tv.qiagenbioinformatics.com

Aptly called "bench-to-bedside", translational research involves developing and testing new techniques and therapies for better disease management and patient care. This field plays a pivotal role in ensuring that discoveries realize their potential for real-world impact instead of staying confined to the lab.

Join us in exploring how two tools can accelerate translational cancer research. Human Somatic Mutation Database (HSMD) Professional is an expert-curated somatic knowledgebase that incorporates real-world cancer patient data, while QCI Interpret Translational (QCI-IT) is a variant annotation and interpretation tool that provides automated ACMG/AMP classification, phenotype-specific insights and more.

You’ll learn how:

• HSMD, which includes data from over 870K real-world oncology cases, provides easily accessible and reliable data for the identification of clinically significant and actionable mutations

• QCI-IT can process uploaded variant data to prioritize impacting symptoms, pathways and genes implicated in drug response or disease progression

• HSMD and QCI-IT can be used in tandem to efficiently transition from exploratory insights to actionable decisions

This training will focus on how a user can analyze their epigenomics data using QIAGEN CLC Genomics Workbench.

Specifically, the trainer will cover how to

• Import the raw sequencing data

• Download or import reference, metadata and other needed files

• Mapping reads to a reference genome

• Calling and visualizing peaks

• Export graphical and tabular results

In addition, per registrant feedback and the trainer discretion additional topics such as customizing the workflow, how to send data to Ingenuity Pathway Analysis and more may be covered.

This webinar will introduce users to the tools available for short reads (Illumina) as well as long reads (Oxford Nanopore, Pac Bio) de novo assembly in CLC Genomics Workbench. It will also go over other useful functionalities such as BLAST and genome finishing.

Participants will learn the following:

o Download and install needed plugins.

o Import data required for the analysis.

o Run the de novo assembly workflow.

o For long reads, improve a de novo assembly by polishing with short, high-quality reads.

o Map reads to a reference and visualize an assembly.

o For long reads, correct raw long reads for further analysis.

o Use BLAST to investigate the contigs.

o Analyze and assemble contigs through Genome Finishing tools.

Join us for three 60-minute training sessions for QIAGEN Ingenuity Pathway Analysis (IPA).

In this training, you’ll learn how to:

Monday June 9 – Session#1: 1pm ET/10am PT • IPA general overview • Upload your dataset (RNA-seq, scRNA-seq, proteomics, metabolomics and more) • Set up core/pathway analysis in IPA

Tuesday June 10 – Session#2: 1pm ET/10am PT • Understand the different result types produced (pathways, key regulators, and more) • Customize chart outputs using filters and different chart types like a volcano plot like bubble chart

Wednesday June 11 – Session#3: 1pm ET/10am PT • Compare different experimental conditions (different ‘omics data, treatments, time points, 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

If you are able to attend, then we will have additional scientists on the call for Q&A. If you are unable to attend, registering will still allow you to view the recordings.

Join us for three 60-minute training sessions for QIAGEN Ingenuity Pathway Analysis (IPA).

In this training, you’ll learn how to:

Monday June 9 – Session#1: 1pm ET/10am PT • IPA general overview • Upload your dataset (RNA-seq, scRNA-seq, proteomics, metabolomics and more) • Set up core/pathway analysis in IPA

Tuesday June 10 – Session#2: 1pm ET/10am PT • Understand the different result types produced (pathways, key regulators, and more) • Customize chart outputs using filters and different chart types like a volcano plot like bubble chart

Wednesday June 11 – Session#3: 1pm ET/10am PT • Compare different experimental conditions (different ‘omics data, treatments, time points, 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

If you are able to attend, then we will have additional scientists on the call for Q&A. If you are unable to attend, registering will still allow you to view the recordings.

Every year, adverse drug events affect over 134 million patients and claim 2.4 million lives globally. But what if there was a faster, smarter way to predict and prevent these outcomes—before they happen?

Join us to discover QIAGEN Pharmacogenomic Insights (PGXI), a revolutionary tool built to help labs and pharmaceutical companies turn complex pharmacogenomics (PGx) data into clear, actionable insights—fast. PGXI delivers instant access to expertly curated, up-to-date information from trusted sources like the FDA, CPIC, DPWG, PharmVar, and PubMed, all in one seamless platform.

Proven through the annotation of more than 1.6 million PGx findings across 250+ labs, PGXI integrates effortlessly into any workflow, whether you're working with NGS, arrays, or hybrid models. In just minutes, you can confidently identify drug-gene associations, uncover conditions linked to critical variants, and access peer-reviewed evidence—all customized to your specific genes of interest.

In this webinar, you’ll learn how PGXI can:

• Help you efficiently and consistently pinpoint medications linked to adverse effects.

• Save time and cut costs with centralized, expert-curated content.

• Future-proof your lab by scaling your PGx capabilities with confidence.

Join us for three 60-minute training sessions for QIAGEN Ingenuity Pathway Analysis (IPA).

In this training, you’ll learn how to:

Monday June 9 – Session#1: 1pm ET/10am PT • IPA general overview • Upload your dataset (RNA-seq, scRNA-seq, proteomics, metabolomics and more) • Set up core/pathway analysis in IPA

Tuesday June 10 – Session#2: 1pm ET/10am PT • Understand the different result types produced (pathways, key regulators, and more) • Customize chart outputs using filters and different chart types like a volcano plot like bubble chart

Wednesday June 11 – Session#3: 1pm ET/10am PT • Compare different experimental conditions (different ‘omics data, treatments, time points, 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

If you are able to attend, then we will have additional scientists on the call for Q&A. If you are unable to attend, registering will still allow you to view the recordings.

While there is great interest in the scientific community to investigate drug targets and biomarkers from public immune-oncology data, such investigation is hindered by the difficulty 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 learn how to do the following in the graphical user interface and through APIs:

- Easily identify relevant samples using extensive manually curated clinical metadata

- Visualize and identify checkpoint inhibition biology related drug target and biomarkers expression patterns using expression data (RNA-seq, scRNA-seq, proteomics etc.)

- Reveal how the expression of a group of biomarkers (or genes/proteins of interest) correlates in normal and disease tissue

This training will focus on how a user can analyze their long reads data using QIAGEN CLC Genomics Workbench.

Specifically, the trainer will cover how to

• Import the long reads data

• Download or import reference, metadata and other needed files

• Process such data and generate downstream RNA-seq outputs

• Export high resolution graphics and tables

In addition, per registrant feedback and trainer discretion additional topics such as customizing the workflow, how to send data to Ingenuity Pathway Analysis, Sankey plot and more may be covered.

In this era of precision medicine, do you have what it takes to leverage next-generation sequencing (NGS) data towards better cancer research, diagnostics and patient care?

Join our interactive masterclass on June 3 and learn how Human Gene Mutation Database (HGMD) Professional can help you uncover germline variant insights using expert-curated data. Explore almost 50 years of curated variant knowledge, spanning over 17,600 genes and over 38,000 phenotypes.

See how you can use HGMD Pro to:

• Distinguish clinically significant variants from VUS  

• Use batch search vs. advanced search  

• Curate genes using HGMD Pro’s accurate, up-to-date information  

• Identify the predominant genetic variant in a specific gene to understand the genetic mechanisms underlying associated diseases  

• Answer other variant-related questions