Bioinformatics Software | QIAGEN Digital Insights

Immune repertoire analysis using QIAGEN CLC Genomics Workbench
2023-08-17 13:00 - 14:30 (America/Halifax) | Virtual - Americas - EST, United States
The composition of the immune repertoire, consisting of the T cell and B cell receptors (TCR and BCR), is important for an organism's adaptive immune system and plays a pivotal role in an individual's overall health. Understanding the complex array of TCR and BCR allows for developing precision medicine and immunotherapy. Analyzing next-generation sequencing (NGS) data from RNA-seq experiments to characterize and understand TCR and BCR clonotypes may aid in identifying cases that could benefit from personalized immunotherapy or potentially predict therapeutic outcomes.
In this training, we'll use QIAGEN CLC Genomics Workbench to analyze immune repertoire NGS data generated from RNA-seq or single-cell RNA-seq data. Together we'll explore how to import, analyze and interpret your NGS data. Specifically, you'll learn how to:
-Import NGS data into QIAGEN CLC Genomics Workbench
-Analyze the data using template workflows
-Interpret the results using the interactive graphics produced by the workflows

Compare and contextualize your results using QIAGEN Ingenuity Pathway Analysis (with Summer 2023 update)
2023-08-22 13:00 - 14:30 (America/Halifax) | Virtual - Americas - EST, United States
Take your QIAGEN Ingenuity Pathway Analysis (IPA) analyses to the next level by comparing them to your own analyses (different time points, treatments, cell lines, diseased and more) or to a library of over 100K precomputed datasets to find similar or opposite biological signatures. Identify key genes or entities and then explore how they are expressed across normal tissues, diseases and more from over 600K biological samples to gain deep context.
In this training, you'll learn how to:
• Get advanced insights with the QIAGEN IPA Analysis Match comparison feature to compare large numbers of your own datasets and/or public datasets (from GEO, SRA, cancer collections and more)
• Use and interpret the IPA Activity Plot feature to identify key genes and regulators common across datasets
• Explore identified key genes in Land Explorer to query and visualize expression across tissues, disease states and mutation status, including survival curves
We will feature these specific IPA analyses:
• Analysis Match, Activity Plot and Pattern Search
• Land Explorer
• Summer 2023 update and more
For those with an IPA license:
• To install IPA before or after the training, please use the below installer: https://qiagen.showpad.com/share/CBv30blCPKFDUYHRWtAvI
Consider reviewing the below (recommended but not required):
IPA beginner training: recording:https://qiagen.showpad.com/share/t2cGMdF3NjVucBA0b9tIT
IPA step-by-step guide w/ data format (slide 9) and upload (slide 28) instructions: https://qiagen.showpad.com/share/VjizSLJVBw1qfVnyoVJ8B

Drug treatment, toxicology and target safety assessment using QIAGEN IPA and OmicSoft
2023-08-29 13:00 - 14:30 (America/Halifax) | Virtual - Americas - EST, United States
In this 90-minute training, you'll learn how to perform drug treatment, toxicology and target safety assessment-related discoveries using QIAGEN Ingenuity Pathway Analysis (IPA) and QIAGEN Omicsoft Lands.
Using public data from GTEx (normal tissue), GEO, cancer collections and more, you'll learn how to use Omicsoft Lands to:
• Investigate a drug target or biomarker expression across different normal tissues, disease conditions, treatments and more
• Correlate the expression of two or more genes
• Identify a list of genes or biomarkers specific to treatment, disease, normal tissue, cell type and more
Using findings from peer-reviewed publications and other sources, we'll explore with you how to use QIAGEN IPA to:
• Study the impact of targeting a gene/protein on different toxicological and biological functions
• Derive toxicity findings for a gene of interest from QIAGEN IPA's knowledgebase
• Identify and study toxicity-related pathways, regulators and functions for an internal dataset or a public dataset
• Compare different drug treatments, other conditions or multi-omics data for novel discoveries

New user training: Large dataset analysis and knowledge base queries using QIAGEN Ingenuity Pathway Analysis (IPA)
2023-09-06 13:00 - 15:00 UTC | Virtual - Americas - EST, United States
Join us for a 120-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
For those with IPA license
• To install IPA before or after the training, please use 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 (not required though).
o IPA beginner training recording:
o https://qiagen.showpad.com/share/t2cGMdF3NjVucBA0b9tIT
o IPA step-by-step guide w/ data format (slide 9) and upload (slide 28) instructions:
o https://qiagen.showpad.com/share/VjizSLJVBw1qfVnyoVJ8B

Metagenomics and taxonomic profiling using amplicon sequence variants (ASVs)
2023-09-07 13:00 - 14:30 UTC | Virtual - Americas - EST, United States
When it comes to taxonomic profiling of the microbiome, amplicon sequence variants (ASVs) is a method that has unique benefits compared to the traditional method of sequence similarity-based operational taxonomic unit (OTU) clustering. This training’ll cover how to effectively do taxonomic profiling using QIAGEN CLC Genomics Workbench’s ASV tools and a customizable workflow.
Specifically, you’ll learn how to:
1. Collect and bin sequence variants for each sample
2. Merge AVS tables to compare profiles
3. Assign the taxonomic profile/organism
4. Export high-resolution graphical and comprehensive tabular results
If you’re new to QIAGEN CLC Genomics Workbench and are interested in a trial, learn more here:
https://qiagen.showpad.com/share/I6MqdhIybpllyvuYW3AKy

QIAGEN Ingenuity Pathway Analysis (IPA) for grant writing and publications with new features
2023-09-12 13:00 - 15:00 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 120-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

Integrating deeply curated omics data with APIs for biomarkers and drug-target investigation
2023-09-14 13:00 - 14:30 (America/New_York) | Virtual - Americas - EST, United States
If you’re a data scientist or bioinformatician working in biopharma and need extensive high-quality ‘omics data for your projects in target discovery, this training is for you. You’ll learn how to programmatically discover, retrieve, filter, aggregate and analyze ‘omics data from our extensive repositories of deeply-curated multi-omics data. You’ll learn how to leverage extensive metadata to find and combine datasets of interest, find and test signatures and perform custom analyses to reveal patterns relevant to disease.
Join us to learn how QIAGEN OmicSoft Lands API can revolutionize your data analysis workflows and help you make more informed decisions.
In this training, you’ll learn how to:
• Search for gene signatures to find datasets (e.g., gene set analysis to find matches of various related comparisons, where the result is a list of comparisons with Contrast names)
• Plot correlation of results (e.g., where the result is a scatter plot between dataset comparisons)
• Find multiple datasets with the same metadata (e.g., based on comparisons, you can define key metadata, then pull a bunch of datasets, and the result is a large table)
• Perform a meta-analysis (e.g., based on datasets, do a Wilcoxon non-parametric test, where the result is Volcano plot and list)
• Test cell specificity with custom aggregation (e.g., for hundreds of genes, calculate the % expressing, and aggregate across studies and by CellTypeGroup, where the result is a heatmap)

Análise de redes de interação biológicas no estudo de miRNAs utilizando o software QIAGEN IPA
2023-09-15 11:00 - 12:30 UTC | Virtual - Brazil, Brazil
Potencialize suas análises e interpretação de dados com o IPA:
User-Case Nesse webinar, a Dr. Ludmila Ferreira mostrará como utilizou o QIAGEN IPA para analisar seus resultados de estudos de miRNA em um contexto complexo de redes de interações biológicas gerando insights promissores que ajudaram a aumentar a velocidade e impacto de suas publicações.
Venha entender como o IPA pode impulsionar suas análises.

Analysis of exposure to perfluoroalkyl and polyfluoroalkyl substances (PFAS) using QIAGEN CLC Genomics Workbench and Ingenuity Pathway Analysis (IPA)
2023-09-19 13:00 - 14:30 UTC | Virtual - Americas - EST, United States
Environmental contamination of perfluoroalkyl and polyfluoroalkyl substances (PFAS) is of significant concern due to a wide range of adverse health effects induced by these chemicals, including hepatotoxicity. Analyzing next-generation sequencing data (NGS) from RNA-seq experiments to identify PFAS-induced adverse outcome pathways in the liver may help better understand the mechanisms of PFAS-induced hepatotoxicity. This training will use QIAGEN CLC Genomics Workbench to generate differential expression data from RNA-seq and QIAGEN IPA to study the data within a biological context and uncover molecular mechanisms and regulatory molecules.
In this training, you’ll learn how to:
• Import NGS data into QIAGEN CLC Genomics Workbench
• Generate differential expression data using template workflows
• Export data to IPA
• Investigate pathways and regulatory networks to understand biological mechanisms
• Compare different experimental groups to identify biological similarities and differences
• Generate a custom network
Please consider reviewing the below tutorials before this meeting.
QIAGEN CLC: https://qiagen.showpad.com/share/XwwP0oVcMO1WKDGWcEf96
QIAGEN IPA: https://qiagen.showpad.com/share/SQjinvdxIs1iGhL8H3eOd

New user training Asia-Pacific: Large dataset analysis and knowledge base queries using QIAGEN IPA
2023-09-20 13:30 - 14:30 (Asia/Shanghai) | Virtual - APAC
Join us for a 60-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
Compare different omics data
• Generate a network even without a dataset or experimental design for hypothesis generation

Analyzing QIAseq DNA Panels with QIAGEN CLC Genomics Workbench
2023-09-20 15:00 - 16:00 (Europe/Paris) | Virtual - Germany, Germany
This training will focus on analyzing QIAseq DNA panel datasets with QIAGEN CLC Genomics Workbench and the Biomedical Genomics Analysis plugin, including a live “FASTQ-to-VCF” demo of data import, data analysis and investigation. We will also show how to set up the analysis of a custom QIAseq DNA panel.
During this training, you’ll learn about:
• Import of FASTQ files
• Launching an analysis workflow
• Inspection of QC reports, genome browser view, detected variants and other workflow outputs
• Customization of template workflow parameters based on findings in the QC report
• Import of custom primers and target regions file
• How to set up an analysis of a custom panel
We’ll also have time for Q&A, so bring your questions to the training.

QIAGEN IPA deep-dive and advanced features training, Asia-Pacific
2023-09-21 13:30 - 14:30 (Asia/Shanghai) | Virtual - APAC
As requested by many users, your QIAGEN Digital Insights team is excited to introduce QIAGEN Ingenuity Pathway Analysis (IPA) deep-dive trainings. In this 90-minute training session, we will discuss the following topics:
Part 1: Deep dive into QIAGEN IPA core and comparison analyses
Part 2: Deeper dive into how to use QIAGEN IPA even without user data; contextualize using Land Explorer for IPA: Find biological meaning using a massive collection of ‘omics data

Cross-species comparison and validation for drug discovery and biomarker research using QIAGEN Ingenuity Pathway Analysis (IPA)
2023-09-26 13:00 - 14:30 UTC | Virtual - Americas - EST, United States
Some human studies may be unfeasible or unethical, making cross-species research critical for drug discovery and biomarker validation. Cross-species research is a crucial method to collect data to examine potential toxicity for a candidate drug, determine the efficacious doses that may be suitable for humans, identify potential biomarkers for a disease of interest or a therapeutic response and understand the mechanisms of disease or treatment. While animal models and humans have similar anatomy and physiology, the subtle differences among organisms in the animal kingdom need to be considered and data collected must be interpreted using a meaningful method.
Using QIAGEN IPA, you can perform comparative analyses across various animal models, even combining different time points, treatments, tissues and cell types with data generated from a wide variety of ‘omics technologies (RNA-seq, scRNA-seq, proteomics, metabolomics, etc.). In this training, you will learn how to:
1. Generate activity heatmaps and expression charts comparing different pathways and regulatory networks across different species
2. Use Activity Plot, Pattern Search and Analysis Match to compare your own data against thousands of public data pre-curated and pre-analyzed representing an array of disease states, conditions and other biological conditions
3. Create expression and correlation plots using pre-curated and pre-analyzed public data to validate and confirm findings derived from a comparison analysis
Please consider reviewing the below tutorials before this meeting.
https://qiagen.showpad.com/share/SQjinvdxIs1iGhL8H3eOd

Introduction to Phosphorylation Analyses in QIAGEN Ingenuity Pathway Analysis (IPA)
2023-09-27 11:00 - 12:00 (America/New_York) | Virtual - Americas - EST, United States
In this training, we’ll introduce how you can analyze and interpret your phosphoproteomics data in QIAGEN IPA. Using an example phosphoproteomics dataset, we will answer questions such as:
• How can I format the data before uploading it into QIAGEN 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 time?
• How do the levels of phosphorylation change for proteins on Canonical Pathways 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?
Learn more about QIAGEN Ingenuity Pathway Analysis and sign up for a trial:
https://qiagen.showpad.com/share/RC7IWOoVJnSsEd5w9LjiA

HGMD Pro: La solution complète pour évaluer et classer les variants issus des workflows NGS héréditaires avec une seule base de données
2023-09-28 10:00 - 11:00 (Europe/Paris) | Virtual - EMEA - CET
Rejoignez-nous le 28 septembre pour découvrir comment HGMD Pro (Human Gene Mutation Database Professional) peut rationaliser vos recherches et analyses génétiques à travers diverses approches NGS. HGMD est une base de données de référence avec des mesures expertes de conservation et de contrôle de la qualité pour garantir l'exactitude et la fiabilité de ces données. Les utilisateurs gagnent du temps en éliminant le besoin de recoupement manuel des informations. Avec plus de 410 000 mutations pathogènes collectées et intégrées à partir de milliers de publications scientifiques, HGMD Pro est la source la plus complète de mutations germinales humaines disponible, organisée par des experts. HGMD est également indépendant des plateformes d’analyse secondaire utilisées, ce qui permet une intégration facile dans votre pipeline d'analyse existant.

Impulsionando sus análisis con el software QIAGEN IPA: Cómo nuestros clientes utilizan nuestra herramienta para complementar su investigación
2023-09-28 12:00 - 13:30 (America/Sao_Paulo) | Virtual - Argentina, Argentina
En este seminario web, usuarios de QIAGEN IPA mostrarán cómo les ha ayudado en su investigación nuestro software de análisis e interpretación de datos de expresión génica.

Los principales temas tratados serán:
• Aplicaciones de QIAGEN IPA en Biología de la Reproducción
• Aplicaciones de QIAGEN IPA en la simulación de vías de transducción dependientes de proteínas de membrana

Venga y descubra cómo QIAGEN IPA puede impulsar sus análisis.

Supercharge your AI in drug discovery with high-quality biomedical data
2023-10-03 13:00 - 14:00 (Europe/Paris) | Virtual - EMEA - CET
If you’re working in pharma or biotech, you likely rely on artificial intelligence (AI) to help you identify new drug targets or plausible biomarkers for disease within large data sets. Yet AI alone isn't enough. A large proportion of Biomedical data have errors and are unstructured. For AI models to provide reliable insights, the underlying data must be of ‘high quality’, meaning it’s accurate, comprehensive, up-to-date and standardized.
Jesper Ryge (Idorsia Pharmaceuticals), Alex Jarasch (Neo4j) and Venkatesh Moktali (QIAGEN Digital Insights) come together to showcase the practical applications of high-quality biomedical relationships data from the QIAGEN Biomedical Knowledge Base (BKB) to accelerate, improve and transform research in drug discovery and pharmaceutical development. By applying AI to a gene-disease knowledge graph, they identify promising drug targets and key mechanisms underlying diseases. A brief introduction to Neo4j shows how graph-centric analysis and visualizations facilitate the effective exploration of large knowledge graphs like BKB. This integration of high-quality curated data, AI-driven analysis and advanced visualization provides valuable insights and accelerates the progress of precision medicine.
In this webinar, you’ll learn how you can:

Build disease interactomes using protein-protein interactions
Identify high-quality drug targets using inferred causal interactions
Choose targets with the least likelihood of adverse outcomes by leveraging the depth of the data in BKB
Formulate plausible hypotheses using state-of-the-art graph visualization

Don't miss this chance to learn how to supercharge your AI toolbox to transform your drug discovery.

Supercharge your AI in drug discovery with high-quality biomedical data
2023-10-03 13:00 - 14:00 (America/New_York) | Virtual - Americas - EST, United States

Introduction to QIAGEN CLC Genomics Workbench & Getting Started
2023-10-04 11:00 - 12:00 (Asia/Kolkata) | Virtual - India, India
In this training, we will introduce you to QIAGEN CLC Genomics Workbench, including a live demo of the basic features and main functionalities.
During the training, we’ll cover:
• A general overview of the Workbench user interface
• Easy installation on Windows, Mac and Linux
• Plugin installation, e.g., Biomedical Genomics Analysis plugin
• Reference Data Management
• Working with reads from various NGS platforms
• Running individual tools and workflows
• Batch processing of data
• Data visualization using Track List/Genome Browser
• How to export of data and share workflows
• Q&A

New user training: Large dataset analysis and knowledge base queries using QIAGEN Ingenuity Pathway Analysis (IPA)
2023-10-04 13:00 - 15:00 (America/New_York) | Virtual - Americas - EST, United States
Join us for a 120-minute training session for new users of QIAGEN IPA.
In this training, you’ll learn how to:
• Upload your 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, time points, 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
For those with IPA license,
To install IPA before or after this training, please use below installer.
https://qiagen.showpad.com/share/CBv30blCPKFDUYHRWtAvI

Circulating Tumor Cell Detection and Analysis to Support Malignancy Designation, Tumor-of-Origin Identification, and Treatment Selection
2023-10-05 10:00 - 11:00 (America/New_York) | Virtual - Americas - EST, United States
Circulating tumor cells (CTCs) are cells that leave the primary tumor and are intravasated into the blood circulation system. A subset of those make it to other organs and are responsible for metastasis. iCellate’s CellMate platform is a CTC-based liquid biopsy for cancer cell enrichment, detection, and biomarker analysis via a simple blood draw.
In this seminar, you’ll learn:

From Helena Silva Cascales, senior scientist at iCellate Medical AB, how the isolation of whole-tumor cells provides a more comprehensive biomarker analysis, including genomic sequencing and multiplexed protein expression analysis.
From Kashyap Dave, principal scientist at iCellate Medical AB, how DNA from single CTCs can be amplified, sequenced, and analyzed to support malignancy designation and tissue of origin identification using classification analyses under development within Qiagen CLC Genomics Workbench.

Scale up NGS bioinformatics analysis throughput with QIAGEN CLC Genomics cloud computing
2023-10-05 11:00 - 12:00 UTC | Virtual - Americas - EST, United States
Scale your NGS analysis to match your sequencing throughput using our QIAGEN CLC Genomics cloud solution. In this webinar, you’ll learn about the flexible and powerful setup for running your NGS sequence analyses on Amazon Web Services (AWS). You’ll learn how to use QIAGEN CLC Genomics Workbench to customize workflows and send analyses to AWS Batch for execution. Together we’ll also explore analysis automation solutions, third-party dockers, audit trails and user management, all of which are available with QIAGEN CLC Genomics Server software.
Together, we’ll explore how to:
• Customize template workflows to meet your NGS analysis requirements
• Set up a QIAGEN CLC Genomics cloud environment on AWS
• Submit workflows to run on AWS and to retrieve results from these analyses.
• Use third-party dockers and automate workflow execution

QIAGEN Biomedical Knowledge Base: Data- and analytics-driven drug discovery
2023-10-10 11:00 - 12:00 UTC | Virtual - Americas - EST, United States
Biomedical relationships knowledge is now required for innovative data- and analytics-driven drug discovery. It powers biomedical knowledge graph analysis, artificial intelligence (AI)-driven target identification and many more applications.
In this one-hour training, you’ll get an introduction to QIAGEN Biomedical Knowledge Base. You’ll learn how to tackle applications you can’t achieve with the QIAGEN Ingenuity Pathway Analysis (IPA) graphical user interface, or which can be done quicker and with more flexibility when performed programmatically. You’ll learn how to perform queries such as:
• Quickly find the shortest connections between genes/proteins/metabolites of interest in the context of a specific disease
• Systematically build a network using a short list of genes/proteins/metabolites/chemicals
• Recreate a drug mechanism of action
Please note: Based on the feedback we receive from you, the registrants, we may modify the topics we cover to ensure we discuss material that’s most relevant to you.

Part 1: AI-Powered Hereditary Disease Diagnostics: Closing the Gap in Clinical Exome Completeness
2023-10-12 10:00 - 12:00 UTC | Virtual Global Event (Times shown in EST)
Clinical exome sequencing (CES) is increasingly being adopted by small and mid-sized laboratories to diagnose genetic diseases, aid treatment decisions, and provide prognostic information. However, the exponential increase in genetic data generated from exome and genome panels poses significant workflow challenges. The ability to prioritize potentially pathogenic variants from large datasets and identify the few candidate variants becomes more difficult. This issue is further amplified in cases where labs must use deep phenotyping of patients and compare that to reference genotype-phenotype knowledge associated with each candidate variant. To overcome these challenges, labs are beginning to implement Artificial Intelligence (AI) in their variant analysis, interpretation and reporting workflows.
Join us for our 2023 Clinical Hereditary Disease Diagnostics Summit, a free-to-attend, two-part event exploring the opportunities and limitations of AI in hereditary disease diagnostics. Designed to help clinical diagnostic labs learn how to safely apply AI to exome and genome sequencing workflows, the content-rich event will feature invited lectures from lab directors and clinical geneticists, thought-provoking discussions on the future of hereditary disease diagnostics, as well as educational presentations on the latest databases and AI-powered software for germline secondary and tertiary analysis.
Part I: Educational talks – October 12, 2023
An education session exploring the latest databases, software, and services for germline secondary and tertiary NGS analysis. Topics will include:

How labs can achieve clinical exome completeness with AI-enriched and manually curated content
How labs can apply enhanced phenotype-driven ranking in clinical cases
How labs can safely use a “smart” approach to AI to reach the best possible chance of reaching a diagnosis

Exploring pan-cancer immunomodulators for biomarker discovery and validation using TCGA and public single-cell data
2023-10-12 13:00 - 14:30 (America/New_York) | Virtual - Americas - EST, United States
Cancer outcome is influenced by both the tumor microenvironment and host immune response. Using QIAGEN OmicSoft Studio to access public data from The Cancer Genome Atlas (TCGA) and our human Single Cell Lands collection, you’ll learn how to:
• View host immune response clusters across TCGA samples
• Identify differentially expressed immunomodulators across sample groups
• Visualize single-cell dimension reduction maps and overlay expression data
• Identify potential biomarkers whose expression correlates or anti-correlates with target genes
• Validate new biomarkers using custom queries and TCGA survival data

Integrating deeply curated omics data with APIs for biomarkers and drug-target investigation
2023-10-17 09:00 - 10:00 (Europe/Paris) | Virtual - EMEA - CET
This webinar is for data scientists and bioinformaticians working in biopharma who need extensive high-quality omics data for target discovery efforts. Learn how to programmatically discover, retrieve, filter, aggregate, and analyze omics data from QIAGEN’s extensive repositories of deeply-curated multi-omics data. Attendees will learn how to leverage extensive metadata to find and combine datasets of interest, find and test signatures, and perform custom analyses to reveal patterns relevant to disease. Join us to learn how QIAGEN OmicSoft Lands API can revolutionize your data analysis workflows and help you make more informed decisions.

RNA-seq data analysis and interpretation using QIAGEN CLC and QIAGEN IPA
2023-10-17 13:00 - 15:00 (America/New_York) | Virtual - Americas - EST, United States
This 120-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

A breakthrough for rare disease: Completing the Clinical exome gap!
2023-10-19 11:00 - 12:00 UTC | Virtual Global Event (Times shown in EST)
In its latest release, QCI Interpret for Hereditary extends its market-leading content with further advancements in Artificial Intelligence (AI) for enhanced capabilities in clinical exome NGS testing. Now, with the addition of AI-derived literature references for rare disease genes, QCI Interpret provides complete exome coverage, on top of the existing unrivalled manually curated content and bibliography.
In this webinar, we will demonstrate how QCI Interpret is expanding its literature coverage enabling easy and efficient variant filtering workflow, based on bibliography and on patient’s phenotype. This new feature provides greater control over bibliography context, allowing users to only look at publications where the causative variant is associated with a specific disease. In addition, the release provides AI-enhanced phenotype-driven ranking. Using this approach that has been trained using thousands of solved cases, QCI Interpret for Hereditary Diseases provides superior overall candidate ranking for causative variants in rare diseases. The new variant-ranking approach is enhanced by taking into account additional variant related variables supported also by AI, as well as the patient’s symptoms, and all of the manually curated literature in the QIAGEN Knowledge Base to give the best possible chance of reaching an accurate diagnosis.
Learning objectives:

Learn about QCI Interpret’ s new AI bibliography content providing expanded clinical exome coverage, due to the combination of the AI-derived literature references with QIAGEN’s unrivalled manual curation.
Learn about QCI Interpret gives users the best possible chance of reaching an accurate diagnosis by providing phenotype-driven ranking that considers the detected mutations, the patient’s symptoms, and all the content in the QIAGEN Knowledge Base.
View live demonstration of unique features in QCI Interpret, which can drastically reduce the time spent on solving a case, resulting in faster turnaround time and an accurate assessment of a case.

Multi-omics (metabolomics, proteomics, transcriptomics) analysis using QIAGEN Ingenuity Pathway Analysis
2023-10-24 13:00 - 14:30 (America/New_York) | Virtual - Americas - EST, United States
This 90-minute training session is about how QIAGEN Ingenuity Pathway Analysis (IPA) allows visualization of molecular intricacy and variations at multiple levels such as transcriptome, proteome, and metabolome. Through a series of brief technical vignettes, it is demonstrated how to:
· Generate associations among molecular signatures obtained via integrating multi-omics data
· Extract mechanisms from multi-omics data for precision medicine
· Disease stratification based on multi-omics profiles
· Map disease networks among targets and indications

What's new in QIAGEN IPA Fall Release 2023?
2023-10-25 09:30 - 10:30 (Europe/Paris) | Virtual - EMEA - CET
Interested in learning about new features and functionalities that have been added to IPA lately?
During this webinar, we will highlight the updates from the QIAGEN IPA Fall Release and from previous releases from this year. Topics, amongst others, will be
• Newly added findings and pathways
• Reactome pathways
• Artificial intelligence approves to pathways
• More precise matches in Analysis Match
• Cell type prediction
• New queueing view for checking your analysis status
Bring any questions you may have and we will answer them during the webinar.
IPA release notes are available via the following webpage: https://digitalinsights.qiagen.com/products/qiagen-ipa/latest-improvements/current-line/
