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Many of you who use QIAGEN Ingenuity Pathway Analysis (IPA) have requested a deeper dive into the IPA core analysis (also known as expression analysis), which is - performed on RNA-seq, scRNA-seq, proteomics and many other types of ‘omics data). You’ve specifically requested to cover topics like causal networks, regulator effects, etc., in more detail. That’s why we’ve designed this training to focus on these topics and more:
· What are the different result types of results produced by an IPA core analysis?
· What are the differences between causal network vs. mechanistic network vs. regulator effects?
· How do you predict molecular activity in IPA? What is a Z-score? · What is the new bubble plot feature?
· How can I edit, expand and modify the network the way I want it? For example, add a disease or gene(s) of interest, remove certain connections, etc?
• If you haven’t done a core/expression analysis in IPA before, we recommend you review the below slides before (or after) this training. It’s not a requirement for following this training but it will help.
o https://qiagen.showpad.com/share/SQjinvdxIs1iGhL8H3eOd
Slide#4 = how to download the example dataset
Slide#20 -25 = review recommended dataset formats
Slide#53 onwards = step-by-step how to upload the dataset and perform analysis
• If you have an IPA license but don't know where to download the IPA app.
o Install IPA: https://qiagen.showpad.com/share/A0mV7EWcejBtXPJUesbXd
o IPA beginner training recording:
https://qiagen.showpad.com/share/t2cGMdF3NjVucBA0b9tIT
