SMART App

SMART App provides analysis and visualization of DNA methylation from The Cancer Genome Atlas (TCGA) to support integrative multi-omics and clinical investigations in cancer.

Key Features:

• Integration of Multi-Omics Data: Integrates DNA methylation with multi-omics and clinical data from TCGA for combined analyses.
• CpG-level visualization: Visualizes CpG methylation patterns across genomic contexts.
• Pan-Cancer Methylation Profiling: Enables profiling of methylation patterns across multiple cancer types in TCGA.
• Differential Methylation Analysis: Identifies significant differences in methylation levels between comparison groups to detect differentially methylated loci or regions.
• Correlation and Survival Analysis: Performs correlation analyses between methylation and other variables and conducts survival analysis to evaluate prognostic associations.

Scientific Applications:

• Epigenomic characterization: Characterizes the epigenetic landscape of cancers using TCGA DNA methylation data.
• Biomarker discovery: Supports identification of methylation-based biomarkers through differential and correlation analyses.
• Prognostic assessment: Assesses prognostic significance of methylation patterns via survival analysis.
• Integrative multi-omics investigations: Enables integration of methylation with other omics and clinical parameters for mechanistic studies.

Methodology:

Performs differential methylation, correlation and survival analyses and CpG-level methylation visualization using TCGA DNA methylation, multi-omics and clinical datasets.