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The QIAGEN CLC Microbial Genomics Module provides tools and workflows for many bioinformatics applications, including microbiome analysis, isolate characterization, functional metagenomics and antimicrobial resistance characterization. The module supports the analysis of bacterial, viral and eukaryotic (fungal) genomes and metagenomes.

This training focuses on whole shotgun metagenomics taxonomic profiling. Specifically, we’ll cover:

• An overview of the different tools within QIAGEN CLC Microbial Genomics Module and the research areas supported

• Taxonomic profiling

• Importing data

• Utilization of metadata

• Downloading and managing references

• Taxonomic profiling workflow (analytical pipeline)

• Downstream processing of abundance tables

• Creating and exporting high-quality graphics

Cancer remains a leading cause of death among children and adolescents worldwide. While many childhood cancers are highly curable, outcomes vary dramatically, with survival rates ranging from 80% in high-income countries to as low as 30% in lower-income regions. These disparities highlight the urgent need for more targeted research into the genetic factors influencing cancer development, early detection and timely, effective treatment.

Despite its importance, pediatric cancers receive only about 4% of global cancer research funding, leaving significant gaps in our collective understanding. Comprehensive, high-quality data is vital to closing these gaps, driving evidence-based care improvements and informing both national and global health policy.

To help these efforts, the Catalogue of Somatic Mutations in Cancer (COSMIC) v102 release focuses on pediatric cancers, showcasing a wealth of genomic data from recent targeted screens. This webinar will:

• Explore selected highlights from the new release

• Leverage deep curation of patient metadata to compare alterations in childhood vs. adult cancers

• Demonstrate how COSMIC’s focus areas of stratification, cause and effect and clinical insights enable progress in this critically under-explored area

Based on recent feedback, we are hosting this 60 minute training focused on below 3 topics.

• How to increase memory in IPA for better loading of charts and networks (request from new users)

• How to generate Venn diagrams (request from new and experienced users)

• How to merge multiple datasets into a single file

Time and interest permitting, we are happy to cover other topics as well.

Welcome to HSMD Research, a free source of critical somatic data on the top 25 clinically significant genes. Designed for academic researchers, this knowledge base offers expert-curated insights into gene annotations, variant distribution, functional impact, clinical relevance and drug associations, proving a strong foundation for hypothesis generation and discovery.

With data from over 870,000 real-world clinical oncology cases and knowledge curated by highly experienced variant experts, HSMD Research can help you specify genes and variants of interest and identify the best-fit cell lines and disease models for your research.

In this webinar, ​discover HSMD Research’s capabilities with Dr. Umadevi Thirumurthi and learn more about its:

• Role in cancer research

• Interactive features

• Practical applications, including the study of tumor suppressors, oncogenes, targeted therapy responses, DNA repair mechanisms, etc.

It’s a tough time to be in research, but QIAGEN is committed to bringing more insights to your work, no matter what challenges you face.

Start investing in your research with our new features, OmicSoft Explorer and IPA Interpret. You can unearth research gold in our curated collection of ‘omics datasets, explore detailed pathway analysis reports and share your insights with anyone with a computer.

In this webinar, you'll learn how to:

• Search through our collection of ‘omics datasets (RNA-seq, scRNA-seq, etc.) curated from GEO, SRA, TCGA and more, based on your criteria

• Examine project details like experimental setup and sample metadata

• Identify biomarkers associated with conditions of interest

• Share pathway analysis reports and insights into disease pathology, drug mechanism of action, cellular processes and more

Also, you’ll receive live answers to any questions you have during the live webinar.

Join us for an insightful webinar where you'll discover how to navigate harmonized and curated sample data using Omicsoft Explorer and OmicSoft Studio. Learn how to effectively select patient-derived and cell line-derived mouse models tailored to your research needs.

• Discover how to identify and select relevant projects using OmicSoft Explorer

• Explore expression comparison data to analyze genes of interest effectively

• Learn how to download gene expression data for targeted comparisons

• Dive into sample-level data to pinpoint gene activity across selected samples, aiding in the selection of CDX models

• Create informative heatmaps to visualize expression patterns for genes of interest

This training will go over how QIAGEN CLC Genomics Workbench can be used to analyze Multimodal Panels data.

Trainer will cover

• How to import your data and metadata and download reference and other needed files

• How to use workflow and customize it

• How to visualize and export the results

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 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.

You will learn how to perform secondary analysis on your single cell RNA-seq data with the Workbench. 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. o Dimension reduction (UMAP, t-SNE) plots o Differential expression table for clusters, cell types, or combination of both o Heat map o Dot plots o 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.

QIAGEN Biomedical KB-HD is the high-quality, expert-curated biomedical knowledge base that powers QIAGEN Ingenuity Pathway Analysis. This webinar will focus on proposing new drug targets and biomarkers using the Neo4J graph database management system by mining the Biomedical KB-HD knowledge graph.

You'll learn how to:

• Associate a drug target with a disease indication of interest

• Identify causal intermediates that can serve as potential drug targets

• Identify biomarkers associated with the disease indication in the context of the mechanistic network being studied

• Study drugs and genomics variants associated with intermediates