IPA-Metabolomics is an analysis capability within IPA that contextualizes your metabolomics data with rich pathway and process information from the Ingenuity Knowledge Base.
- Overcomes the metabolomics data analysis challenge by integrating transcriptomics, proteomics, and metabolomics data to enable a complete systems biology approach.
- Provides the critical context necessary to gain insights into cell physiology and metabolism from metabolite data.
HIGHLIGHTS AND CAPABILITIES
- Metabolites in pathways: Analyze metabolomics data in the context of relevant pathways.
- Metabolites in diseases and biological processes: Understand biological processes and phenotypes related to your metabolites.
- Search and visualize metabolic information: Search, explore, and visualize metabolic-related information such as regulation or synthesis.
- Integrate metabolomics data: Integrate with proteomics and transcriptomics data to find significantly perturbed pathways, novel biomarkers, and metabolic regulators.
With or without metabolite data to analyze, use IPA’s rich information about metabolites to understand:
- What synthesizes a metabolite, and what that metabolite regulates
- The pathways in which a metabolite participates
- Toxicological and pharmacological findings involving a metabolite
- Link to PubChem, CAS, and full synonym mapping
- Leverage IPA’s pathway building tools to visualize the above relationships and build metabolite-centric pathways.
- Integrate transcriptomics, proteomics and metabolomics data for a complete systems biology approach to biomarker discovery, molecular toxicology, and mechanism of action studies.
- Identify pathways, processes, and reactions that are significantly perturbed in datasets generated from multiple experimental platforms.
- Combine results from metabolic data analysis with genomics and proteomics data analysis to find novel biomarkers.