FANMOD

FANMOD detects network motifs in biological networks to identify small, recurring subnetworks that occur significantly more often than expected in random networks.

Key Features:

• Efficiency and Speed: Leverages recently developed algorithms to accelerate network motif detection by several orders of magnitude, enabling analysis of larger motifs in extensive networks.
• Handling Colored Networks: Supports analysis of colored networks where nodes or edges have attributes or weights, accommodating diverse interaction types and intensities.
• Versatile Export Options: Exports results in machine- and human-readable formats, including comma-separated values (CSV) and HTML.

Scientific Applications:

• Systems Biology: Identifies structural motifs that illuminate design principles and functional modules within biological networks.
• Gene Regulatory Networks: Detects recurring subnetworks relevant to transcriptional regulation and regulatory circuit architecture.
• Protein-Protein Interaction Networks: Reveals overrepresented interaction patterns within PPI networks that may indicate functional complexes.
• Metabolic Pathways: Finds recurring subnetwork structures within metabolic networks that can indicate conserved pathway motifs.
• Network Evolution and Stability Analysis: Enables studies of motif abundance to infer evolutionary, adaptive, and stability-related properties of networks.

Methodology:

FANMOD applies advanced algorithms optimized for speed and accuracy to enumerate and evaluate network motifs in large-scale networks.