Correlation AnalyzeR

Correlation AnalyzeR provides genome-wide, context-specific gene co-expression analysis to predict gene function and characterize gene–gene relationships across tissues and disease states.

Key Features:

• Context-Specific Co-expression Database: A genome-wide database of co-expression correlations stratified by tissue and disease state (e.g., cancer vs. normal).
• Computational Functional Prediction: Advanced computational methods to generate functional predictions and uncover gene–gene relationships and gene set topologies.
• Summary Visualizations: Summary visualizations for interpreting co-expression results and communicating functional predictions.

Scientific Applications:

• Context-specific functional annotation: Predict gene function within specific biological contexts such as tissues or disease conditions.
• Hypothesis generation for gene interactions: Generate hypotheses about gene interactions and co-regulation, including investigating relationships such as BRCA1 and NRF2 in bone cancer.
• Characterization of poorly annotated genes: Link poorly characterized genes to known pathways and gene sets via co-expression patterns.

Methodology:

Leverages a comprehensive database of tissue- and disease-specific genome-wide co-expression correlations and computational analyses to derive functional predictions, gene–gene relationships, and gene set topologies, with results summarized by visualizations.