tv.qiagenbioinformatics.com

Mapping the Human Body One Cell at a Time

Wed, 05 Nov 2025 16:13:15 GMT

The 37 trillion cells of the human body have a remarkable array of specialized functions and must cooperate in time and space to construct a functioning human.

In this webinar, Sarah Teichmann, professor of stem cell medicine at the University of Cambridge and co-founder and co-leader of the International Human Cell Atlas Consortium, discusses how her lab harnesses cutting-edge single-cell and spatial genomics to better understand this cellular diversity — specifically, how distinct microenvironments regulate cell identity.

The lab’s spatial atlas of the adult human heart includes the first comprehensive map of the conduction system, and it harnessed the unique molecular signature of the very rare pacemaker cells to make predictions about potential drug activities. Moving from the single organ to the systems level, Teichmann’s team revealed the context-specific and context-agnostic features of the vasculature across the body.

Finally, the team has taken cell atlases into 3D and 4D with its thymus atlases. Studying thymus development uncovered the rules of T-cell identity, which Teichmann’s team then harnessed in the dish to engineer T cells from thymic organoids. The lab also used advanced spatial and computational methods to map T-cell development to a continuous tissue axis, identifying the key spatial and temporal features of this crucial developmental trajectory.

Single-cell RNA-seq, cell hashing and spatial transcriptomics

Fri, 24 Oct 2025 09:52:45 GMT

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.
- Dimension reduction (UMAP, t-SNE) plots
- Differential expression table for clusters, cell types, or combination of both
- Heat map
- Dot plots
- 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.

Somatic variant detection with Twist Oncology and QIAGEN CLC

Tue, 07 Oct 2025 12:41:35 GMT

See how highly sensitive somatic detection of classic tumor reference samples is made possible through the Twist Oncology - DNA CGP Panel™ combined with downstream analysis using QIAGEN® CLC Genomics Workbench.

What is the Twist Oncology - DNA CGP Panel?

It is a panel from Twist Biosciences® that is designed for the comprehensive genomic profiling (CGP) of solid tumors to find pathogenic variants. It also supports the scoring of microsatellite instability (MSI) and tumor mutational burden (TMB).

What is QIAGEN CLC Genomics Workbench?

A powerful all-in-one analysis and visualization toolkit, it is software filled with various tools and workflows tailored to next-generation sequencing (NGS) data, including data from a wide range of resequencing panel designs.

Batch Mode in CLC

Mon, 06 Oct 2025 15:16:09 GMT

In this video we introduce sample batching using CLC tools. This can be helpful when you need to perform the same analysis on a large number of files. Also see this manual page for more details:

https://resources.qiagenbioinformatics.com/manuals/clcgenomicsworkbench/current/index.php?manual=Batch_processing.html

Analyzing Samples with Multiple Inputs in CLC

Mon, 06 Oct 2025 15:14:44 GMT

This video demonstrates how to analyze multiple input files per sample using batch mode. Please also see this FAQ page for more details:

How can I run a batch job with multiple libraries for each sample?

Comparing Analysis Parameters using the History View in CLC

Mon, 06 Oct 2025 15:13:47 GMT

The history view keeps track of what tools and parameters were used to generate results in CLC. This video shows how the history view can be used to compare two different analyses when the results are unexpected.

Details about the history view can be found on this manual page:

https://resources.qiagenbioinformatics.com/manuals/clcgenomicsworkbench/current/index.php?manual=History_Element_Info_views.html

How to Create a Track list in CLC

Mon, 06 Oct 2025 15:12:19 GMT

In this video you can learn how to import tracks and create a track list in CLC. Track lists enable users to view multiple track elements at once. Track lists also feature an interactive link between the table view and the plot view.

Use track lists to browse genomic features, zoom into regions of interest, visualize read mappings, inspect variants, and more. Please also see this manual page for more details:

https://resources.qiagenbioinformatics.com/manuals/clcgenomicsworkbench/current/index.php?manual=Track_lists.html

Create publication-ready volcano plots for RNA-sq data using CLC genomics...

Mon, 06 Oct 2025 15:11:15 GMT

This video shows how to customize volcano plots in CLC Genomics Workbench. Check out these tutorials for more RNA-seq related topics:

https://digitalinsights.qiagen.com/support/tutorials/#:~:text=Expression%20and%20fusions

Scale up NGS bioinformatics analysis throughput with QIAGEN CLC Genomics...

Fri, 03 Oct 2025 12:11:29 GMT

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). See how QIAGEN 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 within 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

RNA-Seq Data Analysis and Interpretation using QIAGEN CLC Genomics Workbench...

Fri, 03 Oct 2025 09:27:56 GMT

The increasing adoption of next-generation sequencing in many fields has made RNA-seq data analysis and interpretation essential skills for researchers. In this webinar, discover how you can effortlessly process FASTQ files with QIAGEN CLC Genomics Workbench (CLC). Next, you will import differential expression results directly into QIAGEN Ingenuity Pathway Analysis (IPA) for downstream analysis – enabling a smooth path from data to discovery.

You will learn how to:

• Use CLC to map reads to a reference genome, generate gene/transcript counts and QC reports

• Use CLC to visualize results, such as heatmaps, differential expression tables, PCA/PCOA plots, Venn diagrams and more

• Use IPA to identify enriched canonical pathways, diseases and biological functions and predicted upstream regulators

• Use IPA to compare your analysis results to over 200,000 analyses curated from public ‘omics datasets – including your own projects – to find similarities and differences in pathways, upstream regulators and diseases

Discover Microbial Functional Insights with QIAGEN CLC Genomics Workbench

Thu, 02 Oct 2025 17:04:30 GMT

Join us for an in-depth webinar showcasing the discovery of functional insights in microbial communities using QIAGEN CLC Genomics Workbench tools. Ideal for microbiologists, bioinformaticians and researchers aiming to uncover functional signatures in microbial communities and drive data-driven discoveries, you will learn how to perform a comprehensive whole metagenome functional analysis, from raw NGS data to functional profiling and visualization.

Whether you are working with experimental or clinical samples, this session will equip you with a robust, scalable pipeline for comparative functional metagenomics.

Learn how to:

• Import and prepare raw NGS data

• Assemble metagenomes into contigs

• Map reads and bin pangenomes by sequence

• Identify genes and coding DNA sequences (CDS)

• Annotate functional elements using Gene Ontology (GO) and Pfam domains

• Build functional profiles to explore diversity

• Visualize and analyze functional differences across sample groups

Influenza Virus Typing and Variant Detection Using QIAGEN CLC Genomics Workbench

Tue, 16 Sep 2025 16:08:34 GMT

Join us for a focused webinar showcasing the Type Influenza Strain workflow within QIAGEN CLC Genomics Workbench. This streamlined, template-based workflow enables efficient typing of targeted Influenza virus sequencing data by integrating consensus sequence refinement, reference-based subtype identification and mixed-infection variant detection.

We’ll show how the workflow:

Automatically determines Influenza virus type and subtype
Outputs annotated consensus sequences with gene and CDS tracks for intuitive visualization
Detects low-frequency variants that may indicate mixed infections
Presents results in a consolidated, interactive track list in both nucleotide and amino acid views

Whether you’re tracking circulating strains or monitoring for emerging variants, this workflow offers a rapid and insightful approach to Influenza virus analysis.

Gene Fusion Detection Using QIAGEN CLC Genomics Workbench

Mon, 15 Sep 2025 09:58:21 GMT

This webinar will focus on running the fusion detection analysis within QIAGEN CLC Genomics Workbench and annotating the detected fusions using curated clinical knowledge from Human Somatic Mutation Database (HSMD). Finally, the data will be uploaded to QIAGEN Clinical Insight (QCI) applications for further analysis.

You will learn:

• How fusion detection algorithms work

• To run the fusion detection template workflow

• To interpret the analysis results

• To annotate fusions with HSMD

• To upload and analyze the fusions with QCI Interpret

RNA-seq analysis for long reads

Tue, 10 Jun 2025 16:43:30 GMT

This training will focus on how a user can analyze their long reads data using QIAGEN CLC Genomics Workbench.

Specifically, the trainer will cover how to

• Import the long reads data

• Download or import reference, metadata and other needed files

• Process such data and generate downstream RNA-seq outputs

• Export high resolution graphics and tables

In addition, per registrant feedback and trainer discretion additional topics such as customizing the workflow, how to send data to Ingenuity Pathway Analysis, Sankey plot and more may be covered.

Multimodal panels analysis using QIAGEN CLC Genomics Workbench

Thu, 15 May 2025 10:53:39 GMT

This training will go over how QIAGEN CLC Genomics Workbench can be used to analyze Multimodal Panels data.

Trainer will cover

• How to import your data and metadata and download reference and other needed files

• How to use workflow and customize it

• How to visualize and export the results

Single-cell RNA-seq, cell hashing and spatial transcriptomics

Mon, 12 May 2025 14:26:40 GMT

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.

You will learn how to perform secondary analysis on your single cell RNA-seq data with the Workbench. 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 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.