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Case Study: The University Of Texas At Austin


  • Solved the following challenges since deploying IPA for RNA sequencing analysis:
    • Improved precise measurement of transcripts
    • Can more clearly identify biologically relevant isoforms
  • Purchased IPA for RNA sequencing analysis for the following reasons:
    • Interpret the impact of expression changes in the context of biological processes, disease and cellular phenotypes, and molecular interactions
    • Visualize their RNA seq data in context of Isoform View

Use Case

  • Uses the following species in their RNA seq analysis:
    • Humans
  • Uses the following upstream analysis packages to generate RNA-Seq expression values:
    • DESeq
    • Bioconductor


  • Rates the following IPA capabilities compared to the competition:
    • Faster time to insights: extremely differentiated
    • Ease of use: extremely differentiated
    • Novel insights: extremely differentiated
    • Deeper analysis: extremely differentiated
  • Saved > 3 days per analysis with IPA for their RNA seq analysis.
  • Is extremely satisfied with the value for identifying biologically relevant isoforms from RNA seq data using IPA.
  • Increased the productivity of their bioinformatics staff for RNA seq analysis by > 10x with IPA.


user-green2“IPA has deepened my understanding of a critical RNA helicase and its plethora of cellular connections to cancer. It has given to me a year’s worth of knowledge in a weekend’s time.”

Jacob Grohman, Post Doctoral Researcher, The University of Texas at Austin

Source: TechValidate. TVID: 65F-FCF-937