tv.qiagenbioinformatics.com

Advances in transcriptomics, proteomics and multiomics are transforming animal science research, but extracting actionable biological insights remains a challenge. How do you move from differential expression lists to understanding mechanisms of disease, growth and immune response? Using an avian use case (chicken), we will show how QIAGEN Ingenuity Pathway Analysis (IPA) helps uncover critical pa...

Companion animal 'omics and genetic discoveries often sit in silos, with no systematic way to connect them into a discovery strategy. Using canine obesity as an example, we will explore how QIAGEN Ingenuity Pathway Analysis (IPA) bridges that gap in two stages. First, we mine canine obesity RNA-seq data to surface candidate biomarkers and drug targets, extracting pathway activity, upstream regulat...

Intestinal dilation syndrome (IDS) is an emerging disease of commercial laying hens that presents with severe intestinal shortening, segmental dilation of the small intestine, reduced egg production and high mortality. After over two decades of research, the underlying causes of IDS remain obscure, though an interesting pattern has emerged: its restriction to hens that lay brown eggs. Join Profess...

Drug discovery, clinical and translational teams have no shortage of promising therapeutic opportunities. But how do you efficiently choose the right one to develop, while avoiding potential biological, safety and clinical risks? See how to systematically evaluate repurposing opportunities for a GLP-1 receptor agonist using causal biomedical knowledge graphs and evidence from over 6.8 million clin...

QIAGEN OmicSoft APIs enable rapid access to harmonized multiomics datasets, including transcriptomics, genomics, single cell, proteomics and functional genomics data, complemented by deeply curated clinical, treatment, demographic and outcome metadata where available. Explore how researchers can use OmicSoft APIs to efficiently identify biomarkers, characterize disease biology, investigate treatme...

Modern ‘omics research generates vast amounts of complex data, creating a need for streamlined workflows that transform raw sequencing results into meaningful biological insights. In this webinar, we will show how you can leverage QIAGEN Digital Insights platforms for secondary and tertiary analysis to accelerate development and discoveries. Our robust workflow enables you to analyze next-generati...

Join this webinar to discover how Franklin by QIAGEN streamlines the entire rapid genome analysis workflow, helping laboratories move from raw sequencing data to clinically actionable reports in record time. Through a live demonstration, you'll see how Franklin combines AI-assisted variant prioritization, automated ACMG classification, phenotype-driven analysis and integrated clinical evidence to...

Biomedical knowledge graphs are powerful tools for organizing complex biological information and uncovering relationships that are difficult to see in traditional data formats. For part 2 of this series, we will show how researchers new to knowledge graphs can use them to support hypothesis generation, target discovery and data exploration. We will explore: - Knowledge graph fundamentals -&nb...

As the adoption of relational and deeply curated ‘omics databases increases, creating SQL queries has become a mandatory skill rather than a desirable one. For part 1 of this series, we will equip you with the know-how and best practices around designing SQL queries – no prior experience required. While we will use QIAGEN biomedical databases, the knowledge you acquire can be easily applied to oth...

Identifying molecular signatures for rare diseases is challenging, mainly due to limited sample sizes and heterogenous data. Researchers must often piece together fragmented evidence to uncover shared biological mechanisms. Though inescapable, this process can be more efficient. See how QIAGEN OmicSoft Lands and Ingenuity Pathway Analysis (IPA) streamlines biomarker signature discovery using curat...

For your RNA-seq data, you will learn how to: • Import FASTQ files, cell matrix files and metadata • Download and/or import reference and annotations files • Map reads to a reference genome • Generate gene and transcript counts • QC reports displaying % mapped reads etc. • Generate visualizations of results, such as heatmaps, differential expression tables, PCA/PCOA plots, Venn diagrams, Sankey pl...

Cyclospora cayetanensis remains an important focus of food safety, public health and parasitology research. As genomic resources and molecular surveillance efforts continue to grow, researchers gain new opportunities to investigate parasite diversity, genetic variation, transmission patterns and the biological mechanisms underlying infection. Our webinar explores how QIAGEN CLC Genomics Workbench...

Did you know that IPA can build networks from scratch? Using the QIAGEN Biomedical Knowledgebase, the database that powers IPA,  you can find connections between genes or proteins of interest, diseases, or relevant functions right within the application itself. Whether you are in your initial planning stages of hypothesis generation, trying to elucidate mechanism of actions, or simply looking...

Join us for an exclusive preview of the Summer 2026 release of QCI Interpret, QCI Interpret One and QCI Interpret Translational. Designed for current QCI Interpret users, this webinar will highlight new features, workflow enhancements and key updates arriving in July 2026. Learn how these changes may impact your laboratory, how to prepare for deployment, and best practices for making the most of t...

Per user request, we are hosting a training specifically focused on metabolomics data. In this training, the attendees will learn how to - Format, upload and start a pathway analysis for a metabolomics dataset - Identify and investigate critical pathways and regulatory networks - Export critical tabular outputs and publication quality high resolution images In addition, per registrant feedback, th...

The COSMIC Knowledgebase, the world’s leading expert-curated resource for somatic mutations in cancer, combines rigorous manual review with scalable computational approaches to keep pace with rapidly expanding scientific literature. In this webinar, we explore how artificial intelligence (AI) is integrated into the COSMIC curation workflow to support – rather than replace – expert decisi...

This webinar walks participants through a complete de novo transcript discovery workflow using QIAGEN CLC Genomics Workbench and the Transcript Discovery tools. Using a real-world dataset from the wild strawberry Fragaria vesca — combining PacBio long reads and Illumina short reads, attendees will learn how to move from raw RNA-seq data to a newly annotated reference genome ready for downstream ex...

Large-scale single-cell datasets are creating new opportunities to understand biology, model drug response, and accelerate discovery. As these datasets grow, two needs are becoming increasingly important: generating clean, high-quality single-cell data at unprecedented scale to train AI models and applying analytical frameworks that can turn complex results into biological insight. This webinar wi...

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 fro...

Good manufacturing practices (GMP) environments, such as biologics production facilities, require transparent, reproducible and audit-ready workflows. Here, we introduce a standardized short- or long-reads NGS-based workflow for viral detection using QIAGEN CLC Genomics Workbench Software, highlighting best practices to ensure sensitivity and specificity – and support reliable viral safety testing...

Neurodegenerative disorders linked to protein dysfunction are difficult to study because of the complexity of the underlying molecular interactions. A great example is TAR DNA-binding protein 43 (TDP-43), found in diseases like amyotrophic lateral sclerosis (ALS), Parkinson's disease and several types of dementia. Today, researchers are still trying to answer how TDP-43's activity translates into...

IPA is more than just an analysis program; it can also help you write grants and publications. With IPA, you gain access to biological insights backed by expert-curated findings and thousands of pre-analyzed multi-omics datasets. You will learn: - To interrogate, predict and interpret     > Interrogate critical pathways, predict regulators causing your observed expression changes...

AI excels at identifying patterns and generating insights across large datasets, but its output quality depends heavily on its training data. Meanwhile, projects involve making critical decisions – decisions that require a nuanced understanding of biology, subject-matter expertise and experience that AI lacks. That’s where humans come in. Our fireside chat will explore a hybrid workflow that combi...

In the absence of genetic testing, is there a clear way forward with diagnosing and treating rare genetic diseases? A great challenge in rare disease research is finding enough affected individuals to create large cohorts. In addition to limited logistical or financial access to NGS, clinicians are often left to rely solely on observed symptoms. Unfortunately, clear guidelines on facilitating diag...

Public neuroscience datasets are abundant, but they prove difficult to translate into targets due to complexities with brain regions, cell types and more. Using Alzheimer’s disease as a case study, our webinar will explore how you can combine causal relationship evidence with deeply curated neurodegenerative and neuroinflammatory disease cohorts to prioritize targets relevant to the central nervou...