MetExplore

MetExplore enables curation, visualization, and analysis of metabolic networks and integration of omics data to contextualize metabolomics within genome-scale reconstructed metabolic networks.

Key Features:

• Metabolic network curation and annotation: Collaborative curation and annotation of metabolic networks to refine and expand organism-specific reconstructions.
• Network visualization and exploration: Visualization module and MetExploreViz for pathway- and network-level representation of metabolic reactions and entities.
• Omics data mapping and contextualization: Mapping of metabolomics and other omics data onto genome-scale reconstructed metabolic networks specific to an organism.
• Graph-based analysis for metabolomics: Application of graph-based methods to analyze untargeted metabolomics data and reveal metabolite relationships via network topology and common neighbors.
• Over-representation statistics: Calculation of over-representation statistics to identify significantly represented metabolic elements within omics datasets.

Scientific Applications:

• Metabolomics and systems biology: Support for high-throughput metabolomic experiments by linking identified metabolites to genome-scale networks to aid identification and quantification.
• Pathway discovery and hypothesis generation: Integration of novel pathways and network-based detection of metabolite relationships to explore metabolic modulations.
• Biochemical interaction interpretation: Provision of a comprehensive relational context beyond traditional pathway maps to study metabolic connectivity relevant to health and disease.

Methodology:

Mapping of metabolomics data onto organism-specific genome-scale metabolic networks, application of graph-based methods, calculation of over-representation statistics, and network curation/annotation combined with visualization via MetExploreViz.