Bioinformatics Software | QIAGEN Digital Insights

Public single-cell RNA-seq data investigation using QIAGEN OmicSoft and Ingenuity Pathway Analysis
2023-04-18 13:00 - 14:30 UTC | Virtual - Americas - EST, United States
Single-cell RNA-sequencing (scRNA-seq) is widely used to investigate tissue heterogeneity, identify novel cell types, study pathogenic mechanisms, develop targeted therapy (including immunotherapy) and more. Accordingly, a tremendous amount of scRNA-seq data has been deposited to public domains like GEO.
In this training, you will learn how to
· Locate public single-cell studies of interest using QIAGEN Omicsoft Single Cell Lands
· Study different cell types by dimension reduction plots (for example, t-SNE, UMAP)
· Investigate expression of genes of interest across different cell types (Violin plots, overlay expression on cluster)
· Identify key pathways and regulators from scRNA-seq data using QIAGEN Ingenuity Pathway Analysis (IPA)

Shed light on inherited mutations and solve hereditary investigations with QCI Interpret
2023-04-19 11:00 - 12:00 UTC
In this webinar, we will demonstrate how QCI Interpret can improve your diagnostic yield for hereditary disorders. QCI Interpret is a clinical decision support platform that leverages augmented molecular intelligence to streamline the interpretation workflow. It uses the most extensive, globally trusted and manually curated molecular knowledge and bibliography evidence to provide you with the best possible opportunity to solve every case. By demonstrating the different features and series of use-cases, we will show you how QCI Interpret guarantees a comprehensive and thorough investigation of every case for all types of genetic variation, including copy number variants (CNVs). This will allow you to provide precise answers to patients and their families, while also reducing test turnaround time from hours to minutes.
Learning objectives:

Learn about QCI Interpret’s analysis and interpretation workflow for hereditary diseases using targeted and extended gene panels, including WES/WGS
Learn about QCI Interpret and QIAGEN’s expert curation process based on the latest ACMG carrier screening guidelines
View demonstrations of unique features in QCI Interpret, including how to input symptoms relevant to a case and receive relationships to candidate diseases and mutated genes using the Phenotype Network Analysis feature and triage mode of variant assessment.
Learn how QCI Interpret supports CNV interpretation and reporting with bibliographic coverage of over 60,000 CNV case reports"

Proteomics and phosphoproteomics data interpretation using QIAGEN Ingenuity Pathway Analysis
2023-04-25 13:00 - 14:30 UTC | Virtual - Americas - EST, United States
In this live QIAGEN Ingenuity Pathway Analysis (IPA) training, we’ll focus on interpreting proteomics and phosphoproteomics datasets.
In this tutorial, we’ll guide you through steps and workflows to address your questions related to interpreting proteomics and phosphoproteomics datasets using QIAGEN IPA, such as:
• How should I format the data before uploading to IPA?
• How do I set up the analysis?
• Which upstream kinases are implicated in the observed phosphoproteomics changes?
• What are the targets of a particular upstream kinase and how do their levels of phosphorylation change over the time course?
• What are the targets on a particular Canonical Pathway and how do their levels of phosphorylation change over time?
• Which biological predictions trend in a time-dependent manner during the time course?
• How do the biological predictions from phosphoproteomics compare with a related transcriptomics dataset?
Additional QIAGEN Digital Insights (QDI) scientists will be on the call to answer questions and help with other inquiries, such as how to install the software, etc.
For those with a QIAGEN IPA license
• To install IPA before or after the training, please use the below installer.
https://qiagen.showpad.com/share/CBv30blCPKFDUYHRWtAvI
• If you haven’t done core analysis in IPA before, we recommend you review below video/slides before the training (however, this is not required).
o IPA beginner training recording: https://qiagen.showpad.com/share/t2cGMdF3NjVucBA0b9tIT
o IPA step-by-step guide w/ data format (slide 9) and upload (slide 28) instructions: https://qiagen.showpad.com/share/VjizSLJVBw1qfV

How to improve your existing pipeline for somatic mutation analysis, interpretation and reporting: Part 1
2023-04-27 10:00 - 12:00 UTC
We are excited to bring thought leaders, NGS experts, lab directors, variant scientists, clinicians, and oncologists under one virtual roof at our second annual Clinical Oncology Summit hosted on April 27 and May 18, 2023.
The two-part, content-rich event will feature invited lectures from lab directors and clinical geneticists, thought-provoking discussions on the future of comprehensive genomic profiling, and educational presentations on the latest databases, software, and services for somatic secondary and tertiary analysis. Designed to help clinical diagnostic labs understand how they can optimize their current pipelines for somatic NGS analysis, interpretation and reporting, the Clinical Oncology Summit is a must-attend event for labs who need to reduce turnaround time, improve operational costs, and scale for higher throughput.
Meet the speakers and view the full agenda here.

QIAGEN Ingenuity Pathway Analysis (IPA) for grant writing and publications with new features
2023-04-27 13:00 - 14:30 UTC | Virtual - Americas - EST, United States
QIAGEN Ingenuity Pathway Analysis (IPA) represents a robust resource to aid in the process of writing grants publications. Driven by a wealth of manually-curated molecular interactions and associations in the QIAGEN Knowledge Base together with pre-analyzed public ‘omics data for hundreds of thousands of samples from QIAGEN OmicSoft Lands, IPA provides biological insights regardless of whether you have your own data or not. In the absence of your own data, IPA provides a resource to query existing molecular knowledge from the literature or public ‘omics data, build networks in silico, and review results from pre-analyzed public studies. With data, you can dig deeply into the biological meaning of your results through the identification of key pathways, regulatory molecules and functional changes as well as understand how your study relates to other published studies.
Join us for a 90-min training session where you will learn:
• Ways to query IPA’s vast collection of curated literature and ‘omics data
• How molecules relate to phenotypes and functions
• Build your own networks and predict activity changes
• Ways to explore a library of over 100,000 precomputed IPA analyses pulled from public ‘omics data
• How to format your dataset and set up an analysis
• How to deeply interrogate key Canonical Pathway
• How to predict regulators which are causing your expression changes
• How to contextualize the result of your analysis by comparing your results to internal and public data
• Ways to generate the necessary tables and figures for your manuscript

Como anotar variantes somáticas e avaliar a prevalência delas com um único banco de dados
2023-05-04 11:00 - 12:00 UTC | Virtual - Portugal, Portugal
Dentro das aplicações oncológicas, a habilidade de identificar alterações genéticas potencialmente acionáveis e explorar as vulnerabilidades moleculares do câncer está se tornando cada vez mais difícil.
Um novo banco de dados desenvolvido pela QIAGEN, o HSMD, contém mais de 2 décadas de conteúdo com curadoria especializada e dados da QIAGEN Knowledge Base com mais de 300.000 casos oncológicos de mundo real para fornecer um entendimento profundo e preciso da acionabilidade de variantes pequenas, tais como SNVs, indels e frameshifts, que têm sido “observadas clinicamente” ou consideradas pela literatura científica.
No dia 4 de maio, junte-se a nossos especialistas para um tour virtual do novo banco de dados e apresentação dos seus recursos, capacidades e aplicações.

Single-cell RNA-seq data analysis and interpretation
2023-05-04 13:00 - 14:30 UTC | Virtual - Americas - EST, United States
Explore how to analyze and interpret your own single-cell RNA-seq (scRNA-seq) data using QIAGEN CLC Genomics Workbench and QIAGEN Ingenuity Pathway Analysis (IPA).
In this 90-minute training, you’ll learn how to:
• Start with FASTQ, cell matrix file and/or differential expression file for scRNA-seq data
• Either automate or customize your analysis pipeline/workflow, depending on your needs
• Easily generate visualizations such as t-SNE, UMAP, heatmap, differential expression table, dot plots and more
• Upload differential expression data to QIAGEN IPA (either from QIAGEN CLC or from another source)
• Perform pathway analysis on scRNA-seq data and compare different clusters to discover novel biological mechanisms, cell type-specific biomarkers and key regulators/targets
• Export results in the form of high-quality images or tabular format
Slides from a previous similar training: https://qiagen.showpad.com/share/WAXz1vrHBsvArdeceWpcX

Whole genome sequencing (WGS), rapid WGS and ultra-rapid WGS for hereditary disorders – where speed matters
2023-05-09 13:00 - 14:30 UTC | Virtual - Americas - EST, United States
QIAGEN CLC LightSpeed Module delivers an ultra-fast, end-to-end hereditary NGS FASTQ to VCF pipeline. LightSpeed takes raw FASTQ files generated by paired-end 150 bp sequencing protocols and performs quality trimming, adapter trimming, read mapping, deduplication, local realignment, QC and germline variant calling.
More details: https://qiagen.showpad.com/share/Tue4ZxKsjAFetyoswbTfE
Cloud module: QIAGEN CLC Genomics Cloud computing software allows you to launch analyses from CLC Workbenches or CLC Servers for execution on AWS.
https://qiagen.showpad.com/share/ct2e3M9LfLazzuMMchqhG
• Overview of Genomics workbench and Platform
• Server / Cloud module overview
• Breaking the speed of light
• LightSpeed is arguably the fastest and cheapest-to-run hereditary FASTQ-to-VCF WGS pipeline available
• Benchmarks / comparisons
• Demo of lightspeed and cloud module for Fastq to vcf
• Install plugin
• Download reference(s)
• Execute workflow and review results

Checkpoint inhibitors in the context of biomarkers, drug targets and pathways
2023-05-11 13:00 - 14:30 UTC | Virtual - Americas - EST, United States
In this training, we will focus on how you can use QIAGEN Omicsoft Studio and QIAGEN Ingenuity Pathway Analysis (IPA) to discover new biomarkers, validate (or study) drug targets and identify novel mechanisms of action with your own and/or public checkpoint inhibitor datasets from resources like GEO, SRA, TCGA and more.
In this training, you’ll learn how to:
· Investigate the expression of a gene/biomarker/drug target across different treatments and diseases
· Derive a biomarker/gene signature from a specific condition (for example, non-responders of a drug, or a particular disease/disease subtype and others)
· Correlate expression of multiple genes and biomarkers
· Compare different experimental groups (e.g., your own data and/or public data) at both the levels of gene expression and pathways/regulatory networks activity

How to improve your existing pipeline for somatic mutation analysis, interpretation and reporting: Part 2
2023-05-16 10:00 - 11:30 UTC | Virtual - EMEA - CET

Pathway and network analysis on different types of lists with QIAGEN IPA
2023-05-16 13:00 - 14:30 UTC | Virtual - Americas - EST, United States
You may not have a typical transcriptomics dataset (i.e., a list of genes with differential expression), yet, you’d like to analyze a list of IDs. In this training, we will explore how to perform pathway and network analysis for lists of IDs in QIAGEN IPA.
Examples of lists that we’ll explore include:
• A gene/protein/metabolite list coming from a paper, generated in a lab or from a collaborator without differential expression
• A list of RS IDs for variants with or without numerical values such as p-values
• A list of proteins with Z-score (or other numerical value) calculated outside of IPA
• Other lists where you have mainly IDs and but no differential expression data
In this IPA training, you’ll learn how to:
• Upload and perform a pathway analysis (also known as core analysis) on a list of genes, proteins, metabolites or other types of IDs
• Open and investigate pathways and networks for understanding biological mechanisms
• Compare between analyses to identify similarities and differences for applications such as biomarker discovery
• Generate a custom network and contextualize it using public data

How to improve your existing pipeline for somatic mutation analysis, interpretation and reporting: Part 2
2023-05-18 10:00 - 12:00 UTC

IPA deeper dive: miRNA investigation using QIAGEN Ingenuity Pathway Analysis (IPA)
2023-05-23 13:00 - 14:30 UTC | Virtual - Americas - EST, United States
In this 90-minute training session, you will learn how to identify target mRNAs for your miRNAs of interest and associate them with pathways, diseases, biological functions, tissues and cell types.
We’ll cover topics such as:
- How to analyze miRNA-seq datasets alone, or both miRNA and corresponding mRNA datasets together
- How to use QIAGEN IPA without a dataset, using miRNA IDs
- Introduction to databases and curated content specific to miRNA
- How to effectively apply various filters and functionalities to identify biomarkers, key targets and novel biological mechanisms

Acceda rápidamente a amplios conocimientos para interpretar variantes somáticas con la HSMD
2023-05-25 13:00 - 14:30 UTC | Virtual - Argentina, Argentina
Dentro de las aplicaciones oncológicas, la capacidad de identificar alteraciones genéticas potencialmente accionables y explorar las vulnerabilidades moleculares del cáncer es cada vez más difícil.

Una nueva base de datos desarrollada por QIAGEN, la HSMD, contiene más de 2 décadas de contenido curado por expertos y datos de la QIAGEN Knowledge Base con más de 300.000 casos de oncología del mundo real para proporcionar una comprensión profunda y precisa de la accionabilidad de pequeñas variantes, como SNVs, indels y frameshifts, que han sido "clínicamente observadas" o consideradas por la literatura científica.

El 25 de mayo, únase a nuestros expertos en un tour virtual a la nueva base de datos y una presentación de sus características, capacidades y aplicaciones.

Roman Testing Conference
2023-06-06 - 2023-06-08 | Romania, Cluj-Napoca, Romania
In 2023, we want to hear stories of improved communication and bridging gaps. Of technology used to harness the power of agility. Of process improvements, impediments removal and common goals. About changing attitudes, ways of working and minds. We want to hear stories of failure or win, standing up against change or championing it. What you changed. What you learned from it.
We are looking to build a program offering a wide variety of inspiring talks and hands-on workshops. The conference will span over 3 days with the first two days consisting of one- and two-day workshops and training. On the third day we will have a classic multi-track setup with a variety of keynotes and talks. We will also be trying out a few exciting concepts that we will share more information about along the way.

Unlocking the power of API-based 'omics queries
2023-06-07 11:00 - 12:30 UTC | Virtual - Americas - EST, United States
If you're a data scientist or bioinformatician working in biopharma, here's your chance to explore an advanced and comprehensive way to access and analyze high-quality 'omics data. The QIAGEN OmicSoft API provides a powerful and flexible platform for easy data discovery, retrieval, filtering, analysis and visualization. In this webinar, you'll learn how to leverage the OmicSoft API to access vast amounts of multi-omics data and perform custom analyses. We will also highlight the capabilities of the OmicSoft API to query across data sources to obtain a complete picture of the available 'omics data for any given disease.
Join us to learn how OmicSoft API can revolutionize your data analysis workflows and help you make more informed decisions for your drug and target discovery projects.
In this webinar, we'll discuss how to:

Avoid the pitfalls of poorly labeled data
Use the OmicSoft API to accelerate queries and promote consistency
Perform multi' omics data analysis to reveal patterns and prioritize hypotheses
Leverage curated metadata, including sample clinical data, to structure queries
Drive efficiency in your drug discovery and bioinformatics programs

Don't miss this chance to learn how to unlock the power of API-based 'omics queries.

Sample to Insight at LightSpeed: A barrier-breaking workflow for inherited disease NGS testing
2023-06-08 11:00 - 12:00 UTC | Virtual - Americas - EST, United States
Get a first-hand look at QIAGEN’s new Sample to Insight Hereditary solution. By attending this webinar, you will:

Learn more about each workflow component.
Hear from experts in the field as they discuss how this technology advances the diagnosis and management of inherited diseases.
Examine real-world case studies demonstrating the clinical utility and cost-effectiveness of the solution.

If your lab needs a fast, cost-effective, ultra-precise workflow for germline NGS testing, you do not want to miss this webinar.

Antimicrobial resistance (AMR) and multi-locus sequence typing (MLST) using QIAGEN CLC Genomics Workbench
2023-06-08 13:00 - 14:30 UTC | Virtual - Americas - EST, United States
You asked for it by popular demand, and we’re here to deliver. In this training, we’ll cover how antimicrobial resistance (AMR) is used for isolation or can be easily integrated with other functionalities such as multi-locus sequence typing (MLST).
In this training, we’ll cover:
• Introduction to AMR, MLST and relevant databases
• QIAGEN Microbial Insight - Antimicrobial Resistance database (QMI-AR)
• Importing data and downloading needed databases
• Finding resistance with nucleotide DB, PointFinder and ShortBRED
• Integrating AMR with MLST
• Exporting high-resolution graphics and result tables

ESHG 2023
2023-06-10 - 2023-06-13 | Glasgow, Glasgow, Scotland, United Kingdom
Learn about our Sample to Insight solutions for inherited disorders

This year at the European Society for Human Genetics (ESHG) 2023 Annual Meeting, QIAGEN will be at booth #472 premiering our new barrier-breaking Sample to Insight workflow for inherited disease NGS testing—a fast, cheap, ultra-precise panel to report pipeline.
Learn more about our products and solutions and receive complimentary demos of our bioinformatic software and databases. Our experts will be available to chat with you and answer any questions you may have. We look forward to seeing you at ESHG 2023.

Investigation of inflammatory conditions public data for biomarker and drug target discovery using QIAGEN OmicSoft and IPA
2023-06-13 13:00 - 14:30 UTC | Virtual - Americas - EST, United States
In this 90-minute training on QIAGEN OmicSoft and Ingenuity Pathway Analysis (IPA), we’ll cover how to easily query inflammatory conditions related to public data (GEO, SRA and more) to:
• Rapidly query and identify public datasets that fit our search criteria
• Discover and validate biomarker expression in disease tissue, different treatments and response groups
• Identify a list of biomarkers specific to a condition (non-responders, disease-specific, cell-type specific and more)
• Confirm condition-specific biomarkers through gene expression heatmaps
• Investigate biological mechanisms through network study
Additional QIAGEN Digital Insights scientists will be on the call to answer your questions and help with other inquiries, such as how to install the software, etc.

RNA-seq data analysis and interpretation using QIAGEN CLC and QIAGEN IPA
2023-06-15 13:00 - 14:30 UTC | Virtual - Americas - EST, United States
This 90-minute training will teach you how to easily analyze and interpret RNA-seq data using QIAGEN CLC Genomics Workbench software and QIAGEN Ingenuity Pathway Analysis (IPA).
For RNA-seq data, you 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, Venn diagrams and others
• Easily customize RNA-seq workflows
• Export publication-quality graphics, tables and reports
• Send differential expression tables to QIAGEN Ingenuity Pathway Analysis directly from QIAGEN CLC Genomics Workbench to analyze and interpret relevant pathways
Explore the types of analyses and visualizations you’ll learn to generate (slides from previous training): https://qiagen.showpad.com/share/qiZLmCUS32GZNM1B4llMf

Interpretieren Sie somatische Varianten einfach und schnell mit HSMD
2023-06-20 10:00 - 11:30 (Europe/Paris) | Virtual - Germany, Germany
Verpassen Sie nicht die Gelegenheit, das bestgehütete Geheimnis von somatischen NGS-Tests kennenzulernen.
Die von QIAGEN entwickelte neue Datenbank namens HSMD enthält über 2 Jahrzehnte von Experten kuratierte Inhalte aus der QIAGEN Knowledge Base und Daten aus über 300.000 realen Onkologie-Fällen, um tiefgreifende Einblicke in die genaue Funktion und Handlungsfähigkeit von kleinen Varianten wie SNVs, Indels und Frameshifts zu bieten, die "klinisch beobachtet" oder aus wissenschaftlichen Publikationen kuratiert wurden.
Am 20. Juni werden unsere Experten Ihnen in einer Demonstation die neue Datenbank vorstellen und Ihnen ihre Funktionen, Fähigkeiten und Anwendungen vorstellen.
In diesem Webinar werden Sie lernen:
• Woher HSMD seine Daten zieht
• Wie Sie HSMD für verschiedene Anwendungen wie Forschung, molekulare Tests und pharmazeutische Entwicklung nutzen und anwenden können
• Wie Sie eine kostenlose, 5-tägige Testversion von HSMD für Ihr Labor erhalten können

QIAGEN IPA Deeper Dive: Making most out of user’s core analysis and new features
2023-06-20 13:00 - 14:30 UTC | Virtual - Americas - EST, United States
Many of you who use QIAGEN Ingenuity Pathway Analysis (IPA) have requested a deeper dive into the IPA core analysis (also known as expression analysis - performed on RNA-seq, scRNA-seq, proteomics and many other ‘omics data). You’ve specifically requested to cover topics like causal networks, regulator effects, etc., in more detail.
That’s why we’ve designed this training to focus on thesetopics and more:
· What are the different result types produced by an IPA core analysis?
· What are the differences between causal network vs. mechanistic network vs. regulator effects?
· How do you predict molecular activity in IPA? What is a Z-score?
· What is the new bubble plot feature?
· How can I edit, expand and modify the network the way I want it? For example, add a disease or gene(s) of interest, remove certain connections, etc?

Scale your comprehensive genomic profiling workflow with superior automated variant interpretation
2023-06-22 11:00 - 12:30 UTC
Automating and scaling a comprehensive genomic profiling workflow can be a tedious and challenging process that requires lots of time and resources. However, an intelligent clinical decision support platform and on-demand expert support services can make all the difference.
In this webinar, learn about QIAGEN Clinical Insight (QCI) Interpret for Oncology, a clinical decision support platform that has been trusted to analyze and interpret more than 3 million patient molecular profiles worldwide. Unlike other commercial solutions, QCI Interpret for Oncology is powered by augmented molecular intelligence and offers in-software access to a team of variant scientists to assist you with rare or novel variant research, curation, and interpretation. The platform connects to the QIAGEN Knowledge Base—the highest quality genomic knowledge base in the industry—and dynamically computes variant classifications according to AMP/ASCO/CAP and ACMG/AMP guidelines. To help you further scale and reduce hands-on time, QCI Interpret for Oncology provides over 410,000 variant interpretation summaries that have all been reviewed by oncologists. This enables you to quickly build custom reports for your oncologists and their patients with the latest diagnostic and prognostic information, as well as biomarker-directed therapy and clinical trial recommendations.
By attending this webinar, you will:
Receive a step-by-step guide of how to go from VCF to final report using QCI Interpret for Oncology
Learn about the platform’s automated variant classification process
Learn how QIAGEN uses augmented molecular intelligence to enhance our expert curation process
See first-hand how to build a custom report with an opportunity to submit your own VCF file for a sample report

De novo assembly, BLAST and genome finishing using QIAGEN CLC Genomics Workbench
2023-06-27 13:00 - 14:30 UTC | Virtual - Americas - EST, United States
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 QIAGEN 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.

Insights into cancer genomics via COSMIC v98
2023-07-11 11:00 - 12:30 UTC | Virtual - Americas - EST, United States
Our understanding of cancer mechanisms, genetics and complexities continues to expand rapidly. Without a streamlined, standardized and easy to understand organizational system to keep track of this plethora of knowledge, potentially crucial data can effectively be lost. Trusted by scientists for nearly 20 years, COSMIC is the world’s largest, most comprehensive, expert-curated resource for exploring the impact of somatic mutations in human cancers.

Join Leonie Hodges, Scientific Communications Officer for COSMIC, for this webinar to take a journey through COSMIC’s mission, the results of our latest curation focus and how we have developed our download files to improve accessibility and useability.

Through the lens of COSMIC v98, participants of this session will:

Delve into our manual curation and rigorous data annotation processes, and how the resulting gold standard data enables users to experiment and innovate with confidence.
Gain insight into the motivations behind our curation focuses and the results of our latest focus: rare skin tumors, including new tumor types/histologies, a newly fully curated cancer gene and more.
Explore the revamped COSMIC download files, with particular focus on their interoperability, accessibility and useability.

Pathogen detection and variant analysis using hybrid capture technology and QIAGEN CLC Genomics Workbench
2023-07-11 13:00 - 14:30 UTC | Virtual - Americas - EST, United States
The detection and surveillance of pathogens such as respiratory viruses, sexually transmitted pathogens, adventitious agents and antimicrobial-resistant bacteria are increasingly important in healthcare settings and environmental monitoring. The COVID-19 pandemic highlighted the importance of identifying and differentiating variants of concern. By applying the lessons learned from the COVID-19 pandemic to other pathogens of interest, it’s clear there’s a widespread need for the ability to target sensitive variants using next-generation sequencing (NGS) enrichment strategies and to analyze NGS data.
In this training, we'll use QIAGEN CLC Genomics Workbench to analyze NGS data generated from hybrid capture technology. Using data generated from QIAGEN HYB panels, you'll learn how to import, analyze and interpret NGS data. Specifically, you’ll discover:
1. How to import NGS data into QIAGEN CLC Genomics Workbench
2. How to analyze the data using template workflows;
3. How to interpret the results using the interactive graphics produced by the workflows;
4. How to modify the template workflows to accommodate custom panels

Target exploration and cell line selection for drug discovery
2023-07-13 13:00 - 14:30 UTC | Virtual - Americas - EST, United States
Cancer cell line models have been a cornerstone of cancer research for decades. Profiling cancer cell lines is a powerful tool to identify gene alterations or cancer-related pathways and to discover potential drug targets. This training will focus on using QIAGEN OmicSoft Lands and Ingenuity Pathway Analysis (IPA) as guides to select cell lines and translate insights gained from cell lines into discovering new possible drug targets.
In this 90-minute training, we’ll explore how you can use our platforms to:
• Select appropriate cancer cell lines for a variety of applications such as drug discovery, precision disease modeling, understanding gene function in cancer and immune-oncology research
• Examine genes of interest across various ‘omics datasets to analyze changes in expression, mutation, hotspots and gene dependency data
• Generate networks for hypotheses and test them in-silico to improve the translation of insights derived from cell line models to drug target identification
• Analyze integrated public 'omics data and drug response phenotypes using cell line model systems by exploring data from the Library of Integrated Network-Based Cellular Signatures (LINCS)
• Prioritize drug targets and profile phenotypic/downstream effects of drug action by overlaying public data on your own generated networks
Our system uses millions of curated literature findings in the QIAGEN/ IPA Knowledge Base and the OmicSoft digital warehouse. This training is for those of you familiar with QIAGEN IPA, as well as newcomers interested in learning more.

Investigating genomic variants using QIAGEN CLC Genomics Workbench, QCI Interpret-Translational (QCII-T), and QIAGEN Ingenuity Pathway Analysis (IPA)
2023-07-18 13:00 - 14:30 UTC | Virtual - Americas - EST, United States
Discovering new genes implicated in hereditary diseases or cancer progression is challenging yet advancing rapidly due to the increase in next-generation sequencing (NGS) cohort data. These data analyses produce insights into associations between gene variants and diseases and the biological mechanisms of these gene variants.
By combining QIAGEN CLC Genomics Workbench, QCII-T and QIAGEN IPA, you can analyze sequencing data obtained from a variety of NGS technologies, annotate gene variants using the world’s most comprehensive and up-to-date curated scientific evidence and find biological connections in gene variants with manually curated scientific findings. Using a streamlined NGS analysis workflow, you’ll get valuable and reliable insights for your research project and speed up your discoveries.
In this training, you’ll:
1. Learn to import whole genome or exosome sequencing data into QIAGEN CLC Genomics Workbench and use the ultra-fast LightSpeed Module that delivers an end-to-end NGS FASTQ to VCF pipeline
2. Explore the capabilities in QCII-T which can help accelerate your discoveries from hereditary or tumor cohort analyses to find associations between gene variants and diseases
3. Learn how to use QIAGEN IPA and its manually curated content, among other integrated scientific evidence, to uncover novel biological mechanisms underlying these gene variants

Delving into public single-cell RNA-seq data using QIAGEN OmicSoft and Ingenuity Pathway Analysis (IPA)
2023-07-25 13:00 - 14:30 UTC | Virtual - Americas - EST, United States
Single-cell RNA-sequencing (scRNA-seq) is widely used to study tissue heterogeneity, identify novel cell types, study pathogenic mechanisms, develop targeted therapies (including immunotherapy) and more. Accordingly, scientists have deposited a tremendous amount of scRNA-seq data into public domains like GEO.
In this training, you will learn how to:
· Locate public single-cell studies of interest to you using QIAGEN Omicsoft Single Cell Lands
· Study different cell types by dimension reduction plots (for example, t-SNE, UMAP)
· Investigate expression of genes of interest across different cell types (Violin plots, overlay expression on cluster)
· Identify key pathways and regulators from scRNA-seq data using QIAGEN IPA
