Get to know IPA

During the coming months we’ll be hosting a series of webinars introducing Ingenuity Pathway Analysis.

There is a webinar giving an introduction to IPA. Other sessions will focus on uploading your data, interpreting your results, and there’s an introduction to newly added features. There’s also a webinar on tips and tricks for doing RNA-Seq analysis in IPA.

Our experts Dr. Lynne Mullen and Dr. Jasmin Droege will be hosting the webinars in U.S. and EU time zones, respectively.

You can sign up and read more about each of the webinars below.
Webinar recordings will be available shortly after each of the webinars.


Interpreting the results of your Core Analysis in IPA

Learn how to view and interpret your analysis results in IPA. How to focus on the Core Analysis and the multiple ways of relating the molecules in your dataset to the body of information in the Ingenuity Knowledge Base. Discover more about:

  • Biological functions and diseases that are over-represented in your data, and the predicted directional effects on these functions and diseases
  • Signaling and metabolic canonical pathways enriched in your data
  • Predicted upstream regulators that might explain the changes observed in your data
  • Integrated Upstream Regulator results with Downstream Effects results to create causal hypotheses which explains what may be occurring upstream to cause particular phenotype or functional outcomes downstream
  • Molecular networks (algorithmically generated pathways describing potential molecular interactions in your experimental system)

Thursday April 21, 2016

Register for our EU webinar at 10:00-10:45 AM (CET)
Register for our U.S. webinar at 10:00-10.45 AM (PST)


Exploring the upstream analysis results in IPA

Gain better insight into your research by identifying significant upstream regulators and how they affect biological processes in your experimental system.
Learn more about:

  • Finding important upstream regulators
  • Exploring Mechanistic Networks to identify interactions among upstream regulators
  • Linking upstream regulators and their targeted dataset molecules to diseases and functions
  • Discovering master regulators and hidden connections between upstream regulators and diseases and functions using Causal Network Analysis

Thursday April 28, 2016

Register for our EU webinar at 10:00-10:45 AM (CET)
Register for our U.S. webinar at 10:00-10:45 AM (PST)

 


Introduction to IPA

Explore how IPA’s knowledge and discovery tools allow you to relate the most recent literature findings to your research, create interactive and customized pathways using tools such as the BioProfiler and complex searches, and help in hypothesis generation. You can leverage all of this information instantly without needing to upload any of your own data.

Tuesday May 3, 2016

Register for our EU webinar at 10:00-10:45 AM (CET)
Register for our U.S. webinar at 10:00-10:45 AM (PST)


Formatting and uploading your data into IPA

Learn how to format your own data and upload it into IPA. IPA can upload your experimental data to enable you to perform pathways visualization, literature searches on the molecules in the dataset, and enable you to perform core analyses.

  • Format the incoming data to be analyzed by IPA
  • Upload the data to be analyzed
  • Explore your uploaded data / start an analysis

Thursday May 12, 2016

Register for our EU webinar at 10:00-10:45 AM (CET)
Register for our U.S. webinar at 10:00-10:45 AM (PST)


Interpreting the results of your Core Analysis in IPA

Learn how to view and interpret your analysis results in IPA. How to focus on the Core Analysis and the multiple ways of relating the molecules in your dataset to the body of information in the Ingenuity Knowledge Base. Discover more about:

  • Biological functions and diseases that are over-represented in your data, and the predicted directional effects on these functions and diseases
  • Signaling and metabolic canonical pathways enriched in your data
  • Predicted upstream regulators that might explain the changes observed in your data
  • Integrated Upstream Regulator results with Downstream Effects results to create causal hypotheses which explains what may be occurring upstream to cause particular phenotype or functional outcomes downstream
  • Molecular networks (algorithmically generated pathways describing potential molecular interactions in your experimental system)

Thursday May 19, 2016

Register for our EU webinar at 10:00-10:45 AM (CET)
Register for our U.S. webinar at 10:00-10.45 AM (PST)


Tips and tricks for doing microRNA analysis in IPA

Learn about IPA’s extensive microRNA content and how to upload and analyse your microRNA data in IPA. IPA’s microRNA Target Filter allows you to confidently, quickly, and easily identify and prioritize mRNA targets by exploring the related biological context, and by examining microRNA-mRNA pairings. Learn more about:

  • IPA’s microRNA content
  • Upload of microRNA data
  • microRNA Target Filter

Thursday May 26, 2016

Register for our EU webinar at 10:00-10:45 AM (CET)
Register for our U.S. webinar at 10:00-10:45 AM (PST)

 

 

Please see the recorded versions below available to you at any time!


Webinar recordings:

Introduction to newly added features in IPA

Learn how the newest features in IPA can help you derive more information for your research. You will discover more information about the new functionalities and improvements to IPA from the Spring, Summer, and Fall 2015 releases.

Discover more about:

  • Isoprofiler Beta
  • Gene heatmap in Comparison Analysis
  • Genetic gain/loss analysis
  • Improved Gene Isoform view
  • New client installer
  • New export options for publication quality images
  • Increased number of data types per observation that can be uploaded into IPA

Discover IPA (Introduction)

Explore how IPA’s knowledge and discovery tools allow you to relate the most recent literature findings to your research, create interactive and customized pathways using tools such as the BioProfiler and complex searches, and help in hypothesis generation. You can leverage all of this information instantly without needing to upload any of your own data.

Uploading data in IPA

Learn how to format your own data and upload it into IPA. IPA can upload your experimental data to enable you to perform pathways visualization, literature searches on the molecules in the dataset, and enable you to perform core analyses.

• Format the incoming data to be analyzed by IPA
• Upload the data to be analyzed
• Explore your uploaded data / start an analysis

Interpreting the results of your Core Analysis in IPA

Learn how to view and interpret your analysis results in IPA. How to focus on the Core Analysis and the multiple ways of relating the molecules in your dataset to the body of information in the Ingenuity Knowledge Base. Discover more about: • Biological functions and diseases that are over-represented in your data, and the predicted directional effects on these functions and diseases. • Signaling and metabolic canonical pathways enriched in your data. • Predicted upstream regulators that might explain the changes observed in your data. • integrated Upstream Regulator results with Downstream Effects results to create causal hypotheses which explains what may be occurring upstream to cause particular phenotype or functional outcomes downstream • Molecular networks (algorithmically generated pathways describing potential molecular interactions in your experimental system)

Tips and tricks for doing microRNA analysis in IPA

Learn about IPA’s extensive microRNA content and how to upload and analyse your microRNA data in IPA. IPA’s microRNA Target Filter allows you to confidently, quickly, and easily identify and prioritize mRNA targets by exploring the related biological context, and by examining microRNA-mRNA pairings. Learn more about:

  • IPA’s microRNA content
  • Upload of microRNA data
  • microRNA Target Filter