QIAGEN Ingenuity Pathway Analysis (IPA) represents a robust resource to aid in the process of writing grants publications. Driven by a wealth of manually-curated molecular interactions and associations in the QIAGEN Knowledge Base together with pre-analyzed public ‘omics data for hundreds of thousands of samples from QIAGEN OmicSoft Lands, IPA provides biological insights regardless of whether you have your own data or not. In the absence of your own data, IPA provides a resource to query existing molecular knowledge from the literature or public ‘omics data, build networks in silico, and review results from pre-analyzed public studies. With data, you can dig deeply into the biological meaning of your results through the identification of key pathways, regulatory molecules and functional changes as well as understand how your study relates to other published studies.

Join us for a 2-hour training session where you will learn:

• Ways to query IPA’s vast collection of curated literature and ‘omics data
• How molecules relate to phenotypes and functions
• Build your own networks and predict activity changes
• Ways to explore a library of over 90,000 precomputed IPA analyses pulled from public ‘omics data
• How to format your dataset and set up an analysis
• How to deeply interrogate key Canonical Pathway
• How to predict regulators which are causing your expression changes
• How to contextualize the result of your analysis by comparing your results to internal and public data
• Ways to generate the necessary tables and figures for your manuscript