Support Session for IPA Certification
2025-01-09 13:00 - 14:30 (America/New_York) | Virtual - Americas - EST, United States
Join us for a 90-minute LIVE group session designed to address different technical questions regarding IPA certification. QIAGEN IPA scientists will answer different IPA related technical questions and clarify various topics per requests of IPA certification participants.

Please note:

We strongly encourage you to submit your questions ahead of time through this registration form.
While questions submitted through this registration ahead of time will be prioritized, we will try to answer as many questions as possible in these 90 min.
The purpose of this session is NOT for QIAGEN scientist to answer IPA certification exam questions but rather explain concepts surrounding these questions. For example, if you ask how many molecules are mapped vs unmapped in the exam dataset, the QIAGEN scientist will go over relevant steps of the data upload process rather than give you the number directly.
Only those who signed up for IPA certification are invited to this session.
Questions we have so far:

Explain course structure and exam related details.

Go over recent update (RNA-seq analysis portal, new pathways, GWAS etc.) and cover this in context of this course.

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Sanger sequencing, alignment, cloning, primer design and more using QIAGEN CLC Main and Genomics Workbench
2025-01-14 13:00 - 14:30 (America/New_York) | Virtual - Americas - EST, United States
This training will be relevant to both QIAGEN Main and Genomics workbench users and prospects who are interested in below analytics.

Alignment and tree construction
Sanger sequencing analysis
Cloning and primer design
Other molecular biology tools

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Discoveries from deeply curated TCGA expression data using OmicSoft Studio
2025-01-16 13:00 - 14:30 (America/New_York) | Virtual - Americas - EST, United States
While there is great interest in the scientific community to investigate drug targets and biomarkers from public immune-oncology data sources such as The Cancer Genome Atlas (TCGA), such investigation is hindered by difficulties in finding and combining related datasets to perform large-scale meta-analyses. This webinar will focus on how high-quality curated genomic repositories such as QIAGEN OmicSoft Lands immediately allows in-depth investigations across diverse data sources (GEO, CPTAC, TCGA, GTEx and more) to discover and validate candidate checkpoint inhibitor drug targets and biomarkers.
You will discover how to:

Use sample IDs to create a custom dataset from the deeply curated TCGA collection available within OmicSoft Lands
Easily download count information for each sample across all genes and create a local or server project
Calculate differential expression using metadata of interest
Generate volcano, PCA/PCOA, heatmap, expression and other plots for scientific discoveries
Upload the data to Ingenuity Pathway Analysis for hypothesis generation

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Single-cell RNA-seq, cell hashing and spatial transcriptomics
2025-01-20 14:00 - 15:30 (America/New_York) | Virtual - Americas - EST, United States
In this training, you will learn how to analyze and interpret your own single cell RNA-seq data using QIAGEN CLC Genomics Workbench starting with either FASTQ or matrix files.
Using CLC Genomics Workbench, you will learn how to perform secondary analysis on your single cell RNA-seq data. Specifically, you will learn how to:

Import your raw FASTQ or processed cell-matrix files.
Use pre-configured but customizable pipelines/workflows for single cell RNA-seq data.
Generate high resolution visuals and other files from your analysis for publications and biopharmaceutical discoveries, including dimension reduction (UMAP, t-SNE) plots, differential expression table for clusters, cell types or both, heat maps, dot plots and violin plots.
Learn how to use “Create Cell Annotations from Hashtags” for cell hashing (i.e., CITE-seq).
Dive into spatial transcriptomic analysis, the latest feature in the single cell RNA-seq module.

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Identifying critical drug-to-disease pathways using high-quality curated literature and ‘omics data
2025-01-21 13:00 - 14:00 (America/New_York) | Virtual - Americas - EST, United States
In the drug discovery pipeline, evaluating multiple pathways between a drug target and disease is crucial for identifying potential therapeutic approaches. By examining overlapping pathways between competing drugs, researchers can uncover novel drug targets, while isoform-specific findings may elucidate unexpected clinical trial outcomes. Filtering these pathways with real-world expression and proteomics data is essential to validate new hypotheses and avoid pursuing non-viable leads.
Leveraging tools such as Neo4j, Python, and R, powered by curated databases like the QIAGEN Biomedical Knowledge Base and OmicSoft Lands, enables scientists to efficiently explore potential mechanisms of action during both target discovery and later stages of drug development.
Attendees will learn to:

Apply pathfinding algorithms to navigate our comprehensive knowledge graph.
Qualify drug candidates using curated scRNA-Seq expression data and detailed cell type annotations.
Expand, filter, prioritize, and refine lists of biomarkers and drug targets through various advanced approaches.

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Tissue-specific target identification using QIAGEN OmicSoft high-quality ‘omics data
2025-01-23 13:00 - 14:00 (America/New_York) | Virtual - Americas - EST, United States
Disease pathogenesis is often context-dependent, specifically on tissue expression profiles within a given disease context. However, tissue expression profile of drug targets or potential targets is often difficult to ascertain. In this webinar, we will dive deep into the wealth of available deeply curated high quality ‘omics data (RNA-seq, scRNA-seq and more) in the OmicSoft Lands database using APIs to achieve the following:

Demonstrate how to obtain a disease gene signature of interest.
Compare the constitutive expression profile of that gene set across different tissues.
Find tissues with similar expression profiles.
Generate a hypothesis relating two tissue specific diseases to each other for the purpose of indication expansion.

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Test event 1
2025-08-31 08:00 - 17:00 UTC
Some quick page content so we can see the difference in output.
