Leverage the powerful new capabilities of IPA:
New dbSNP and miRNA features allow you to understand functional implications of SNP and miRNA studies
Updated mapping, comparison, and utilization of datasets for rapid data assessment
Additional Path Designer tools: species-specific nomenclature and customized legend
Ability to create custom pathway libraries via SBML pathway import (beta)
New disease-focused content including 46 new signaling pathways
  IPA Software Free Trial - IPA is used for pathway analysis, microarray analysis, metabolomics, genome analysis, and more. Explore IPA with a free trial

Analysis & Interpretation
Rapidly understand experimental data

Hypothesis Generation
Search literature and generate testable hypotheses

Communication & Collaboration
Share results and export reports

How can I use IPA?

Connect a genotype to phenotype

  • Start with a molecular profile from an assay and use IPA to assess the physiological response
  • Start with disease pathology and use IPA to understand molecular mechanisms of action
  • Discover tissue-specific links from target to phenotype

Obtain more confidence in targets

  • Understand how your observations fit with what has been demonstrated in the scientific literature

Generate testable hypotheses

  • Use the knowledge in IPA to create testable models. For example: What genes are involved in inflammation and cell death in the onset and progression of atherosclerosis?

Categorize data into thematic units

  • Get a quick assessment of what functions (ex: apoptosis), diseases, or pathways that are closely associated with a group of genes

Get answers to your questions by quickly accessing relevant scientific literature

  • Leverage the highly detailed contextual information in Ingenuity Knowledge Base to get accurate and relevant results

Communicate results and organize data

  • Use tools in IPA to share your insights through custom pathway diagrams, email , shared workspaces, and more.

IPA Software Free Trial - IPA is used for pathway analysis, microarray analysis, metabolomics, genome analysis, and more.

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