ODAMNet

ODAMNet provides a Python package for network- and module-based analyses of chemical exposures and rare genetic diseases to generate hypotheses about molecular relationships.

Key Features:

• Overlap Analysis: Identifies commonalities between chemical exposures and disease-related genes or pathways.
• Active Module Identification: Detects active biological modules to pinpoint interactions relevant to disease mechanisms.
• Random Walk with Restart: Applies Random Walk with Restart on networks to explore network-based relationships between chemicals and rare diseases.

Scientific Applications:

• Systematic analysis of chemical-rare disease relationships: Supports systematic analysis and hypothesis generation about molecular links between chemicals and rare genetic disorders.
• Hypothesis generation: Produces testable hypotheses regarding molecular interactions and potential effect mechanisms connecting chemicals to rare diseases.
• Mechanism and target discovery: Aids identification of potential effect mechanisms and candidate therapeutic targets in the context of rare genetic disorders.

Methodology:

Implements overlap analysis, active module identification, and Random Walk with Restart on gene and pathway networks within a Python package.