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IPA® is software that helps you analyze and understand your data.

Quickly and reliably identify what is important in your data set. If you are working with microarrays / gene expression profiling (Affymetrix microarrays, Illumina microarrays, SNP microarrays, etc) – IPA is an ideal tool to help you go from statistical analysis to biological insight. IPA supports multiple data types, platforms, and species.

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How can IPA help analyze microarray data?

IPA is software from Ingenuity® Systems that helps researchers model, analyze, and understand the complex biological and chemical systems at the core of life science research. You can use IPA for microarrays to:

  • Analyze microarray data in the context of molecular mechanisms
  • Discover upstream regulators and downstream targets
  • Understand the relationship between transcript, protein, or metabolite changes in the context of phenotypes and toxicological responses
  • Uncover interactions with adjacent pathways, cellular and disease phenotypes, and xenobiotics
  • Discover biomarker candidates to identify responders and non-responders
  • Relate molecular events to higher-order cellular and disease processes
  • Relate molecular changes to organismal physiology and pathophysiology
  • Visualize time course and dose response effects
  • Interpret and integrate data from multiple platforms (e.g., genomics, proteomics, genotyping, NGS, miRNA) and with mixed identifiers
  • Compare affected pathways and phenotypes across platform, time, dose, or patient population

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