Part 4 - Learn how to understand biological mechanisms in transcriptomics or proteomics datasets using Ingenuity Pathway Analysis and Analysis Match

QIAGEN IPA

Part 4 - Learn how to understand biological mechanisms in transcriptomics or proteomics datasets using Ingenuity Pathway Analysis and Analysis Match

3,111 views

March 20, 2020

The phenomenal amount of data available in public ‘omics databases allows researchers to make important discoveries in ways never before possible. However, it’s not always easy to use these resources to find the data that is most relevant to your studies.

At QIAGEN, we have introduced an innovative solution in our market-leading QIAGEN Ingenuity Pathway Analysis (IPA) software: Analysis Match. This feature allows you to translate your molecular data into useful knowledge with just a few clicks. Automatically match your analyses to those generated from over 310,000 individual samples from over 52,000 publicly available human, mouse and rat gene expression datasets that have been processed using QIAGEN Omicsoft Array Studio and QIAGEN IPA software. Analysis Match allows you to compare the predicted biology of your dataset, making the masses of publicly-related data immediately accessible and easily interpretable.

In this webinar, you will gain an understanding of the power of Analysis Match via a case study of gemfibrozil-treated mice and how to quickly identify publicly-available datasets showing similar and different biological effects.

You will learn how Analysis Match can help you to:

Build confidence in your results by identifying shared biology across disparate diseases, tissues treatments and more
Develop more significant insights into the specific drivers underlying your experimental results

Identify key regulators/pathways shared across experimental groups

Evaluate with ease critical hypotheses across an extensive collection of public data
Obtain results to help you identify biomarkers, biological mechanisms of action, candidates for drug repurposing and more

Interested in learning more or trying IPA? Click here.