tv.qiagenbioinformatics.com

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

In this webinar, the speaker will cover how to simplify your single cell RNA-seq analysis with biologist-friendly point and click tools.

• Generate high-resolution visuals and other files from your analysis for publications and biopharmaceutical discoveries

• Generate dimension reduction (UMAP, t-SNE) plots to understand differences between cell clusters/experimental conditions

• Identify and study clusters and cell types specific biomarkers using differential expression tables, gene expression heat maps, dot plots and violin plots

• Generate desired cell annotations using hashtags

• Visualize and investigate spatial transcriptomics plot using your Cell Ranger output to better understand cellular organization and generate hypothesis

• Use preconfigured but customizable pipelines/workflows for single-cell RNA-seq data

Precision medicine is rapidly transforming healthcare, and one of the most significant accelerators of its progress has been the dramatic reduction in cost. In this webinar, we explore how innovations in genomics and biotherapeutics are making advanced, personalized healthcare more accessible and affordable than ever before. Dr. George M. Church will examine how the cost of whole genome sequencing has been reduced from $3 billion per haploid genome—previously unusable in clinical settings—to just $300 per phased diploid genome today. We’ll also look at the economics behind cell therapy, such as blood transfusions (now as low as $200), and gene therapy technologies like mRNA vaccines (available for as little as $30).