Bioinformatics Software | QIAGEN Digital Insights

Isolate typing, strain identification and antimicrobial resistance analyses using QIAGEN CLC Genomics Workbench
2023-11-09 13:00 - 14:30 (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. We’ll cover these topics in the training: 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

AMP 2023
2023-11-14 - 2023-11-18 | Salt Lake City, Salt Lake City, UT, United States
AMP is the leading organization in the field of molecular diagnostics, and our annual meeting is widely considered the “premier gathering” of molecular professionals. As always, we will explore how cutting-edge technology and developments in molecular testing continue to have a major and direct impact on patient care. The AMP 2023 Program Committee is planning an impressive program to spark dialogue and engagement amongst attendees and exhibitors from around the world, and we look forward to welcoming you to discuss the latest in molecular diagnostics and network with friends and colleagues.

IPA deeper dive: miRNA investigation using QIAGEN Ingenuity Pathway Analysis (IPA)
2023-11-14 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 novel biological mechanisms

Easily process your FASTQ files
2023-11-15 13:00 - 14:30 (America/New_York) | Virtual - Americas - EST, United States
Do you ever get stuck processing raw FASTQ data or cell matrix data from your RNA-seq, scRNA-seq or other NGS assays using? Are you interested in creating a differential expression table that’s compatible with the QIAGEN Ingenuity Pathway Analysis (IPA) software you use? In this training, you’ll learn how to use QIAGEN CLC Genomics Workbench to easily process your FASTQ files and generate differential expression tables without using command line tools. We’ll also explore how you can generate other desired outputs, such as volcano plots, heatmaps, PCA/PCOA plots and more.
You can delve into more information about QIAGEN CLC Genomics Workbench here:
https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/analysis-and-visualization/qiagen-clc-genomics-workbench/

How clinical labs can confidently assess cancer-associated variants with real-world data and expert-curated genomic evidence
2023-11-16 13:00 - 14:00 (America/Halifax) | Virtual - Americas - EST, United States
Across various stages of the clinical oncology workflow, from panel design to genomic testing and molecular tumor boards, the identification and validation of actionable genomic alterations is critical. The advent of next-generation sequencing (NGS) has led to an exponential increase in the number of variants detected in tumor testing, posing a challenge for clinical cancer genetics professionals seeking to confidently discern clinically relevant mutations that can guide patient care decisions.

Join Dr. Umadevi Thirumurthi, Associate Director of Global Product Management for Oncology at QIAGEN Digital Insights as she discusses how the Human Somatic Mutation Database (HSMD), an expert-curated somatic variant database, can enhance your clinical NGS workflow.

Attendees will learn how HSMD:

Can be used to design targeted panels, streamline somatic variant analysis, and support molecular tumor board decisions;
Provides access to data from over 419,00 real-world oncology cases and human-certified expert curation
Enables users to effortlessly explore mutational characteristics across genes, synthesize critical information from drug labels and professional guidelines, investigate ongoing clinical trials, and access comprehensive annotations for each observed variant

Making discoveries from public data (GEO, SRA and more) using QIAGEN Ingenuity Pathway Analysis
2023-11-16 13:00 - 14:30 (America/New_York) | Virtual - Americas - EST, United States
You requested it, and we’re here to deliver. We’re excited to offer you 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 QIAGEN Ingenuity Pathway Analysis (IPA) and the IPA Analysis Match Explorer feature. Your trainer will walk you through use cases in related to 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.
In this training, we’ll cover topics such as: • How is a gene of interest expressed across different conditions? • Is there a correlation in expression for two genes or biomarkers of user interest for a given condition? • For a given condition of interest, can we derive a list of genes (for example, genes specific to a disease, treatment or cell type)? • Can we generate custom cohorts of patients (for example, TP53 wt vs mutant or PDCD1 high vs low expression) and then generate survival curves representing those cohorts? Can we generate p-value to see if there is a significant difference? • Recent update: Can we detect the expression of a gene in different cell types from single-cell data?

QIAGEN CLC Genomics Workbench for your miRNA data analyses
2023-11-29 10:00 - 11:00 (America/New_York) | Virtual - Americas - EST, United States
Join us for our webinar, where we'll focus on miRNA data analysis using QIAGEN CLC Genomics Workbench and Biomedical Genomics Analysis plugin. Together, we'll explore how you can: • Import reads and metadata • Download miRBase database • Quantify miRNA expression • Perform differential expression analysis • Visualize your results • Create and use a custom database Bring any questions you may have, and we will answer them during the webinar.

Comprehensive Molecular Tumor Analysis (CMTA) integrating RNAseq and tumor immune microenvironment (TME) for targeted therapy
2023-12-05 11:00 - 12:00 (America/New_York) | Virtual - Americas - EST, United States
Precision oncology approaches have made great strides harnessing individual tumor mutation profiles to guide targeted therapy choices. However, deeper molecular insights are needed to improve personalized treatment decisions that are tailored to specific molecular characteristics of a tumor. Integrating gene expression analysis in personalized oncology provides an additional level of insight that cannot be provided by genomic data alone. These analyses include evaluating expressed mutations and drug targets, novel gene fusions, clinically relevant signatures, and the tumor immune microenvironment (TME).
Comprehensive Molecular Tumor Analysis (CMTA) is a NGS-based innovative tumor diagnostic test developed by Alacris Theranostics. The test integrates whole exome and transcriptomic sequencing (WES and RNAseq) and is deployed as an end-to-end accredited diagnostic platform from tumor sample uptake (FFPE or frozen) to personalized clinical interpretation report. Designed to serve all cancer patients, CMTA is a tumor-agnostic test that displays a unique molecular view into each individual sample, which is particularly well-suited to refractory cancers with complex patterns or tumors of unknown origin.
In this webinar, Alacris Theranostics will discuss the benefits of comprehensive tumor profiling in clinical settings and present the strategy implemented in their bioinformatics pipeline to identify cancer-relevant somatic events. In addition, the diagnostic company will share how they use QIAGEN Clinical Insight (QCI) Interpret to annotate variants and identify potential therapeutic entry-points.

New user training: Large dataset analysis and knowledge base queries using QIAGEN Ingenuity Pathway Analysis (IPA)
2023-12-05 13:00 - 15:00 (America/New_York) | Virtual - Americas - EST, United States
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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

Mining curated knowledge graphs and validating with experimental datasets to accelerate your drug target discovery
2023-12-06 14:00 - 15:00 (Europe/Paris) | Virtual - EMEA - CET
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?

Translating COSMIC's gold standard data into actionable insights
2023-12-07 11:00 - 12:00 (America/New_York) | Virtual - Americas - EST, United States
As the vast landscape of genetic oncology continues to expand, the ability to understand and utilize the full potential of this rich data becomes increasingly challenging. As a result, researchers, scientists, and clinicians need an accessible, streamlined and standardized way of keeping track of this potentially crucial, ever-growing body of actionable knowledge. Over the course of 20 years, COSMIC, the Catalogue Of Somatic Mutations In Cancer, has expertly curated the world’s largest, most comprehensive database for somatic mutation information relating to human cancer. Today, COSMIC is used worldwide by revered research and clinical institutes, biotech and pharmaceutical companies, and more.

In this webinar, Leonie Hodges, Scientific Communications Officer for COSMIC, will delve into the wide range of datasets that COSMIC offers, detailing the content, how to obtain actionable insights from the genomic data, and how to potentially use this data for real-world applications. Following the talk, there will be a live Q&A with Jennifer Wilding, Scientist Curator at COSMIC and Alex Holmes, Senior Database Curator at COSMIC.

By attending this webinar, you will learn how to:

Explore the wide range of datasets that COSMIC offers, including the Cancer Mutation Census and Mutational Signatures;
Gain insights from COSMIC’s gold standard genomic data by taking either a disease or gene centric view of your research;
Identify potential applications of COSMIC data and how it enables users from a plethora of disciplines to experiment and innovate with confidence.

Mining curated knowledge graphs and validating with experimental datasets to accelerate your drug target discovery
2023-12-07 13:00 - 14:00 (America/New_York) | Virtual - Americas - EST, United States

Target exploration and cell line selection for drug discovery
2023-12-12 13:00 - 14:00 (America/New_York)
Cancer cell line models have been a cornerstone of cancer research for decades. Cancer cell lines profiling can be a powerful tool for the identification of genes’ alterations or pathways cancer-related and for the discovery of putative drug targets. This webinar will focus using Qiagen OmicSoft Lands and Ingenuity Pathway Analysis as guides for the selection of cell lines and translation of insights gained from cell lines for drug target discovery.
This 90-minute event will show how our platform enables scientists:
• 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.
• Examine various ‘omics data for genes of interest for expression, mutation, hotspots, and gene dependency data.
• Generate networks for hypotheses and test the in-silico to improve translation of insights derived from cell line models to the drug target identification.
• Integrated 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).
• How to 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 in the QIAGEN/ IPA knowledge base and the OmicSoft digital warehouse. The presentation is intended for both those familiar with Ingenuity Pathway and newcomers interested in learning more.

How to perform DNA-seq and resequencing data analyses using QIAGEN CLC Genomics Workbench
2023-12-13 10:00 - 11:00 (America/New_York) | Virtual - Americas - EST, United States
In this webinar, we’ll introduce algorithms required to perform data analysis for resequencing next-generation sequencing data. Together, we’ll explore: • Read mapper • Variant callers • Annotations and filters • Genome Browser Bring any questions you may have, and we will answer them during the webinar.

One tool to help biopharma accelerate cancer drug discovery and repurposing: A translational research use-case and discussion
2023-12-13 11:00 - 12:00 (America/New_York)
The development of new cancer drugs is challenging, costly, and time-consuming. As translational research on cancer diagnostics and genomic profiling rapidly evolves, the ability to confidently and efficiently identify specific oncogenes and tumor suppressors involved in oncogenesis is becoming increasingly difficult.
This brief half-hour webinar is intended for biopharmaceutical and biotechnology professionals who need more efficient ways of discovering, developing, and repurposing drugs for oncology applications. During the session, attendees will explore a demonstration and a use-case presented by Dr. Kyle Nilson, providing insights into the Human Somatic Mutation Database (HSMD)—a new somatic database developed by QIAGEN that contains extensive genomic content relevant to solid tumors and hematological malignancies.
HSMD is an exceptional resource for biopharmaceutical and biotechnology companies, facilitating the confident evaluation of cancer-related genetic variations by granting access to real-world data. Powered by QIAGEN’s extensive artificial intelligence (AI)-enabled Knowledge Base, robust curation team composed of over 100 expert curators (MD and PhD level), and data from QIAGEN’s professional variant interpretation service (previously N-of-One), HSMD encompasses a vast repository of over 4.7 million meticulously curated genetic alteration findings and variant data over 500,000 somatic patient cases. Attendees will explore how HSMD enables biopharmaceutical and biotechnology companies to gain deeper insights into the molecular cancer profiles, identify therapeutic options, and develop strategies for finding new therapies for a particular cancer type or even for a particular patient.
Attendees will:

Learn what content sources power HSMD
Understand how to use and apply HSMD for multiple applications, including translational research and pharmaceutical development
Examine a use case of how to use HSMD to accelerate research, development and repurposing in cancer drug development programs
Receive a complimentary 5-day trial of HSMD

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.
