IPA has broadly been adopted by the life science research community and is cited in thousands of articles for the analysis, integration, and interpretation of data derived from ‘omics experiments, such as RNA-seq, small RNA-seq, microarrays including miRNA and SNP, metabolomics, proteomics, and small scale experiments. Hosted by two QIAGEN Senior Scientists, this series will show you step-by-step how to implement and use IPA to get the most out of your data.

Part 2: Formatting and Uploading Your Dataset into IPA

Learn how to format your own data and upload it into IPA so that you can perform pathway visualization and various different types of analyses. Learn how to:

•                    Format and upload the data to be analyzed by IPA

•                    Explore your uploaded data and start an analysis

Interested in learning more or trying IPA? Click here.