic Data Commons) data portal and accepts private in-house genomic datasets.
• Visualization suite: Produces Bee-swarm plots, linear regression analyses, Mountain plots, Directional Manhattan plots, Deflection plots, and Volcano plots for global profiles and individual gene distributions.
• Cloud infrastructure: Leverages the Dubbo cloud distributed service governance framework for high-throughput big-data transfer and scalable performance.
• High-throughput plotting performance: Delivers advanced plots of hundreds of whole-genome datasets within seconds.

Scientific Applications:

• Whole-genome and GWAS analysis: Performs whole-genome analyses and genome-wide association studies across large cancer cohorts.
• Multi-omics comparative analysis: Enables comparative analysis of gene expression, CNV, methylation, and mutation datasets to generate global profiles or individual gene distributions.
• Visualization-driven discovery: Generates Directional Manhattan and Volcano plots and other genome-wide visualizations to support identification of genomic associations and variant patterns.
• Therapeutic discovery: Supports data mining workflows relevant to therapeutic discovery from large-scale cancer genomics datasets.

Methodology:

Built on the GDC (Genomic Data Commons) data portal and leveraging the Dubbo cloud distributed service governance framework, ClickGene implements visualization and statistical outputs including Bee-swarm plots, linear regression analyses, Mountain plots, Directional Manhattan plots, Deflection plots, and Volcano plots.