QIAGEN IPA
IPA deeper dive: Deriving ‘omics insights without a dataset
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Are you working on or planning an ‘omics project? Newsflash: You don’t need to have data to get insights. Don’t miss out on pre-data findings with QIAGEN Ingenuity Pathway Analysis (IPA).
In this deep dive, we’ll focus on building networks of biomolecules and entities (pathways, diseases, biological functions and more). We’ll explore how you can modify it to perform in silico experiments – with or without your own data.
You will learn:
• To construct a network from scratch or edit a network/pathway of interest from an analysis or the Ingenuity knowledge base
• To use IPA’s Build and Overlay tools to add genes, proteins, drugs, metabolites, diseases, biological processes and more, even applying filters for added biological context, such as limiting the connections within the network to activation and phosphorylation only
• To perform in silico prediction, e.g., if a drug, siRNA or CRISPR were to reduce the activity of a gene/protein, and its impact on the remaining genes/proteins/diseases in that network), export high-resolution graphics or tabulated relationships and include the created network in future pathway analyses
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