tv.qiagenbioinformatics.com

From ‘Omics to Insights Part 1: IPA Dataset Prep and Core Analysis Setup

Fri, 13 Mar 2026 11:16:05 GMT

This is the first part of a series on how you can easily turn your ‘omics data into actionable insights using QIAGEN Ingenuity Pathway Analysis (IPA). Here, we'll focus on setting up your dataset for IPA upload and analysis.

You will learn:

The IDs, measurement types and formats that IPA supports
How IPA uses your data for statistical tests and prediction scoring
The different types and parameters of a Core Analysis
Best practice tips from our expert

About this series

From ‘Omics to Insights: Data Analysis Fundamentals with IPA

Do you find ‘omics data analysis overwhelming? Good news: it doesn’t have to be.

Discover how you can easily turn your ‘omics data into actionable insights with QIAGEN Ingenuity Pathway Analysis (IPA), an advanced tertiary analysis program for your RNA-seq, proteomics or metabolomics dataset. Learn how to search the QIAGEN Knowledge Base, the rich, expert-curated content that powers IPA. Explore the biological landscape around a gene of interest, formulate promising hypotheses and uncover potentially novel connections – without worrying about programming or paywalls.

New user training: Large dataset analysis and knowledge base queries using...

Tue, 09 Dec 2025 21:10:32 GMT

Join us for a 90-minute training session for new users of QIAGEN IPA. Users will learn how to: • Upload their dataset (RNA-seq, scRNA-seq, proteomics, metabolomics and more) and perform interactive core/pathway analysis in IPA • Understand the different result types produced (pathways, key regulators, impact on biological functions/diseases and more) • Compare different experimental conditions (treatments, timepoints, single-cell clusters, disease types and more) and identify similarities and contrasts • Generate a network even without a dataset or experimental design for hypothesis generation

QIAGEN IPA deep-dive and new features training, America - Nov 3 2021

Tue, 09 Dec 2025 21:10:03 GMT

As requested by many users, your QIAGEN Digital Insights team is excited to introduce QIAGEN Ingenuity Pathway Analysis (IPA) deep-dive trainings. In these three-hour training sessions, we will discuss the following topics:

Part 1: Deep dive into QIAGEN IPA core and comparison analyses

Part 2: Deeper dive into how to use QIAGEN IPA even without user data

Drug treatment, toxicology and target safety assessment using QIAGEN...

Mon, 25 Aug 2025 10:43:25 GMT

In this 90-minute training, users will learn how to do drug treatment, toxicology and target safety assessment related discoveries using QIAGEN Ingenuity Pathway Analysis (IPA) and QIAGEN Omicsoft Lands.

Using public data from GTEx (normal tissue), GEO, cancer collections and more, attendees will learn how to use Omicsoft Lands to:
• Investigate a drug target or biomarker expression across different normal tissues, disease conditions, treatments and more
• Correlate expression of 2 or more genes
• Identify a list of genes or biomarkers specific to treatment, disease, normal tissue, cell type and more

Using findings from peer-reviewed publications and other sources, attendees will learn how to use QIAGEN IPA to:
• Investigate the impact of targeting a gene/protein on different toxicological and biological functions
• Derive tox findings for a gene of interest from QIAGEN IPA’s knowledgebase
• Identify and study toxicity-related pathways, regulators and functions for an internal dataset or a public dataset
• Compare different drug treatments, other conditions or multi-omics data for novel discoveries

Part II: Formatting and Uploading your Data into IPA

Tue, 01 Jul 2025 11:37:04 GMT

Learn how to format your own data and how to 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 to perform the many different types of analyses offered in IPA. In this webinar we will use phosphoproteomics data as an example dataset.

Interested in learning more?

Click here

Interpreting the Results of Your Phosphoproteomics Analysis in IPA

Mon, 30 Jun 2025 13:38:38 GMT

Learn how to view and interpret your Phosphoproteomics Analysis results in IPA. Find out how to understand your Phosphoproteomics Analysis and about the multiple ways of relating the molecules in your dataset to the body of information in the Ingenuity Knowledge Base.

Interested in learning more?

Click here

New user training: QIAGEN Ingenuity Pathway Analysis (IPA)

Mon, 30 Jun 2025 13:31:46 GMT

New user training: Large dataset analysis and knowledge base queries using QIAGEN Ingenuity Pathway Analysis (IPA)

Users will learn how to:
• Upload their dataset (RNA-seq, scRNA-seq, proteomics, metabolomics and more) and perform interactive core/pathway analysis in IPA
• Understand the different result types produced (pathways, key regulators, impact on biological functions/diseases and more)
• Compare different experimental conditions (treatments, timepoints, single-cell clusters, disease types and more) and identify similarities and contrasts
• Generate a network even without a dataset or experimental design for hypothesis generation

Understanding the P-Value of Overlap Statistic in IPA

Fri, 27 Jun 2025 21:28:20 GMT

Learn how to interpret your p-value of overlaps results in IPA. You can gain a deeper understanding of the right-tailed Fisher’s Exact Test, why it’s used in IPA, how the results are calculated, and caveats to keep in mind when interpreting your results.
For more information visit our website

Sections:

0:00-1:09 Introduction to the video. The two types of p-values that are relevant for IPA and how they differ.

1:09-2:25 History of the Fisher’s Exact Test: the “Lady Tasting Tea” experiment.

2:25-5:50 Hypothesis testing for enrichment in IPA. The reference set, the null hypothesis used, and the overlap of molecules defined.

5:51-7:58 Why the right-tailed Fisher’s Exact Test is used in IPA.

7:58- 8:41 Explanation of sampling and expected proportions from the hypergeometric distribution.

8:41-9:34 Defining significance levels in the distribution. Why only the right-tailed, rather than two-tailed test, is considered in IPA.

9:35-11:04 The p-value defined and default significance level used in IPA.

11:04-11:12 How the p-value is calculated. How data is entered into the 2 x 2 contingency table and the formula used.

11:13-13:34 Example calculation and interpretation using the “Lady Tasting Tea” experimental data. Why the p-value of overlap calculations are Exact.

13:35-15:09 Transcriptomics example: Number of molecules tested and how they are categorized.

15:10-16:10 Transcriptomics example: data in 2 x2 contingency table, p-value calculation performed and interpreted.

16:11-18:07 Caveats for using and interpreting the p-value of overlap statistic in IPA.

18:08-18:36 Where to find more information about IPA and Customer Support information.