Getting Started with IPA
This is an introductory session of IPA that walks users through the system configurations needed to launch IPA, and describes the key terms used in the application. You will also learn the basics of searching the wealth of literature in IPA and learn how to upload and run a Core Analysis to identify the functions, pathways, and networks relevant to your data.
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These free weekly trainings occur on Thursdays and cover basic workflows within IPA.
Biomarker Filter and Comparison Analysis
February 4, 10am PST
This session will explain the questions that biomarker analysis can address, touches on the broad uses of the biomarker filter feature, covers top biomarkers, and teaches you how to create a biomarker comparison analysis.
Molecular Toxicology Analysis
February 11, 10am PST
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.
IPA as a Search and Exploratory Tool
February 18, 7am PST
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.
Large-Scale Data Analysis Part I: Analyze Your Data In The Context Of Functions And Pathways
February 25, 7am PST
This training session walks you through the basics of expression data upload and comparison analysis, introduces functional analysis, provides information about significance calculations and ratios, explores how to drill down on findings and gene details, and discusses best practices for data analysis. |
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monthly scientific seminar
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| This monthly scientific seminar will explore in detail how IPA can be used to answer specific scientific questions. Click on a time below to register.
Linking SNPs from Type II Diabetes GWAS to Disease-Relevant Genes, Pathways, Phenotypes and Molecular Mechanisms
Genome-Wide Association Studies (GWAS) that identify single-nucleotide-polymorphisms (SNPs) present in patients with Type II Diabetes provide a powerful tool for predicting gene to disease associations and generating hypothesis about the underlying molecular mechanisms of disease. The further analysis and exploration of GWAS data in IPA enables researchers to narrow in on and prioritize the subset of genes from GWAS that are associated with disease relevant pathways, biological processes and phenotypes, and regulatory events.
In this seminar we will discuss how IPA and the Ingenuity Knowledge Base generated testable hypotheses and aided understanding of molecular mechanisms of disease by associating genes from the Type II Diabetes GWAS in Diabetes Signaling Pathways, Lipid Metabolism, Insulin Resistance, and disease-phenotypes related to Type II Diabetes such as Atherosclerosis and Inflammation. |
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7:00am PST /