Ingenuity offers free weekly training webinars for IPA. View the upcoming month’s schedule below or visit the IPA Training page for more details.
Training for the month of November:
Search & Explore
Explore how the knowledge and discovery tools in IPA allow you to relate the most recent literature findings to your experimental data, create interactive and customized pathways using tools such as species/tissue highlights and complex searches, and help in hypothesis generation.
- Tuesday, November 1, 7 am PDT
- Tuesday, November 8, 10 am PST
- Tuesday, November 22, 10 am PST
- Tuesday, November 29, 7 am PST
Getting Started with IPA
This session is recommended for all new or beginning users. It introduces IPA and will show you how to upload and run an analysis to identify the functions, pathways, and networks most relevant to your data. It also walks you through system configurations needed to launch IPA, describes the key terms used in the application, and demonstrates how to search for key information on genes and other concepts in IPA.
- Wednesday, November 2, 10 am PDT
- Wednesday, November 9, 7 am PST
- Wednesday, November 16, 10 am PST
- Wednesday, November 23, 7 am PST
- Wednesday, November 30, 10 am PST
Data Upload and Analysis
This session dives more deeply into basic data upload and analysis in IPA. You’ll see how to rapidly understand biological processes, pathways and networks most perturbed in your dataset, or across multiple timepoints or doses. You’ll also get an introduction to functional analysis, significance calculations and ratios; see how to drill down on findings and gene details; and learn about best practices for data analysis.
- Thursday, November 3, 10 am PDT
- Thursday, November 10, 7 am PST
- Thursday, November 17, 10 am PST
- Thursday, December 1, 10 am PST
Biomarker Filter and Comparison Analysis
This session will explain how you can use IPA to identify biomarker candidates from your dataset, prioritize them based on contextual biological information, and identify biomarker candidates that discriminate between or are common to a disease state. You’ll learn how to use the biomarker filter, and create a biomarker comparison analysis. Learn more about biomarker capabilities in IPA.
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