PathwayNexus

PathwayNexus maps metabolomics data from multiple sampling conditions onto pathways and presents the results in a matrix format to reveal relationships between compounds and pathways.

Key Features:

• Matrix Visualization: Presents mapping results in a matrix format to observe relations between compounds and pathways.
• Ranking and Sorting: Enables ranking and sorting of pathways based on mapped metabolomics data.
• Clustering: Provides clustering functionality for analyzing pathway and compound relationships.
• Pathway Subsetting: Condenses large sets of pathways into smaller, more relevant subsets aligned with user-specific interests.
• Pathway Views: Offers pathway views for investigating metabolomics data in pathway context.

Scientific Applications:

• Metabolomics Data Analysis: Handles and analyzes large metabolomics datasets from high-throughput omics methods.
• Multi-Condition Comparison: Investigates metabolomics data across multiple sampling conditions such as different time points or treatments.
• Pathway-Centric Interpretation: Analyzes metabolomics data in the context of biological pathways rather than as isolated compound lists.

Methodology:

Implemented as an open-source add-on for VANTED.