Explore how QIAGEN Ingenuity Pathway Analysis (IPA) can accelerate bioengineering research by powering insights into molecular mechanisms, signaling pathways and gene networks. Whether you are working on synthetic biology, tissue engineering or biomaterials, IPA helps translate ‘omics data into actionable biological understanding. See how you can use IPA to design experiments, interpret complex datasets and uncover novel therapeutic targets.

• Understand how IPA supports transcriptomics, proteomics and metabolomics data interpretation.

• Learn how to identify key regulators, canonical pathways and molecular interactions relevant to bioengineering applications.

• Discover how to predict upstream drivers and downstream effects of gene expression changes.

• See how IPA can guide hypothesis generation and experimental planning.

• Explore real-world applications of IPA in synthetic biology, regenerative medicine and biomaterials development.

Accelerate discovery by transforming how your team collaborates with QIAGEN Ingenuity Pathway Analysis (IPA). You already know that IPA helps scientists rapidly interpret the causal biology behind their data—identifying upstream regulators, pathways, and mechanistic networks with ease. In this 45-minute vision-generating session, we’ll demonstrate how enterprise-level features in IPA can help your organization move from isolated analyses to a connected, insight-driven discovery engine.

Attendees will learn how to:

• Automate data integration using the IPA Upload API to seamlessly send differential expression results and trigger Core Analyses—making IPA a routine part of your analysis pipeline.

• Streamline collaboration with Collaborative Workspaces (CWS), where team members can automatically access shared results without manual coordination.

• Leverage collective knowledge through Analysis Match, which compares new results against your organization’s entire library of analyses—surfacing relevant compounds, disease models, or experimental signatures in seconds.

Whether you're scaling up internal screening efforts or aligning cross-functional teams, this webinar will show how IPA can unify your data and accelerate your path to discovery.

Join us for a 90-minute training session for new users of QIAGEN IPA.

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

There is an almost incomprehensible amount of diverse, non-standardized ‘omics data deposited in different public sources such as GEO, SRA, TCGA, GTEx and others. Scientists who are interested in biomarker discovery and investigation using such data run into the challenge of finding time and resources to locate studies of their interest and then making it usable by cleaning and standardizing these data. Accordingly, this training is focused on how scientists facing the above challenges can use OmicSoft Lands which has manually curated, unified data which is flexibly accessed through both a web-based portal and APIs.

• Easily and effectively locate RNA and protein expression data of interest (specific diseases, drug treatments, tissues etc.) using the web-based portal as well as OmicSoft Lands APIs

• Conveniently generate charts comparing expression across different conditions of user interest (example disease vs normal, treated vs untreated, responders vs non responders and more)

• Export results in both tabular and graphical formats

Discover how QIAGEN Ingenuity Pathway Analysis (IPA) and OmicSoft Studio empower researchers to uncover hidden synergies within their existing drug portfolios. Whether you're exploring new indications or repurposing known compounds, these tools provide a data-driven framework to accelerate discovery and reduce development costs.

Learn how to:

• Diagram their current pipeline of drugs, targets and indications using IPA’s network construction and overlay tools

• Introduce a new gene signature and assess its interaction with known targets and pathways

• Query curated real-world datasets from OmicSoft Lands to validate predicted interactions and uncover novel therapeutic opportunities

• Compare gene profiles against disease vs. normal datasets to identify candidates for indication expansion

Join us to see how integrating deeply curated ‘omics data with predictive analytics can transform your drug development strategy.

This hands-on workshop will cover a highly requested use case using OmicSoft Explorer and IPA Interpret, two new features that QIAGEN IPA* and OmicSoft customers can now access.

Specifically, the trainer will go over how to:

• Easily search for deeply curated high-quality 'omics datasets (RNA-seq, scRNA-seq, etc.) based on user-defined criteria (disease name, drug treatment, etc.) curated from sources such as GEO, SRA, TCGA and more

• Explore project details to gain a better understanding of the experimental setup and sample metadata

• Study volcano plots to identify biomarkers associated with conditions of interest

• Generate sharable pathway analysis reports that provide insights into disease pathology, drug mechanism of action, cellular processes and more

*with a premium license.

IPA Interpret and OmicSoft Explorer are now available through both IPA and OmicSoft. Learn more: https://qiagen.my.salesforce-sites.com/KnowledgeBase/KnowledgeNavigatorPage?id=kA4Sc00000023mbKAA&categoryName=BioX

In this webinar, the speaker will go over how to:

• Identify critical pathways and networks in your single cell data, giving you insight into biological mechanisms

• Discover novel regulators, master regulators and biomarkers associated with different cell types

• Compare different cell clusters through pathways/networks activity heatmap to understand differences between your cell types or experimental groups

• Generate interactive IPA Interpret reports for sharing and collaboration

• Export high resolution images and tabular results for posters, publications and biopharma reports

Pre-clinical toxicology studies generate complex datasets that require robust interpretation to identify potential safety liabilities early in drug development. QIAGEN Ingenuity Pathway Analysis (IPA) can help uncover mechanistic insights, predict toxicity outcomes and support decision-making in pre-clinical safety assessments. Explore how you can apply IPA to ‘omics data to identify toxicity signatures, understand mode of action (MoA) and prioritize biomarkers.

· Overview of QIAGEN Ingenuity Pathway Analysis

· Find transcriptomic and proteomic data from pre-clinical and clinical studies and gain mechanistic insights using OmicSoft Explorer and Ingenuity Pathway Analysis

· Visualize and interpret complex biological relationships that may be behind toxicity mechanisms using network construction

· Prioritize candidate biomarkers for safety monitoring using biomarker tools and OmicSoft Land Explorer

Are you new to QIAGEN Ingenuity Pathway Analysis (IPA) or interested in expanding your skill set? Join us as we learn more on large dataset analysis and knowledge base queries using QIAGEN IPA.

You’ll learn to:

• Upload multiple dataset types (e.g., RNA-seq, proteomics, metabolomics) and perform interactive core/pathway analysis in IPA

• Learn how to interpret different results, including pathways, key regulators, impact on biological functions/diseases and more

• Compare different experimental conditions (e.g., single-cell clusters, disease types) and identify similarities and contrasts

• Generate a network for hypothesis generation, even without a dataset or experimental design

Already have an IPA license? Install IPA and start using it now:

https://qiagen.showpad.com/share/CBv30blCPKFDUYHRWtAvI

Learn more about IPA or request a free trial: https://digitalinsights.qiagen.com/ipa