Diffany

Diffany calculates and visualizes differential networks to analyze dynamic changes in interactomes across multiple condition-specific responses.

Key Features:

• Ontology-Driven Framework: Employs an ontology-based approach to integrate heterogeneous networks, including physical interactions and regulatory associations, and supports symmetric and directed edges with variable weights and negations.
• Unified Differential Network Analysis: Infers, compares, and analyzes differential networks against a reference network to provide a standardized framework for assessing condition-specific rewiring.
• Versatility in Interaction Types: Processes complex networks comprising multiple interaction types concurrently rather than being limited to single-condition or single-interaction analyses.
• Multi-Condition Analysis: Supports simultaneous analysis of multiple condition-specific responses to capture dynamic changes across varied environmental conditions or stimuli.

Scientific Applications:

• Plant abiotic stress analysis: Applied to predict and experimentally confirm roles of specific regulators in plant responses to abiotic stress.
• Systems biology: Enables exploration of network rewiring and identification of key regulatory elements across conditions.
• Genomics: Facilitates comparative analyses of gene regulatory interactions under different experimental or environmental conditions.
• Environmental science: Supports investigation of organismal interactome adaptations in response to environmental changes.

Methodology:

Uses ontology-based algorithms to integrate various types of network data and compares condition-specific networks against a reference network.