Bioinformatics Software | QIAGEN Digital Insights

RNA-seq data analysis and interpretation with sankey plot update
2023-12-14 13:00 - 15:00 (America/New_York) | Virtual - Americas - EST, United States
During this 120-minute training, we’ll teach you how to easily analyze and interpret RNA-seq data using QIAGEN CLC Genomics Workbench and QIAGEN Ingenuity Pathway Analysis (IPA) software. 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, sankey plot 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 Here you can explore the types of analyses and visualizations you'll learn to generate (slides from previous training): https://qiagen.showpad.com/share/qiZLmCUS32GZNM1B4llMf

New user training: Large dataset analysis and knowledge base queries using QIAGEN Ingenuity Pathway Analysis (IPA)
2024-01-04 13:00 - 15:00, 2024-02-08 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

New feature: RNA-seq Analysis Portal in QIAGEN Ingenuity Pathway Analysis (IPA)
2024-01-11 13:00 - 14:30 (America/New_York) | Virtual - Americas - EST, United States
RNA-seq Analysis Portal, a cloud-based platform you can access from a web browser, helps you analyze your RNA-seq expression data. Its predefined analysis pipelines let you calculate expression levels and identify differential expression and significant pathways, regulators, diseases and functions in just a few steps.
The graphical views and interactive plots enable seamless exploration and refinement of your RNA-seq analysis results. RNA-seq Analysis Portal is available to those with a MyQIAGEN or QIAGEN IPA account. MyQIAGEN users can pass results to QIAGEN GeneGlobe Design and Analysis Hub to explore and plan next steps, such as qPCR or dPCR-based follow-up experiments for your filtered target genes.
If you're a QIAGEN IPA user, you can use RNA-seq Analysis Portal for secondary analysis of raw sequencing data and do preliminary analysis before uploading your resulting dataset to QIAGEN IPA. You can also use it to process and analyze public RNA-seq data.
In this webinar, you'll learn how to:
* Upload your own FASTQ files or search for public RNA-seq data
* Perform alignment, QC and generate counts
* Generate differential expression, heatmap, volcano plot and other results
* Export results to QIAGEN IPA

Case studies: Real world examples of how labs can use HGMD Professional to mitigate errors in variant interpretation
2024-01-16 11:00 - 12:00 (America/New_York) | Virtual - Americas - EST, United States
The clinical interpretation of genetic testing results remains one of the most significant hurdles in effectively applying genomics in modern medicine. Errors in variant interpretation, whether false positives or false negatives, can result in inappropriate medical interventions or missed opportunities for treatment. To mitigate the risks associated with variant misinterpretation, the professional genetics community has established guidelines for variant annotation. However, putting these guidelines into practice is difficult and time-consuming, requiring a meticulous process of gathering data and compiling evidence for each identified genetic variant and drawing information from various sources to assess its clinical significance. Therefore, the accuracy of variant annotation significantly relies on reputable and regularly updated reference databases that contain information about well-documented genetic variants and their clinical implications.

Join Dr. Ana Krivokuca, The Head of the Department of Genetic Counselling at the Institute of Oncology and Radiology Serbia, as she presents a case study webinar on how to use the Human Gene Mutation Database (HGMD) Professional, a comprehensive, diverse, meticulously annotated and regularly updated resource for finding disease-causing mutations, for multiple clinical genetic testing applications.

In this webinar, attendees will:

Examine three neurological disorder case studies of how to use HGMD Professional to link phenotypes to causative variants, identify and interpret clinically relevant variants, discover ethnically relevant variants, and develop gene panels.
Learn how HGMD Professional is maintained by a team of expert curators and updated every three months.
Hear a real-life story of how HGMD Professional can help prevent misdiagnoses with an example of variant misclassification causing inappropriate and devastating medical intervention.

Sanger sequencing, alignment, cloning, primer design and more using QIAGEN CLC Main and Genomics Workbench software
2024-01-16 13:00 - 14:30 (America/New_York) | Virtual - Americas - EST, United States
If you're a QIAGEN CLC Main and/or Genomics Workbench user, or interested in learning about the below analytics, you won't want to miss this training:
• Alignment and tree construction
• Sanger sequencing analysis
• Cloning and primer design
• Other molecular biology tools

IPA deeper dive: Making most out of user’s core/expression analysis and new features
2024-01-18 13:00 - 14:30 (America/New_York) | 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), which is - performed on RNA-seq, scRNA-seq, proteomics and many other types of ‘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 these topics and more:
· What are the different result types of results 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?
• If you haven’t done a core/expression analysis in IPA before, we recommend you review the below slides before (or after) this training. It’s not a requirement for following this training but it will help.
o https://qiagen.showpad.com/share/SQjinvdxIs1iGhL8H3eOd
 Slide#4 = how to download the example dataset
 Slide#20 -25 = review recommended dataset formats
 Slide#53 onwards = step-by-step how to upload the dataset and perform analysis
• If you have an IPA license but don't know where to download the IPA app.
o Install IPA: https://qiagen.showpad.com/share/A0mV7EWcejBtXPJUesbXd
o IPA beginner training recording:
 https://qiagen.showpad.com/share/t2cGMdF3NjVucBA0b9tIT

Exploring RNA-seq data using the CLC Genomics Workbench: Expression Analysis and upload to Ingenuity Pathway Analysis (IPA) - NA/LATAM
2024-01-24 10:00 - 11:00 (America/New_York) | Virtual - Americas - EST, United States
In this webinar, we will present how to analyze RNA-seq data starting from raw sequencing reads. We will touch upon expression analysis, statistical comparison, visualization and functional enrichment of RNA-seq data using an actual dataset and a live demo.
During this webinar, we will cover:

Mapping of reads to the reference and abundance estimation
Principal component analysis (PCA) of RNA-seq data
Differential expression analysis
Visualization of results using volcano plots, heatmaps and Venn diagrams
Creating RNA-seq expression table and adding GO annotations
Gene set enrichment analysis using hypergeometric test
Ready-to-use Workflows for expression analysis
Upload to Ingenuity Pathway Analysis (IPA)

Bring any questions you may have, and we will answer them during the webinar.

Exploring RNA-seq data using the CLC Genomics Workbench: Expression Analysis and upload to Ingenuity Pathway Analysis (IPA) - EMEA/APAC
2024-01-24 16:00 - 17:00 (Europe/Paris) | Virtual - EMEA - CET

What’s new in QIAGEN CLC Genomics Workbench version 24 - EMEA/APAC
2024-01-30 10:00 - 11:00 (Europe/Paris) | Virtual - EMEA - CET
QIAGEN CLC Genomics Workbench version 24 is here with exciting updates we'd like to share with you. These include:

Our QIAGEN CLC LightSpeed Module which now provides ultrafast somatic workflows
Spatial Transcriptomics and ParseBio support in QIAGEN CLC Single Cell Analysis Module
Amplicon classification for ONT reads in QIAGEN CLC Microbial Genomics Module
New Structural variant detection for long read and De novo assembly of PacBio HiFi reads
Importer for Element, PacBio Onso, Ultima reads, Singular
CRAM format importer / exporter
Fancy new interactive RNAseq Volcano plot for RNAseq
And many more new and improved workflow and reporting capabilities

Join this webinar to:

Learn how to take advantage of the latest improvements
Get an overview of the many tools available to you
Make sure to join this webinar to elevate your understanding of current trends in bioinformatics

Can't make it at this time? Don't worry. Register now and we will send you the on-demand recording so you can catch up on what you missed.

What’s new in QIAGEN CLC Genomics Workbench version 24 - NA/LATAM
2024-01-30 13:00 - 14:00 (America/New_York) | Virtual - Americas - EST, United States

Long reads analysis using CLC Genomics workbench (with new features - 2024)
2024-02-13 13:00 - 14:30 (America/New_York) | Virtual - Americas - EST, United States
This webinar will introduce users to the long read support plugin for Oxford Nanopore and PacBio sequencing reads in QIAGEN CLC Genomics Workbench.
Participants will learn the following:
• Download and install needed plugins.
• Import data required for the analysis.
• Long read de novo assembly.
• Map reads to a reference and visualize an assembly.
• Use BLAST to investigate the contigs.
• Additional long read tools: polish with short reads, structural variant calling.
• Genome finishing tools: analyze and assemble contigs
• Analytical tools: RNA-seq analysis for long reads, classify long read amplicons for metagenomics.

Introduction to Analysis Match in IPA - Compare your gene and protein expression data to over 100.000 published experimental data
2024-02-14 10:00 - 11:00 (America/New_York) | Virtual - Americas - EST, United States
With all the expression datasets that are available to the public, wouldn’t it be great to compare them to your own expression data, so you could get a better understanding of the underlying biology of your data?
With QIAGEN IPA Analysis Match, you can compare your expression data with well over 100,000 publicly available datasets that have been processed and analyzed in IPA, as well as all the IPA analyses that you have performed to date.
In this webinar, we will cover how Analysis Match works and demonstrate this feature with a live demonstration. Feel free to follow along with your analysis and ask questions along the way!

Introduction to Analysis Match in IPA - Compare your gene and protein expression data to over 100.000 published experimental data
2024-02-14 16:00 - 17:00 (Europe/Paris) | Virtual - EMEA - CET

Single Cell RNA-Seq, Cell Hashing, and Spatial Transcriptomics
2024-02-15 08:00 - 17:00 UTC
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.
Using CLC Genomics Workbench, you will learn how to perform secondary analysis on your single-cell RNA-seq data. 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 a 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.

ATCC cell line data utilization for cell line selection, validation and other applications
2024-02-15 13:00 - 14:30 (America/New_York) | Virtual - Americas - EST, United States
Cancer cell line models have been a cornerstone of cancer research for decades. Profiling cancer cell lines can be a powerful tool to identify gene alterations or cancer-related pathways and aid in discovering putative drug targets. In this webinar, we'll use QIAGEN OmicSoft Lands and QIAGEN Ingenuity Pathway Analysis (IPA) to help you select cell lines and translate insights from your cell line experiments for drug target discovery.
During this 90-minute discussion, we'll explore how you can use these software tools to:
• Select appropriate cancer cell lines for a variety of applications such as drug discovery, precision disease modeling, understanding gene function in cancer, immune-oncology research and more
• Examine various 'omics data for genes of interest for 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 the drug target identification
• Integrate analyses of 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 user-generated networks
Our system uses millions of curated literature findings from QIAGEN Knowledge Base and the OmicSoft digital warehouse. This discussion is intended for both those familiar with QIAGEN IPA and newcomers interested in learning more.

Mining curated knowledge graphs and validating with experimental datasets to accelerate your drug target discovery
2024-02-20 13:00 - 14:30 (America/New_York) | Virtual - Americas - EST, United States
In an era of near-limitless public experimental data but little standardization, meaningful insights are lost to noise. Large collections of quality experimental data are essential for big-picture discoveries that stand up to scrutiny.
In this webinar, you will learn how to feed your drug discovery programs by integrating connections mined from QIAGEN Biomedical Knowledge Base with deeply curated disease datasets from QIAGEN OmicSoft Lands.
Combining unified 'omics datasets with contextual relationship evidence from our knowledge graph, we will address complex questions such as:

Which genes aren't expressed in normal tissue, yet are expressed in diseases of interest, based on experimental evidence?
Which of these proteins are cell surface proteins, with evidence for extracellular localization?
How are these proteins related directly or indirectly to disease pathways, and can these be connected to known drug targets?
Can we identify correlated biomarkers, mutation targets, clinical factors or other means of cohort selection?

How biopharmaceutical companies can leverage expert-curated knowledge from Wellcome Sanger Institute and QIAGEN to accelerate cancer drug discovery and development
2024-02-21 09:00 - 10:00 (America/New_York) | Virtual - Americas - EST, United States
The cancer drug discovery landscape is shifting. While research continues to grow in cost and complexity, the pace of development has never been faster. Biopharmaceutical companies can’t afford to waste time and resources pursuing ineffective or unsafe ideas.
In this talk, our experts discuss how biopharmaceutical companies can leverage key genomic, biomedical, and clinical trial databases to improve and accelerate cancer drug discovery while avoiding potential pitfalls. Through a series of use cases, attendees will learn about expert-curated knowledge from the Wellcome Sanger Institute and QIAGEN, and how to use these resources to better predict cancer-driving effects of mutations, identify available drugs that target specific variants, and accelerate indication expansion and repurposing of existing cancer therapies.
Learning objectives:
1. Examine use-cases of how to leverage expert-curated databases across multiple phases of cancer drug development.
2. Discover key applications of these databases, including determining the function, frequency, and actionability of specific mutations.
3. Discuss potential pitfalls and clinical consequences, and how to avoid them early with data-driven drug target and biomarker qualification.

Public single-cell RNA-seq data investigation using QIAGEN Omicsoft and Ingenuity Pathway Analysis
2024-02-27 13:00 - 14:30 (America/New_York) | 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)

Biomarker discovery, target validation, and variant identification using QIAGEN OmicSoft DiseaseLand, Human Gene Mutation Database, and Ingenuity Pathway Analysis
2024-02-29 13:00 - 14:30 (America/New_York) | Virtual - Americas - EST, United States
In this webinar, users will learn how to leverage solutions from QIAGEN Digital Insights to discover biomarkers, validate targets, and identify variants. Specifically, users will learn:
1. How to locate public studies of interest using OmicSoft DiseaseLand.
2. Investigate the expression of genes of interest across different treatments, disease states, etc.
3. Identify variants of interest for candidate biomarkers and targets using the Human Gene Mutation Database.
4. Leveraging the QIAGEN Knowledgebase in Ingenuity Pathway Analysis to explore and extend findings from OmicSoft DiseaseLand and Human Gene Mutation Database.
5. Learn about additional methods to access data from OmicSoft, Human Gene Mutation Database, and Ingenuity Pathway Analysis for data scientists.

New user training: Large dataset analysis and knowledge base queries using QIAGEN Ingenuity Pathway Analysis (IPA)
2024-03-06 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 an IPA license,
To install IPA before or after this training, please use the below installer.
https://qiagen.showpad.com/share/CBv30blCPKFDUYHRWtAvI

Using COSMIC to predict, identify, and avoid mutational consequences of cancer therapies during early drug development and in patients
2024-03-07 11:00 - 12:00 (America/New_York) | Virtual - Americas - EST, United States
Whether your lab is researching and developing targeted cancer therapies or you are analyzing and interpreting diagnostic tests at the point-of-care, a critical part of your workflow is understanding the structural and functional impact of cancer-related mutations.
The Catalogue Of Somatic Mutations In Cancer (COSMIC) is an expert-curated database encompassing a wide variety of somatic mutation mechanisms causing human cancer. Containing more than 24 million somatic variants with detailed information on mutation distribution, effects, and signatures, COSMIC helps users better predict the cancer-driving effects of mutations and identify available drugs that target specific variants. COSMIC continues to expand its utility with continuous updates to its Mutational Signatures, the Cancer Mutation Census, and Mutation Actionability in Precision Oncology products.
To illustrate key applications of these features, this webinar will focus on how COSMIC can be used to avoid mutational consequences in cancer drug development and to detect mutational consequences of therapies in clinical diagnostics.
Through these clinical and discovery use cases, attendees will:

Learn how to use COSMIC to identify and prioritize coding and non-coding mutational hotspots
Understand how COSMIC helps determine actionability of clinically approved homologous recombination deficiency signatures
Explore future uses of non-coding and signature-based COSMIC content for drug development and potential clinical diagnostic applications

Using ATCC cell line data for cell line selection, validation and other applications
2024-03-14 13:00 - 14:30 (America/New_York) | Virtual - Americas - EST, United States
Cancer cell line models have been a cornerstone of cancer research for decades. Profiling cancer cell lines can be a powerful tool to identify gene alterations or cancer-related pathways and aid in discovering putative drug targets. In this webinar, we'll use QIAGEN OmicSoft Lands and QIAGEN Ingenuity Pathway Analysis (IPA) to help you select cell lines and translate insights from your cell line experiments for drug target discovery.
During this 90-minute discussion, we'll explore how you can use these software tools to:
• Select appropriate cancer cell lines for a variety of applications such as drug discovery, precision disease modeling, understanding gene function in cancer, immune-oncology research, and more
• Examine various 'omics data for genes of interest for 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
• Integrate analyses of 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 user-generated networks
Our system uses millions of curated literature findings from the QIAGEN Knowledge Base and the OmicSoft digital warehouse. This discussion is intended for both those familiar with QIAGEN IPA and newcomers interested in learning more.

Expert Roundtable: Advances in Genomic Testing for Rare Disease Diagnostics
2024-03-21 11:00 - 12:00 UTC
Over the past decade, whole-exome and whole-genome sequencing have transformed the diagnosis of patients with suspected rare genetic diseases. However, despite recent advancements, a large number of patients with rare genetic diseases remains undiagnosed for years because they have limited access to comprehensive genomic testing.
In this virtual roundtable of leading rare disease experts, panelists will discuss:

The state of clinical genomic testing for rare disease at their institutions.
How recent advances in sequencing technology and data analysis, including artificial intelligence (AI), are increasing diagnostic rate.
How barriers to patient access to testing can be removed to improve the care of all people living with rare genetic diseases.

Panelists:
Danny E. Miller, MD, PhD
Assistant Professor, Department of Pediatrics, Division of Genetic Medicine, University of Washington
Vaidehi Jobanputra, PhD, FACMG
Associate Professor of Pathology and Cell Biology, Columbia University Medical Center
Gilad D. Evrony, MD, PhD
Assistant Professor, Departments of Pediatrics and Neuroscience and Physiology, NYU School of Medicine

Malte Spielmann, MD, PhD
Professor of Human Genetics, University Hospital Schleswig-Holstein, Germany

Agilent Alissa to QCI Interpret: How can your lab reduce the stress and complexity of transitioning to a new clinical informatics platform?
2024-03-26 11:00 - 12:00 (America/New_York) | Virtual - Americas - EST, United States
In 2023, Agilent announced the discontinuation of their Alissa Interpret clinical informatics platform by the end of 2024. As a result, many of their current customers need to transition to a new variant interpretation and reporting software within a tight timeframe. However, when evaluating new interpretation solutions, clinical labs must consider a variety of factors, including:

Content quality for clinical reporting
Flexibility to adapt current workflows to a new platform
Retaining historical content and comments
Ease of personnel training

In this webinar, learn about QCI Interpret, a panel- and sequencer-agnostic clinical informatics platform for NGS variant interpretation and reporting of germline and somatic tests. Our experts will address the concerns of current Agilent Alissa users and discuss what sets QCI Interpret apart from other interpretation solutions. In addition, we will show you how seamless it is to transition your historical data and comments into QCI Interpret, as well as provide a live demonstration of the industry-leading and reliable software that has been used to analyze and interpret more than 3.5 million patient test cases worldwide.

Single-Cell RNA-Seq, Cell Hashing, and Spatial Transcriptomics
2024-03-26 13:00 - 14:30 (America/New_York) | Virtual - Americas - EST, United States
A slide illustrating some of the many result types/graphics you will be able to generate after this training. https://qiagen.showpad.com/share/jYTCDPNfz1SdIMPQPSPYS Description: 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. Using CLC Genomics Workbench, you will learn how to perform secondary analysis on your single-cell RNA-seq data. 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 tables for clusters, cell types, or a combination of both o Heat map o Dot plots o Violin plots • Learn how to use “Create Cell Annotations from Hashtags” for cell hashing, as with CITE-seq • Dive into spatial transcriptomic analysis, the latest feature in the single-cell RNA-seq module

Multi-omics (metabolomics, proteomics, transcriptomics) analysis using QIAGEN Ingenuity Pathway Analysis
2024-03-28 13:00 - 14:30 (America/New_York) | Virtual - Americas - EST, United States
This 90-minute training session will show you how QIAGEN Ingenuity Pathway Analysis (IPA) visualizes molecular intricacies and variations at the transcriptome, proteome and metabolome levels. Through a series of brief technical vignettes, you will learn how to: • Generate associations among molecular signatures obtained by 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

How to scale-up comprehensive genomic profiling and deliver confident variant interpretations with QCI Interpret for Oncology
2024-04-04 13:00 - 14:00 (America/New_York) | Virtual - Americas - EST, United States
In this webinar, attendees will learn how QCI Interpret for Oncology enables you to:

Navigate from VCF to final report with speed, precision, and confidence;
Easily issue report addendums without the need for re-running a VCF;
Streamline structural variant filtering based on user-set thresholds and hence reduce the time and effort needed to eliminate noise and identify truly relevant variants for reporting;
Utilize built-in AI capabilities to identify all the literature, case reports, drug therapies, and clinical studies relevant to a patient’s tumor type with just one click.

QIAGEN Ingenuity Pathway Analysis (IPA) new user training
2024-04-04 13:00 - 15:00 (America/New_York) | Virtual - Americas - EST, United States
Large dataset analysis and exploring the knowledge base using QIAGEN Ingenuity Pathway Analysis (IPA)
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 licenses: download the installer from the link below to install IPA before or after the training.
https://qiagen.showpad.com/share/CBv30blCPKFDUYHRWtAvI
To learn more about IPA or request a trial: https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/analysis-and-visualization/qiagen-ipa/?cmpid=CM_QDI_DISC_042024webinars-NUT

Human Genome Meeting 2024
2024-04-08 - 2024-04-10 | Rome, Italy, Rome, Italy
This year at the Human Genome Meeting (HGM), QIAGEN will be showcasing our Sample to Insight solutions for whole genome, exome, and large panel sequencing for oncology and inherited disease applications. 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 HGM 2024.

Don't miss the QIAGEN symposium!

Join Dr. Michela Bulfoni of the Istituto di Anatomia Patologica Azienda Sanitaria Universitaria Friuli Centrale, Udine, as she discusses how her lab is using Sample to Insight solutions from QIAGEN, including two custom NGS panels, CLC Genomics Workbench, and QCI Interpret, to perform tumor molecular profiling as a routine part of clinical diagnostics.
