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IPA deeper dive - Making the most out of core expression analysis


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A core/expression analysis is performed for RNA-seq, scRNA-seq, proteomics and many other types of ‘omics data. Driven by high demand from new user training sessions, we will dive into the details around a core analysis and its results.

Answer questions such as:

• What are the different result types produced by an IPA core analysis?

• How can we identify key regulators and relevant regulatory networks?

• What are the biomarkers and genes associated with diseases and biological processes of interest?

• Can IPA help generate novel directional (regulator effects) and non-directional (interaction) networks from a user’s dataset?

Come with your questions, and we'll address them during the webinar.

If you haven’t done a core/expression analysis in IPA before, we recommend you review the slides below before (or after) this training. It’s not a requirement, but it will help.

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

o Install IPA: https://qiagen.showpad.com/share/A0mV7EWcejBtXPJUesbXd

o IPA beginner training recording:

https://qiagen.showpad.com/share/Dcdg28jxw0D2uRpgRqFK4

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