IPA Fall Release 2013

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Discover Causal Connections. Faster.

The newest release of IPA helps you better understand the regulatory mechanisms driving gene expression changes and their impact on diseases of interest through interactive visual exploration of causality between molecules and disease, function, or phenotypes. Ask real-time what-if questions about molecular mechanisms of disease and simulate effects on functional endpoints of networks and pathways using IPA’s Molecule Activity Predictor (MAP). Explore Ingenuity’s disease and function ontology, and quickly discover key molecular targets and known drugs with the new Disease View.

Leverage your own domain expertise and proprietary curation efforts to power IPA causal analytics with new My Findings Import*. Turn valuable assay results into powerful molecule to target or disease relationships and leverage your exclusive knowledge to better understand expression results and to generate hypotheses. Quickly and easily import your own molecular relationships into a secure proprietary repository and use in conjunction with the Ingenuity Knowledge Base throughout IPA. My Findings lets you control and customize the underlying content enabling even more robust causal analytics in IPA.

See the Whole Picture:

  • Interactive visual exploration of causality between molecules and disease, function, or phenotypes from a network or My Pathway.
  • Visualize and understand relationships between diseases, functions and molecules including the ability to drill down to the underlying supporting literature evidence.
  • Ask real-time what-if questions about molecular mechanisms of disease and simulate effects on functional endpoints of networks and pathways using Molecule Activity Predictor (MAP).
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Visualize the impact of genes on diseases or biological functions in Downstream Effects Analysis.

 

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Visualize predicted regulatory networks from Causal Network Analysis and the impact on the disease or biological function.

Disease View:

  • The new Disease or Function View provides details associated with the disease or biological function such as molecules associated with that disease or function, known drug targets, drugs known to target those molecules, and more.
  • Understand how the disease or function relates to other diseases and functions through the Ingenuity ontology. Review and understand shared molecules and relationships between molecules, diseases, and functions.

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My Findings*:

  • Leverage your domain expertise to customize Ingenuity content for a specific disease or therapeutic area of interest from your institution’s internal curation efforts.
  • Import your own proprietary molecule to molecule and molecule to disease or function relationships and use them throughout IPA including causal analytics.
  • Maintain these relationships in a secure proprietary database dedicated to your company or institution.

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Feature Overview

My Findings*

  • Customize Ingenuity content for a specific disease or therapeutic area of interest from internal curation efforts or with third party databases (with appropriate licensing).
  • Using My Findings, import your own proprietary molecule to molecule and molecule to disease or function relationships and use them throughout IPA including network visualization and causal analytics.
  • Maintain your relationships in a secure proprietary database dedicated to your company or institution.
  • Import and use experimentally demonstrated/experimentally observed relationships to increase content and confidence in predicted upstream regulators, interaction or causal networks, or Downstream Effects Analysis.
  • Increase the amount of content in a disease area of interest to power and discover plausible networks of connected upstream regulators that can work together and generate testable hypothesis faster.
  • Ask real-time what-if questions about molecular mechanisms of disease and simulate Effect on Functional endpoints of networks and pathways using Molecule Activity Predictor (MAP) operating over your content.
*Available for an additional cost.