Bioinformatics Software | QIAGEN Digital Insights

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.

Integrating deeply curated omics data with APIs for biomarkers and drug target investigation
2024-04-09 13:00 - 14:00 (America/New_York) | Virtual - Americas - EST, United States
This webinar is for data scientists and bioinformaticians who need extensive high-quality omics data to target discovery efforts. Learn how to programmatically discover, retrieve, filter, aggregate and analyze omics (RNA-seq, scRNA-seq, microarray, proteomics etc.) data from QIAGEN’s comprehensive repository 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 disease-related patterns.
Join us to learn how QIAGEN OmicSoft Lands API can revolutionize your data analysis workflows and help you make more informed decisions. Topics to be covered:
• Search for gene signatures to find relevant datasets through Gene Set Analysis
• Identify the correlation of results
• Find multiple datasets with the same metadata (metadata refers to cell type, tissue, disease, drug treatment etc., associated with public data)
• Perform meta-analysis for novel discoveries
• Test cell specificity with custom aggregation

Gene set enrichment, target validation and more using high quality biomedical literature findings
2024-04-11 13:00 - 14:00 (America/New_York) | Virtual - Americas - EST, United States
This 60-minute session will teach you how to effectively use a relationship database for various applications. QIAGEN Biomedical Knowledge Base (Biomedical KB), a database containing high-quality relationship literature findings, the same database backing Ingenuity Pathway Analysis/IPA) will be used, but learnings can also be applied to similar databases.
The following points will be discussed:
• Gene set enrichment analysis using Biomedical KB
• Target validation through Biomedical KB findings
• Potential other use cases, queries and applications requested by registrants

Germline and Somatic Variant Investigation using COSMIC, HGMD and QCI-IT
2024-04-16 13:00 - 14:00 (America/New_York) | Virtual - Americas - EST, United States
The accurate identification and annotation of germline and somatic variants rely on the accuracy and depth of reference databases that contain information about the genetic variants, any associated phenotype, and their clinical implications. By combining COSMIC, HGMD and QIAGEN QCI-IT, scientists can 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. The software and databases allow you to get valuable and reliable insights for your research project and speed up your discoveries related to disease-causing and disease-associated germline and somatic variants.
In this training, you will:
1. Learn about COSMIC, the world’s largest, most comprehensive, expert-curated resource for somatic mutations in human cancers, and how COSMIC can help you identify variants of interest for cancer research.
2. Hear about the breadth and depth of HGMD (Human Gene Mutation Database) and how HGMD can aid in your search for disease-causing and disease-associated germline mutations.
3. Explore the capabilities of QCI-IT, which can help accelerate your discoveries from hereditary or tumor cohort analyses, and find associations between gene variants and diseases from VCF files.
To learn more about the products or request for a trial:
COSMIC: https://digitalinsights.qiagen.com/products-overview/cosmic/?cmpid=CM_QDI_DISC_042024webinars
HGMD: https://digitalinsights.qiagen.com/products-overview/clinical-insights-portfolio/human-gene-mutation-database/?cmpid=CM_QDI_DISC_042024webinars
QCI-IT: https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/qci-interpret-translational/?cmpid=CM_QDI_DISC_042024webinars

Ai and Data in Pharma Healthcare Summit
2024-04-18 - 2024-04-19 | Munich, Munich, Germany

Nordic Precision Medicine Forum 2024
2024-04-22 - 2024-04-23 | Stockholm, Stockholm, Sweden

Swiss Biotech Day 2024
2024-04-22 - 2024-04-23 | Basel, Basel, Switzerland

DNA-seq analyses (whole genome, whole exome, panel) using QIAGEN CLC Genomics Workbench
2024-04-23 13:00 - 14:30 (America/New_York) | Virtual - Americas - EST, United States
In this training, we’ll go over how to easily perform DNA-seq analyses (for whole genome, whole exome, panel and similar) easily and effectively using QIAGEN CLC Genomics Workbench.
Together, we’ll explore:
• Read mapping
• Variant calling (SNPs, mutations, Indels and more)
• Annotations and filters
• Genome Browser
Please bring any questions you may have, and we will answer them during this training. To learn more about CLC Genomics Workbench or request for a trial:
https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/analysis-and-visualization/qiagen-clc-workbench-premium/?cmpid=CM_QDI_DISC_042024webinars-DNAseq

IPA deep dive: miRNA investigation using QIAGEN Ingenuity Pathway Analysis (IPA)
2024-04-30 13:00 - 14:30 (America/New_York) | 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 biological mechanisms
To learn more about IPA or request for a trial:
https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/analysis-and-visualization/qiagen-ipa/?cmpid=CM_QDI_DISC_042024webinars-miRNA

Network construction and customization with QIAGEN Ingenuity Pathway Analysis
2024-05-02 13:00 - 14:30 (America/New_York) | Virtual - Americas - EST, United States
Per attendees’ requests from a recent training, we are hosting this in-depth training focused on effectively constructing a network, with or without a dataset (RNA-seq, proteomics, etc.), and easily modifying it – all within Ingenuity Pathway Analysis.
In this interactive training, attendees will learn how to:
• Construct a network from scratch or open a network/pathway of interest from their analysis or the Ingenuity Knowledge Base
• Effectively use tools present in the Build and Overlay menus to add molecules (genes/proteins, chemicals, metabolites), biological processes/diseases of their interest and more
• Modify the network (e.g., to keep only a specific type of relationship like activation, phosphorylation, protein-protein binding and more)
• Perform in silico prediction (e.g., if a drug, siRNA or CRISPR were to reduce the activity of a gene/protein, how will it impact the remaining genes/proteins/diseases in that network)
• Export high-resolution graphics or tabular relationships and make the created network usable in future pathway analysis
Additional QIAGEN Digital Insights (QDI) scientists will be on the call to answer your questions and help with other concerns, such as installing the software.
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_052024webinars-network

New user training: Large dataset analysis and knowledge base queries using QIAGEN Ingenuity Pathway Analysis (IPA)
2024-05-07 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

International Symposium of Variants 2024
2024-05-13 - 2024-05-15 | Porto, Porto, Portugal

QIAGEN Biomedical Knowledge Base: data- and analytics-driven drug discovery
2024-05-14 13:00 - 14:30 (America/New_York) | Virtual - Americas - EST, United States
Ingenuity pathway analysis (IPA) which is currently cited in tens of thousands of publications and used by large number of biopharmaceuticals is backed by QIAGEN Biomedical Knowledgebase. Accordingly, Biomedical relationships knowledge has more or less become a requirement 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 1hr webinar, the speaker will introduce Biomedical Knowledgebase and how it allows its users to tackle applications that are not doable by Ingenuity Pathway Analysis graphical user interface or can be done faster and with more flexibility programmatically. The speaker will demonstrate queries such as
• Quickly find the shortest connections between genes/proteins/metabolites of interest in the context of specific disease through queries
• Systematically build a network given a short list genes/proteins/metabolites/chemicals
• Recreate a drug mechanism of action
Note: Per feedback of registrants, we may edit above topics as we would like to cover what would be most relevant to you.

Mitigating Variability in Somatic Variant Interpretation with Live Q&A
2024-05-15 13:30 - 14:30 (America/New_York) | Virtual - Americas - EST, United States
Next-generation sequencing (NGS) oncology panels are becoming integral in hospital and academic settings to guide patient treatment and enrollment in clinical trials. But as NGS is increasingly used in precision oncology and an unprecedented amount of genomic information is uncovered, there is an industry-wide issue of standardization: a high degree of variability in variant interpretation currently exists across laboratories.
Inconsistencies in variant interpretation among laboratories can create confusion for clinicians and their patients, leaving them unable to confidently use genetic information to manage healthcare decisions. In this live panel discussion, experts in NGS testing and clinical informatics explore the issues surrounding the standardization of variant interpretation and consider how interpretation guidelines and clinical decision support (CDS) software can help to mitigate variability between laboratories.
Topics of discussion will include:
• Findings of a peer-reviewed study comparing the accuracy and consistency of variant assessments from commercial CDS software to the internal variant interpretation methods of eight laboratories.
• Causes of inter-laboratory inconsistency in variant interpretation and how to mitigate variability.
• The benefits of having an up-to-date, high-quality knowledge base to produce consistent, evidence-based clinical classifications.

Leveraging the power of API-based omics (RNA-seq, proteomics and more) queries for discovery
2024-05-16 13:00 - 14:00 (America/New_York) | Virtual - Americas - EST, United States
There is a strong interest in the scientific community to use public (GEO, SRA, TCGA, LINCS, etc.) omics (RNA-seq, scRNA-seq, microarray, proteomics, etc.) data for a variety of discoveries. This webinar, aimed at data scientists, bioinformaticians and similar roles in biopharma and academia, explores a comprehensive way of accessing and analyzing high-quality, expertly curated omics data via the QIAGEN OmicSoft APIs. These OmicSoft APIs provide a powerful and flexible platform for discovering, retrieving, filtering, analyzing and visualizing multi-omic data. You can learn how to access the OmicSoft APIs and programmatically leverage extensive metadata to perform custom analyses and identify targets of interest.
Topics to be covered in this webinar:
• Leveraging curated metadata to structure queries (metadata refers to cell type, tissue, disease, drug treatment etc., associated with public data)
• Finding multiple samples with the same metadata and creating cohorts
• Identifying expression and correlation
• Performing gene set enrichment analysis
• Testing cell specificity with custom aggregation
Please note that the above agenda may be altered per attendee feedback, as we wish to cover what is most relevant to you.
To learn more about OmicSoft data: https://digitalinsights.qiagen.com/news/blog/discovery/boost-your-agility-and-speed-in-drug-development/?cmpid=CM_QDI_DISC_052024webinars-OPI

Clinician’s Roundtable: Interpreting genomic test results for precision oncology
2024-05-16 13:30 - 15:30 (America/New_York) | Virtual Global Event (Times shown in EST)
You’re invited to attend the 2024 Clinician’s Roundtable, a virtual event where medical directors and oncologists will discuss how to better interpret genomic test results to tailor treatment strategies for cancer patients. As the role of the Molecular Tumor Board (MTB) becomes increasingly important in the implementation of evidence-based precision cancer medicine programs, molecular pathology labs must overcome challenges in genomic test interpretation to ensure maximum clinical utility of molecular profiling results. At this event, hear from clinicians at leading universities and organizations as they present real-world case studies of how molecular pathology labs can improve test turnaround, standardize test interpretation, and deliver comprehensive genomic reports with personalized diagnostic, prognostic, and therapeutic information for each patient.
The free-to-attend virtual event will consist of four educational parts:
1. Case Presentations: Clinicians from Dana Farber Cancer Institute and the National Cancer Institute will present cases of how their labs have overcome challenges in genomic test interpretation.
2. Live Q&A Session: Attendees will have the opportunity to ask the clinicians questions about their experiences implementing precision oncology programs at their institutions.
3. Solution Showcase: In a brief presentation, experts from QIAGEN Digital Insights will showcase our leading Sample to Insight solutions for molecular tumor profiling.
4. Future Forecast: The event will conclude with a short presentation about how molecular tumor profiling will change in the next five years and how labs can leverage new technologies to improve patient care.
→ Learn more about the 2024 Clinician’s Roundtable here.

Isolate typing, strain identification and anti-microbial resistance analyses using CLC Genomics Workbench
2024-05-21 13:00 - 14:00 (America/New_York) | Virtual - Americas - EST, United States
QIAGEN CLC Genomics Workbench provides tools and workflows for a broad range of bioinformatics applications, including microbiome analysis, isolate characterization through SNP and K-mer trees using NGS data, and antimicrobial resistance characterization. CLC Genomics Workbench is widely used for analyses of bacterial, viral and eukaryotic (fungal) genomes and metagenomes.
Topics covered in this webinar include:
I. Overview of different tools within MGM application and research areas supported
II. Focused review of isolate typing and characterization
a. Importing data
b. Utilization of metadata
c. Downloading and managing references
i. Database of Isolates/ Resistances/ MLST
d. Walk through of Type a Known Species workflow
i. Review details for each Isolate
e. Creating SNP profiles to specific reference
f. Generate a SNP tree for isolate comparison
g. Export tabular and high-quality graphical outputs in wide range of file formats

Scale up NGS bioinformatics analysis throughput with CLC Genomics Server and Cloud solutions
2024-05-22 13:00 - 14:30 (America/New_York) | Virtual - Americas - EST, United States
More and more biopharma and academic groups are looking to process a large number of samples simultaneously or for a quicker turnaround time. This webinar will introduce a flexible and powerful setup for running your NGS sequence analyses through servers or Amazon Web Services (AWS), depending on user preference. We will demonstrate how CLC Genomics Workbench can be used to customize workflows and send analyses for batch execution. We will also highlight analysis automation solutions, use of third-party dockers, audit trails and user management – all of which are available with the CLC Genomics Server software.
You will learn to:
• Customize template workflows to meet your NGS analysis requirements
• Set up a CLC Genomics Cloud environment on AWS
• Submit workflows to run on internal servers or AWS and retrieve results from these analyses
• Use third-party dockers and automate workflow execution
To learn more:
CLC Genomics Server: https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/enterprise-ngs-solutions/qiagen-clc-genomics-server/?cmpid=CM_QDI_DISC_052024webinars
CLC Genomics Cloud Module: https://digitalinsights.qiagen.com/plugins/clc-cloud-module/?cmpid=CM_QDI_DISC_052024webinars

Streamline H5N1 and other microbial samples with CLC Genomics Workbench
2024-05-23 13:00 - 14:30 (America/New_York) | Virtual - Americas - EST, United States
In this training, you will learn how to analyze viral samples using QIAGEN CLC Genomics Workbench. This webinar will focus on bioinformatics workflows and data interpretation using H5N1 as an example, but similar analysis can be done with other viral and microbial (bacteria, fungus and more) samples.
Using viral samples, you will learn how to:
• Utilize molecular biology tools such as primer design, cloning, alignment and tree construction and Sanger sequencing analysis
• Profile the virus present in a sample and automatically generate read mappings, detect variants, annotate consensus sequences, BLAST annotated consensus sequence genes and build phylogenetic trees for top hits and their close relatives
• Microbial genomics analysis including OTU clustering, taxonomic profiling and functional analysis
• Additional topics of interest based on registration feedback
QIAGEN CLC Genomics Workbench is a user-friendly bioinformatics software solutions for genomics, transcriptomics, epigenomics and metagenomics analysis in one program.

Discovery from public data (GEO, SRA and more) using Ingenuity Pathway Analysis
2024-05-28 13:00 - 14:30 (America/New_York) | Virtual - Americas - EST, United States
Per public demand, we are hosting a comprehensive training on how to effectively use sample level public data and metadata from sources like GEO, SRA, TCGA, GTEx, Blueprint, CCLE and other sources through Ingenuity Pathway Analysis (IPA) and IPA Analysis Match Explorer feature. The trainer will walk through use cases in realms of biomarker discovery, drug–target investigation, studying survival in custom patient cohorts, multi-gene correlation and more.
Note: The word “condition” below refers to different diseases, disease subtypes, treatments, cell types, cell lines and more.
This training will cover topics like
• How is a gene of interest expressed across different conditions?
• Is there a correlation in the expression of two genes or biomarkers of interest for a given condition?
• For a given condition of interest, can we derive a list of genes (example genes specific to a disease, treatment or cell type)?
• Can we generate custom cohorts of patients (example TP53 wt vs mutant or PDCD1 high vs low expression) and then generate survival curves representing those cohorts? Can we generate p-values to see if there is significant difference?
• Can we detect expression of a gene in different cell types from single cell data?
