Survey Results: Ingenuity’s IPA Helps Researchers with RNA-Seq Data

RNA-Seq has opened up exciting opportunities to deepen our understanding of the transcriptome. But the interpretation of large RNA-seq datasets can be a daunting task. Recently, we worked with independent survey company TechValidate to survey our IPA users about their experience working with RNA-seq data.

F0B-08F-439This study shows our users have been pleased with how IPA performs with this kind of data.

According to the survey, the number one reason people chose to use IPA with their RNA-seq data was to understand expression changes in the context of biological processes, disease and cellular phenotypes, and molecular interactions. Also important: compiling targeted bibliographies linking isoforms to particular contexts.

483-C3C-D95In a separate question, users were asked which existing lab challenge was solved by utilizing IPA. The most popular responses were identifying biologically relevant isoforms, more precise measurement of transcripts, and ability to distinguish different isoforms.

Like other Ingenuity products, IPA was designed to accelerate projects and save researchers time — so we were pleased by our survey results indicating that IPA is succeeding. Almost three-quarters of users reported saving more than one day per analysis by using IPA.


In addition, University of Texas at Austin Post Doctoral Researcher, Jacob Grohman said, “[IPA] has given to me a year’s worth of knowledge in a weekend’s time.” Now that’s a lot of time!

Naturally, these time savings were associated with a significant increase in productivity as well. 92% of surveyed researchers increased the productivity of their bioinformatics staff for RNA seq analysis. Almost a third of respondents said they had seen a 2x to 5x increase in productivity by using IPA for RNA-seq data, and a quarter of users saw a 5x increase or greater.


We appreciate all of our survey respondents for taking the time to provide us with valuable information about their use of IPA in their RNA-seq projects.

To see more results from the survey, click here. To sign up for a free IPA trial and to learn more about how IPA can help you model, analyze, and understand complex biological and chemical systems, click here.