tv.qiagenbioinformatics.com

The updated ICH Q5A(R2) guidelines recommend next-generation sequencing (NGS) as the preferred approach for detecting adventitious agents. From cell line development and viral clearance studies to contamination tracing and product characterization, NGS-based tests outperform older assays in efficacy, sensitivity and reproducibility. This forms the basis for implementation by leading regulatory authorities, including the FDA, EMA, PMDA, and MFDS, signaling a global shift in biosafety testing.

Ensure easy compliance with these new directives by using a robust, computer systems validation (CSV)-friendly software platform that supports transparency and traceability throughout your biologics production pipeline.

You will learn:

• The impact of current guidelines, including ICH Q5A(R2), FDA 21 CFR Part 11 and European Pharmacopeia Chapter 2.6.41 on biologics production

• Key requirements on data integrity, audit trails, user authentication and more, for setting up GMP environments

• How QIAGEN CLC Genomics Workbench and Server support achieving GMP compliance

This is the second 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 introduce you to the QIAGEN Knowledge Base and the different sets of results you can get from an IPA Core Analysis.

You will learn:

• How to predict the activity of enriched pathways, regulators, diseases and more

• How to validate your results by comparing with published datasets

• How to identify key biological themes in your data with the help of AI summaries

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.

Now, you can access and share the interpretative power of QIAGEN Ingenuity Pathway Analysis (IPA) in an easy-to-consume format – without installing any extra software. IPA Interpret identifies and summarizes the biological themes in your results with the help of AI, creating a shareable, interactive report.

You will learn how to:

• - Create an IPA Interpret report that can be easily shared with others

• - Gain valuable insight into critical biological pathways, key regulators and more with just a few clicks

• - Easily customize charts, such as the highly popular volcano bubble chart, taking advantage of new features introduced with recent updates

• - Export both graphical and tabular results

In this 90-minute training session, you will learn how to identify target mRNAs for your miRNAs of interest and associate them with pathways, diseases, biological functions, tissues and cell types.

Topics that will be covered include:

• How to analyze miRNA-seq datasets alone or both miRNA and corresponding mRNA datasets together

• How to use QIAGEN IPA without a dataset, using miRNA IDs

• Introduction to databases and curated content specific to miRNA

• How to effectively apply various filters and functionalities to identify biomarkers, key targets and biological mechanisms

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.

As hereditary NGS testing grows more complex, clinical labs must interpret variants with greater speed and accuracy. This webinar introduces Franklin by QIAGEN, now integrated with HGMD Professional, combining AI-powered workflows and automated ACMG annotation with the leading expert-curated germline database. Together, they enable faster, evidence-backed interpretation, reduce manual review, and boost reporting confidence by minimizing missed clinically relevant findings.

In this webinar, you’ll see how Franklin + HGMD accelerates variant matching, streamlines VUS assessment, supports long-read sequencing, and delivers instant access to curated clinical and functional evidence—all through a unified interpretation workflow.

Key highlights include:

• Integrated ACMG-based annotation + automatic literature curation for evidence-backed interpretation

• Instant variant matching to quickly identify known, reported, or novel variant

• Faster VUS resolution with direct access to relevant publications and functional data

• Minimal manual literature search with direct links to HGMD Professional in-platform

• Long-read sequencing support for interpreting complex alleles and structural variants

As hereditary NGS testing grows more complex, clinical labs must interpret variants with greater speed and accuracy. This webinar introduces Franklin by QIAGEN, now integrated with HGMD Professional, combining AI-powered workflows and automated ACMG annotation with the leading expert-curated germline database. Together, they enable faster, evidence-backed interpretation, reduce manual review, and boost reporting confidence by minimizing missed clinically relevant findings.

In this webinar, you’ll see how Franklin + HGMD accelerates variant matching, streamlines VUS assessment, supports long-read sequencing, and delivers instant access to curated clinical and functional evidence—all through a unified interpretation workflow.

Key highlights include:

• Integrated ACMG-based annotation + automatic literature curation for evidence-backed interpretation

• Instant variant matching to quickly identify known, reported, or novel variant

• Faster VUS resolution with direct access to relevant publications and functional data

• Minimal manual literature search with direct links to HGMD Professional in-platform

• Long-read sequencing support for interpreting complex alleles and structural variants

Accurate clinical interpretation of somatic cancer variants is critical for diagnosis and guidance of precision oncology treatment. Without shared standards, laboratories and clinical decision-support (CDS) systems have implemented independent approaches, leading to significant variability and highlighting a need for standardization. 

Through a collaborative effort, ClinGen, the Cancer Genomics Consortium (CGC) and the Variant Interpretation for Cancer Consortium (VICC) have developed a framework for standardized classification. In this webinar, we will evaluate these standards and compare their classifications with results from the QIAGEN Clinical Insight (QCI) Interpret CDS system.

You will learn: 

• Understand ClinGen/CGC/VICC standards for variant classification
  Learn how these expert-developed guidelines define and standardize somatic cancer variant classification.

• Compare software classifications with guideline-based human assessments
  See how classifications from the ClinGen/CGC/VICC standards compare with those generated by QCI Interpret.

• Best practices to use guidelines and tools together
  Discover how to combine expert guidelines with clinical decision support tools for more reliable variant interpretation.

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.

This webinar will introduce you to the Long Read Support plugin for Oxford Nanopore and PacBio sequencing reads in QIAGEN CLC Genomics Workbench.

Learn how to:

• - Download and install needed plugins

• - Import data required for the analysis

• - Perform long read de novo assembly

• - Map reads to a reference and visualize an assembly

• - Use BLAST to investigate the contigs

• - Use additional long read tools: polish with short reads, structural variant calling

• - Use genome finishing tools: analyze and assemble contigs

• - Use analytical tools: RNA-seq analysis for long reads, classify long read amplicons for metagenomics