Upcoming Webinars (updated Sept 22)
Sept 22 @ 11 AM, COSMIC: Describing millions of somatic mutations at high resolution across every form of cancer underpins precision oncology research
COSMIC is the world’s largest and most comprehensive somatic mutations resource. COSMIC’s contents are manually curated by PhD-level experts from high-quality scientific literature and trustworthy cancer programs like TCGA and ICGC.
Sept 23 @ 12 PM, Systems Analysis of an Organoid Model of Disease with QIAGEN IPA
Join us for a 60-minute training session on Systems Analysis of an Organoid Model of Disease with Ingenuity Pathway (IPA).
Through a series of short demonstrations, we will explore how to:
- Identify signatures of disease in model systems (canonical pathways)
- Explore the regulatory framework of disease and causal networks
- Validate model systems by automated comparison with public data sets
- Profile phenotypic/downstream effects of drug action
- Map disease networks among targets and indications
Sept 28 @ 1 PM, Expression data analysis using QIAGEN Omicsoft Studio
In this training, users will learn how to generate downstream outputs such as heatmaps, differential expression tables, PCA/PCOA plots, box plots and other visualizations from their count or expression data (transcriptomics, proteomics, metabolomics, etc.).
Sept 29 @ 11 AM, Harnessing insight from real-world oncology cases and QIAGEN knowledge to annotate variants and assess prevalence: introducing a new somatic database—our best kept secret
Across oncology applications, from research to molecular testing and pharmaceutical development, the ability to identify potentially actionable genetic alterations and exploit the molecular vulnerabilities of cancer is becoming increasingly difficult. Due to the sporadic nature of somatic cancers, the number of detected variants is exponentially growing, challenging scientists to confidently identify meaningful mutations that could influence or improve decisions in experimental design, at point-of-care, or in drug development.
In this webinar, we will introduce you to the Human Somatic Mutation Database (HSMD)—a new somatic database developed by QIAGEN that contains extensive genomic content relevant to solid tumors and hematological malignancies. Available as a web-based application, this expert-curated resource contains content from over 300,000 real-world clinical oncology cases combined with content from the QIAGEN Knowledge Base, providing gene-level, alteration-level, and disease-level information including clinically observed gene and variant frequencies across diseases. Users can easily search and explore mutational characteristics across genes, synthesize key findings from drug labels, clinical trials, and professional guidelines, and receive detailed annotations for each observed variant. In addition, users can interrogate a bibliography of over 150,000 variant specific PubMed articles and access individual summaries alteration-type specific information written by PhD scientists.
In this webinar, you will learn:
- What content sources power HSMD
- How to use and apply HSMD for multiple applications, including research, molecular testing, and pharmaceutical development
- When and where you can access HSMD
Beate Litzenburger, PhD
Global Product Director of Oncology
QIAGEN Digital Insights
Dr. Beate Litzenburger is the Global Product Director of Oncology for Clinical Decision Support Software and Interpretation Services at QIAGEN. Prior to joining the QIAGEN team, Dr. Litzenburger led clinical decision support and the interpretation of patient cases for several next generation sequencing protocols at MD Anderson Cancer Center. In this role, Dr. Litzenburger was responsible for providing alteration interpretation, drug, and clinical trial options to clinicians. Dr. Litzenburger earned her Ph.D. in molecular genetics from the University of Aachen in Germany and was a National Cancer Institute-supported post-doctoral fellow in the Department of Clinical Cancer Prevention at MD Anderson Cancer Center.
Sept 21 @ 1 PM, New user training: Large dataset analysis and knowledge base queries using QIAGEN Ingenuity Pathway Analysis (IPA)
Join us for a 90-minute training session for new users of QIAGEN IPA.
Users will learn how to:
• Upload their dataset (RNA-seq, scRNA-seq, proteomics, metabolomics and more) and perform interactive core/pathway analysis in IPA
• Understand the different result types produced (pathways, key regulators, impact on biological functions/diseases and more)
• Compare different experimental conditions (treatments, timepoints, 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
Offered on the 1st and 3rd Tuesdays of every month at 1:00 PM ET/ 10:00 AM PT (unless it falls on a US holiday)
Sept 22 @1 PM RNA-seq and Single Cell RNA-seq data analysis using QIAGEN CLC Genomics Workbench
In this 90-minute training, users will learn how to easily analyze RNA-seq and single-cell RNA-seq (scRNA-seq) data using QIAGEN CLC Genomics Workbench software.
For RNA-seq and scRNA-seq data, users will learn how to:
- Import fastq files, cell matrix files and metadata and how to download references
- Map reads to a reference genome and generate gene and transcript counts and QC reports displaying % mapped reads, knee plots, etc.
- Generate visualizations of results, such as heatmaps, differential expression tables, PCA/PCOA plots, t-SNE plots, UMAP plots, dot plots, Venn diagrams and others
- Annotate single-cell clusters overlain with gene expression
- Easily customize RNA-seq and scRNA-seq workflows
- Export publication-quality graphics, tables and reports
- Send differential expression table to QIAGEN Ingenuity Pathway Analysis directly from QIAGEN CLC Genomics Workbench