ScyNet

ScyNet visualizes community metabolic models by generating networks with reduced complexity that focus on interactions between community members.

Key Features:

• Community model visualization: ScyNet generates networks with reduced complexity by focusing on interactions between community members rather than complete single-organism metabolic networks.
• Model state incorporation: ScyNet can incorporate the state of a metabolic model via fluxes or flux ranges.

Scientific Applications:

• Community metabolic model analysis: ScyNet enables mechanistic insights into interactions between community members in genome-scale community metabolic models.
• Cystic fibrosis airway community modeling: ScyNet was demonstrated on a previously published simplified cystic fibrosis airway community model.

Methodology:

ScyNet operates as a Cytoscape app.