Ingenuity Pathway Analysis (IPA) Training

  • Registration Closed
  • May 10, 2018
  • 10:00 AM to 03:00 PM
  • NIH Library Training Room

Session Description

The NIH Library Bioinformatics Support Program is presenting a Ingenuity Pathway Analysis (IPA) class on Thursday, May 10th, 10 AM - 3:00 PM in the NIH Library training room, Building 10. Even if the class is full, please sign up for the waitlist and plan on attending the class. When the class begins, empty seats will be filled on a first-come, first-served basis by waitlisted students who arrive early and sign in. An effort is made to accommodate everyone.

Learn how to get started on using QIAGEN’s Ingenuity Pathway Analysis (IPA) to quickly identify biological relationships, mechanisms, pathways, functions and diseases most relevant to experimental datasets. IPA is cited in >27,000 peer-reviewed articles. The class will demonstrate how to explore IPA's knowledge & discovery tools to relate the most recent literature findings to your research.

The hands-on training session will mainly focus on biological interpretation of expression data but will also cover multi-omics analysis including variant data and phosphoproteomics.


Getting Started

   • Fundamentals of IPA

   • Overview of Key features

   • Search & Explore

   • Building & Editing Pathways

   • Using Build & Overlay tools

Dataset Analysis

   • Data Upload & Analysis of gene, transcript, protein & metabolite data

   • Pathway Analysis & Canonical Pathways

   • Downstream Effects & interpreting the heat map

   • Regulators and their directional effect on genes, functions and diseases

   • Interpreting Networks

   • Analysis Match: Analyses with similar/dissimilar Pathways, Regulators, and Downstream Effects

   • Comparison & multiple observations analysis

   • miRNA and isoform analysis

   • BioProfiler: Define relationships between molecule activity and diseases/processes in the literature

Q & A session

A QIAGEN Ingenuity Field Applications Scientist will be available to answer individual questions or discuss specific projects.

Go to the NIH Library Bioinformatics Support Program page to learn more about the program. For more information on how to access the NIH Library’s IPA licenses, please visit


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