ClusterONE Web

ClusterONE Web discovers and analyzes overlapping protein complexes from protein-protein interaction (PPI) networks.

Key Features:

• Preprocessed PPI Datasets: Includes a database of preprocessed PPI datasets covering multiple organisms.
• Custom Data Upload: Allows users to upload their own interaction data.
• Gene Ontology Enrichment Analysis: Provides built-in Gene Ontology enrichment analysis for functional interpretation of identified complexes.
• ClusterONE Algorithm: Detects overlapping protein complexes in both weighted and unweighted PPI networks.

Scientific Applications:

• Protein Complex Discovery: Identifies overlapping protein complexes from PPI networks.
• Functional Interpretation: Enables functional interpretation of identified complexes through Gene Ontology enrichment analysis.
• Cross-Organism Analysis: Supports analysis across multiple organisms using preprocessed datasets.

Methodology:

ClusterONE Web implements the Clustering with Overlapping Neighborhood Expansion (ClusterONE) algorithm to detect overlapping protein complexes in weighted and unweighted PPI networks.