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IPA-Metabolomics is a capability within IPA that extracts rich pathway information from metabolomics data.
- 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.
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- Metabolites in pathways: Analyze
metabolomics data in the context of relevant pathways.
- Metabolites in processes: Understand
biological processes and phenotypes related to
your metabolites.
- Search and visualize metabolic information:
Search, explore, and visualize comprehensive 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.
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Analyze metabolomics data in the context of metabolic and signaling pathways
- Use Ingenuity's extensive library of signaling and metabolic pathways to identify the pathways that are most enriched for your metabolites.
- Edit those pathways to focus on metabolic reactions and paths most relevant to your experimental model.
Understand the biological processes and phenotypes
related to your metabolites
- Narrow in on the cellular and metabolic processes most significantly associated with your metabolite data with IPA Functional Analysis.
- Use insights from the Functional Analysis in conjunction with pathway information to pinpoint specific perturbations in cellular metabolism.
Search and visualize Ingenuity's extensive repository of chemical knowledge
- Even in the absence of data to analyze, use IPA's comprehensive 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.
- Modify pathways to identify regulators of metabolites that are perturbed in other experimental datasets.
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