metabolomics software

IPA-Metabolomics™ Analysis

 
 
Overview

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.
Highlights
  • 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.

 

Capabilities

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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