Take your QIAGEN Ingenuity Pathway Analysis (IPA) analyses to the next level by comparing them to your own analyses (different time points, treatments, cell lines, diseases and more) or to a library of over 100K precomputed datasets to find similar or opposite biological signatures. Identify key genes or entities and then explore how they are expressed across normal tissues, diseases and more from over 600K biological samples to gain deep context. In this training, you'll learn how to: • Get advanced insights with the QIAGEN IPA Analysis Match comparison feature to compare large numbers of your own datasets and/or public datasets (from GEO, SRA, cancer collections and more)
• Use and interpret the IPA Activity Plot feature to identify key genes and regulators common across datasets
• Explore identified key genes in Land Explorer to query and visualize expression across tissues, disease states and mutation status, including survival curves We will feature these specific IPA analyses:
• Analysis Match, Activity Plot and Pattern Search
• Land Explorer
• Summer 2023 update and more