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IPA Training


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.

Science Spotlight

Learn more about how IPA can be used to answer scientific questions in these upcoming webinars.

» View Past Scientific Seminar Videos

the basics

Data Upload and Analysis
This session dives more deeply into data upload and analysis in IPA. You'll see how to rapidly understand biological processes most perturbed in your dataset, or across multiple timepoints or doses. You'll also get an introduction to functional analysis, significance calculations, and how IPA can help you understand the cause and effect of gene expression changes in your experiment.

Search & Explore
Explore how IPA's knowledge and discovery tools 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.

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.

Molecular Toxicology Analysis
Explore how IPA's toxicity analysis capabilities and toxicology functions can deliver a focused toxicity and safety assessment of candidate compounds, reveal clinical endpoints associated with a dataset, and more. Learn more about toxicology capabilities in IPA.