Discovery and Research

High-quality biomedical relationships knowledge is the cornerstone of modern and innovative data- and analytics-driven drug discovery. Yet this knowledge is locked in thousands of publications and dozens of databases. This webinar will show you how to unlock this knowledge and use it to strengthen your efforts in data science-driven drug discovery. In this webinar, you'll learn about: High-quality biomedical relationships knowledge: What it is and how to access it Knowledge graphs and knowledge graph analysis Artificial intelligence (AI)-driven target identification and drug repositioning using knowledge graphs and biomedical relationships Disease subtyping and biomarker identification based on functional features Target, disease and drug intelligence portals: Application development and data integration leveraging biomedical relationships Don't miss this opportunity to discover how to give your drug discovery programs a data science-driven advantage by leveraging high-quality biomedical relationships knowledge.

One of the challenges we are facing today is the high cost and slow pace of drug development for many disease areas such as cancer, CNS, rare diseases etc. Repurposing drugs for new indications will have a shorter developmental time, lower cost, and less safety risk than the traditional drug development process. Join us for this 60-minute Webinar on Drug repurposing: from large-scale biological data to therapeutics. This one-hour event will show how our platform enables biologists to leverage transcriptomics and literature-curated biological data for in-silico drug repositioning and repurposing. Through a series of short demonstrations, we will explore: • A systems biology approach to discover new uses of existing FDA-approved drugs • Accelerate drug discovery process and generate novel hypotheses from high-quality omics and literature curated data • Estimate network of genes potentially perturbed by drugs and integrate it with drug and disease gene expression signatures • Study how targets of interest are expressed across different diseases and tissues Our system uses millions of curated literature findings in the QIAGEN/ IPA knowledgebase and the OmicSoft digital warehouse. The presentation is intended for both those familiar with Ingenuity Pathway and newcomers interested in learning more.

In this 90-minute training, users will learn how to easily analyze wastewater samples to detect COVID-19 using QIAGEN CLC Genomics Workbench software. Users will learn how to: • Importing reads • Open and modify prebuilt workflow (analysis pipeline) • Install and execute workflow • Review QC reports • Visualization of genome • Export of consensus sequence in FASTA format to upload to Pangolin • Create a SNP tree of the consensus sequence and overlay Pangolin information • Export graphical and tabular resultsLearn more about out SARS-CoV-2 resources here.

Three-dimensional (3D) cell culture structures like spheroids and organoids can be used to better understand complex diseases and deliver insights into potential theraputic opportunities. They are also complementary to two-dimensional (2D) cell cultures and in vivo models. These model systems offer scientists a detailed view of organ development, new insights on human development and disease, improving drug discovery and creating new approaches to precision medicine endeavors. Accordingly, this training will focus on using QIAGEN Ingenuity Pathway Analysis (IPA) and Omicsoft to study gene signatures in ‘omics data related to disease mechanisms and exploring drug action using organoid models. During this 90-minute training, using Ingenuity Pathway Analysis/Omicsoft in combination with organoid data, attendees will learn how to: • Quickly identify and study impacted pathways • Establish biological mechanism underlying the diseases and drug treatments • Easily compare datasets of interest with other user or public data pertaining to 2D cultures, 3D organoid cultures, in-vivo models or clinical studies to generate a strong hypothesis • Export high quality graphical and tabular results Speaker: Sumana Chintalapudi, Field Application Scientist, QIAGEN Digital Insights

QIAGEN Ingenuity Pathway Analysis (IPA) reveals the hidden upstream drivers and downstream outcomes in your toxicogenomics datasets. Put those results into context using Analysis Match with over 50,000 pre-analyzed datasets for human, mouse and rat. Explain the causes and effects in your studies so you can generate hypotheses to develop better drugs, biomarkers and more. In this webinar you will learn how QIAGEN IPA: • Is supported by QIAGEN’s Knowledge Base of over 7 million findings curated from the biomedical literature • Automatically makes predictions about toxicologically-relevant biology • Provides contextually relevant results in seconds when used with the added capability of Analysis MatchInterested in learning more?Click here Speaker: Stuart Tugendreich has a Bachelor’s degree in Biochemistry from the University of California,Berkeley and holds a Ph.D.in Molecular Biology and Genetics from the Johns Hopkins University School of Medicine. He did his postdoc at University of California,San Diego, and upon completion worked at Iconix Biosciences and Merck Pharmaceuticals. Stuart joined Ingenuity in Redwood City, California in 2009 and is now Global Product Manager for QIAGEN IPA.

Is it possible to become reinfected with SARS-CoV-2? If so, how can we identify and confirm reinfection? What tools can we use to better identify prevalent and emerging strains of SARS-CoV-2? Joel Sevinsky, Principal at Theiagen Consulting, is an expert in bioinformatics in the public health space and coauthor of a recent paper exploring the genomics evidence for reinfection with SARS-CoV-2 that was published in The Lancet Infectious Diseases. In this webinar, Dr. Sevinsky will discuss: How next-generation sequencing (NGS) and off-the-shelf software confirmed the first documented SARS-CoV-2 reinfection case in the United States; How bioinformatics analysis strongly supports the hypothesis that the patient was infected on two separate occasions by genetically distinct viruses; The rationale for the continued use of NGS-based approaches for analysis and surveillance of SARS-CoV-2 samples. Leif Schauser, Global Product Manager at Qiagen Digital Insights, will discuss recent product developments at Qiagen that support the detection, NGS analysis, and interpretation SARS-CoV-2-positive samples, including stain typing. He will discuss solutions that range from Qiagen cloud-based services to scalable applications for on-premises analyses.

Organ development during gestation is a complex series of hematopoietic events. Many different lineages are involved at various stages, from pluripotent hematopoietic progenitors to the final differentiated cell types. Analyzing the cellular and molecular mechanisms of liver development is key to understanding the cell types that comprise this vital organ and the roles they play. We analyzed single-cell transcriptomes of human fetal liver to highlight the different cell type clusters and their biology. In this webinar, we will discuss how to: Analyze the data from FASTQ files from single-cell RNA-seq (scRNA-seq) to produce differential expression profiles using QIAGEN CLC Single Cell Analysis Module and QIAGEN CLC Genomics Cloud Engine Explore specific cellular markers to identify different cell types in human fetal human liver at various time points during gestation Visualize valuable information regarding a specific marker gene of interest in other contexts (e.g., disease or expression) Identify regulated canonical pathways and upstream regulators when comparing cell clusters using QIAGEN Ingenuity Pathway Analysis (IPA) Generate hypotheses about novel regulatory networks that suggest drivers of observed expression changes in the different cell types during development Gain additional insights about single-cell biology by comparing differential expression results from cell clusters in QIAGEN IPA to over 90,000 curated datasets

Identifying and studying actionable variants is of great interest to many investigators. In this webinar, COSMIC, HGMD and QIAGEN database will be introduced for annotation and investigation of both somatic and germline variants. Attendees will learn how to use QCI Interpret Translational (QCI-I T) to identify key actionable variants from whole-genome sequencing, whole-exome sequencing or DNA panels. In addition, attendees will learn how these variants can be annotated with findings derived from QIAGEN database in combination with COSMIC and HGMD. For variants of interest, it will be further demonstrated how COSMIC and HGMD databases can be further utilized.

In this 90-minute training, attendees will learn how to call SNPs, MNPs and structural variants (insertions, deletions, inversions and copy number variants) using QIAGEN CLC Genomics Workbench. In addition, we will demonstrate how to annotate these variants using both QIAGEN CLC Genomics Workbench and QIAGEN Clinical Insight Interpret Translational (QCII-T). In this training, we will discuss the following topics: • Variant calling from FASTQ or BAM files using QIAGEN CLC Genomics Workbench • Variant annotation using QIAGEN CLC Genomics Workbench and QCI-IT • Filtering variants based on quality score, genetic analysis and biological context • Identifying causal and actionable variants using the QIAGEN Knowledge Base (includes annotations from HGMD and COSMIC) • Generating VCFs and tabular exports for further analysis in QIAGEN Ingenuity Pathway Analysis Speaker: Sumana Chintalapudi, Ph.D., Field Application Scientist, QIAGEN Digital insights

Learn ways to accelerate your agrigenomics research and analyses in this 3-part webinar series that will take you through de novo assembly and annotation in non-model organisms, plastid assembly and long-read host-pathogen analysis in plants. In this webinar learn from an expert in plant genetics and bioinformatics about Expression analysis using short and long reads in a host-pathogen interaction. Who should watch: Plant geneticists, agricultural scientists, researchers studying non-model organism genetics, agrigenomics scientists, bioinformaticians, professors, directors, young scientists

This one-hour event will summarize our solutions for genomics research, environmental testing, and epidemiological study of SARS-CoV-2 NGS data, including: Local and high-performance cloud (GCE) deployment • Workflows for analyzing SARS-CoV-2 data using CLC Genomics software and focused approaches such as QIAseq SARS-CoV-2 Primer and Ion AmpliSeq SARS-CoV-2 panels. • Analysis features, such as read mapping, consensus sequence, variant calling, and visualizations for efficient interpretation and cross-sample comparisons. • Demonstration of local and cloud-based configurations of the CLC Genomics Server (GCE). Fully Automated Analysis Service QIAGEN CoV-2 Insights Service • Automated, high-throughput solution for surveillance of SARS-CoV-2 from NGS data. • Scalable cloud infrastructure for distributed processing, analysis, and reporting of SARS-CoV-2 variants and lineages from targeted whole-genome sequencing data compatible with various sequencing technologies. For more information, please visit: https://digitalinsights.qiagen.com/resources/science/sars-cov-2-resources/

Learn ways to accelerate your agrigenomics research and analyses in this 3-part webinar series that will take you through de novo assembly and annotation in non-model organisms, plastid assembly and long read host-pathogen analysis in plants.In this webinar learn from an expert in plant genetics and bioinformatics about denovo assembly and annotation of plastid genomesWho should watch: Plant geneticists, agricultural scientists, researchers studying non-model organism genetics, agrigenomics scientists, bioinformaticians, professors, directors, young scientists 

Learn ways to accelerate your agrigenomics research and analyses in this 3-part webinar series that will take you through de novo assembly and annotation in non-model organisms, plastid assembly and long read host-pathogen analysis in plants.In this webinar learn from an expert in plant genetics and bioinformatics about genome assembly evaluation and annotation tools.Who should watch: Plant geneticists, agricultural scientists, researchers studying non-model organism genetics, agrigenomics scientists, bioinformaticians, professors, directors, young scientists 

In December 2020, the assumption that SARS-CoV-2 was a slowly-mutating virus began to change with the emergence of variants of concern in the United Kingdom and South Africa, the B.1.1.7 and B.1.351 variants, respectively. These lineages contained mutations in the spike protein that are estimated to increase the transmissibility of the virus by over 50% compared to earlier strains and provide potential avenues for immune escape. Unique spike protein mutational combinations continue to emerge globally, even in the first few weeks of 2021. While PCR is the clear choice for verification of diagnostic test results, next-generation sequencing (NGS) is the only high-throughput method for identifying novel genomic changes in the virus. In this new webinar, we will describe how QIAGEN’s QIAseq SARS-CoV-2 integrated workflow combines QIAseq chemistries and CLC Genomics Analysis software to deliver a scalable, high-performance solution for sequencing thousands of samples a week. The combination of these technologies enables unparalleled sequence-based tracking of new emerging strains and the capability for almost real-time genomic surveillance. SPEAKERS Brian Dugan, M.S., Associate Director, Global Product Management, Genomics, QIAGEN Shawn Prince, B.S., Senior Field Application Scientist, Bioinformatics, QIAGEN

The emergence of global viral infections reminds us of the significant public health issues brought about by these pathogens. In the last 30 years, new viral threats have arisen across the world, as exemplified by the recent COVID-19 pandemic. These viruses have had extensive impacts on human populations, and in many cases, have caused severe symptoms and even death. Therefore, understanding the immune response to these viruses is critical. We have analyzed the transcriptomes of cell lines infected by these viruses, to highlight differences in the short-term (less than 36 hours) impact on host gene responses. In this web seminar, you will learn how to: • Analyze the data to produce differential expression profiles • Identify functions in viral infection datasets • Generate hypotheses about novel regulatory networks • Gain additional insights about single-cell biology Interested in learning more? Click here Speaker: Jean-Noel Billaud, Ph.D., Senior Principal Scientist, QIAGEN IPA