PanoromiX

PanoromiX integrates genome-based molecular assay data with pathophenotypic measurements over time to represent and analyze dynamic gene regulatory and molecular interaction networks for studying disease progression.

Key Features:

• Dynamic Interactive Visualization: Visualizes genome-based molecular assay outputs as time-resolved, modular networks correlated with pathophenotypic data such as MRI, X-ray, and behavioral metrics.
• Data-Agnostic Approach: Accepts heterogeneous datasets across molecular assays and pathophenotypic measurements for integrated network representation and analysis.
• Gene Regulatory Network Analysis: Reveals organizing principles of disease pathology by highlighting nodes, edges, hubs, and changing network modules in gene regulatory networks.
• Modular Consolidation into Animations: Consolidates heterogeneous data into modular, time-resolved network animations to represent dynamic molecular perturbations and interdependencies.

Scientific Applications:

• Disease Progression Monitoring: Tracks biomarker perturbations and network module changes over time to characterize disease progression.
• Disease Classification: Distinguishes disease states by analyzing evolving network modules that correspond to specific pathophenotypes rather than symptoms alone.
• Exploration of Molecular Interactions: Enables systematic investigation of complex molecular interactions and regulatory network changes across distinct disease states.
• Discovery of Diagnostic and Therapeutic Targets: Identifies candidate diagnostic markers and therapeutic targets by mapping interconnected genome assay signals onto pathological networks and phenotypes.

Methodology:

Integrates molecular perturbations from diseases into complex networks that reflect functional interdependencies underlying pathological phenotypes, emphasizes the time dimension of disease progression, and consolidates heterogeneous data into interactive, time-resolved network animations.