Kiwi

Kiwi integrates gene-set analysis outputs with biological network topology to reveal connectivity among gene-sets and metabolites for improved interpretation of high-throughput data.

Key Features:

• Integration of gene-set outputs and network structures: Processes output from gene-set analyses and maps gene-sets onto network structures such as metabolic networks.
• Connectivity-based interpretation: Evaluates relationships between gene-sets based on biological interactions rather than solely on shared genes.
• Visualization of network connectivity: Generates visual representations that distinguish whether significant entities or processes are isolated or interconnected within the network.
• Case-study detection of regulated metabolites: Identifies metabolites regulated under specific conditions and highlights their tight connections within metabolic networks.

Scientific Applications:

• Metabolic Network Analysis: Elucidates interactions and regulatory mechanisms among metabolites by integrating gene-set results with metabolic network topology.
• Systems Biology Research: Reveals functional relationships between biological entities across networks to support system-level interpretation.
• Interpretation of High-Throughput Studies: Improves the biological interpretation of large-scale gene-set analysis results by exposing network-based connectivity.

Methodology:

Maps gene-set analysis outputs onto network structures and visualizes their connectivity based on biological interactions rather than gene overlap.