regional trainings: Sign up now – fills up quickly!
Let IPA training come to you! Participate in our hands-on local trainings to learn how to use IPA more efficiently. Day one is an introduction to IPA, and day two is a condensed version of our popular IPA Certification program. The 2010 regional training series includes the below locations – click to find out more! |
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| RTP, NC: |
April 22-23 |
| Houston, TX: |
April 26-27
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| London, United Kingdom: |
May 6-7 |
| Heidelberg, Germany: |
May 10-11 |
| Edison, NJ: |
May 18-20 |
| Toronto, ON: |
June 17-18 |
| Chicago, IL: |
June 21-22 |
| Indianapolis, IN: |
August 3-4 |
| Seattle, WA: |
September 16-17 |
| Montreal, QC |
September 29-30 |
| San Diego, CA: |
October 6-7 |
| San Francisco, CA: |
October 20-21 |
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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.
Molecular Toxicology Analysis in IPA
July 1, 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
July 8, 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 search across The Ingenuity Knowledge Base.
Analyze and Interpret Your Data In The Context Of Functions And Pathways
July 15, 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.
Analyze and Interpret Your Data In The Context Of Network Analysis
July 22, 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
July 29, 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.
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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.
Comparison of Alzheimer's and Huntington's disease elucidates common and unique genes and pathways
Alzheimer's disease (AD) and Huntington's Disease are both neurodegenerative diseases. By comparing gene expression data from both diseases and analyzing data with IPA, common pathways and biological processes were identified, presumably related to common neurodegenerative processes between the two diseases. In support of this hypothesis, results indicate HTT protein as a key upstream regulator of many AD genes. Additional pathway analysis was carried out to look for pathways and functions that were unique to AD to identify factors upstream of common neurodegenerative related processes. The results show that the most significant and unique pathways and processes to AD are related to mitochondrial function, further supporting of the role of mitochondria in AD progression. This webinar presents the results and how IPA was used to obtain them. |
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7:00am PST /