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.
Analyze and Interpret Your Data In The Context Of Network Analysis
March 4, 7am PST
This training session examines the results of your large-scale data analysis using network analysis – a way to understand the connectivity and relationships between molecules in your dataset. You will learn more about how the Ingenuity Systems algorithms calculate those networks, and how to drill down on relevant functions and pathway from your networks.
Biomarker Filter and Comparison Analysis
March 11, 7am 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
March 18, 7am 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
March 25, 10am 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.
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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.
Modeling schizophrenia using gene expression & SNP genome wide association studies (GWAS) using IPA and Ingenuity Answers
Schizophrenia is a chronic mental disorder that affects ~0.5% of the population with widely varied symptoms. The cause and mechanism of schizophrenia are unknown. This scientific seminar is based on an IPA retrospective analysis of schizophrenia gene expression data. IPA analysis identified networks of interacting molecules as well as functions and signaling pathways associated with the schizophrenia gene expression data. Furthermore, IPA and Ingenuity Answers illustrated ties between schizophrenia and bipolar disorder. Lastly, exploration of SNPs using IPA and Answers aided in the generation of a hypothesis that SNPs associated with bipolar disorder may be associated with the disease mechanism of schizophrenia. |
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7:00am PST /