tv.qiagenbioinformatics.com

From targets to treatments: Data-driven drug discovery across therapeutic areas

Fri, 20 Feb 2026 09:23:25 GMT

The early stages of drug development are inherently high-risk; molecule screening, target evaluation and lead refinement can take years and cost millions of dollars – often have little to show for the effort. Indication expansion and drug repurposing can open new avenues of possibility, after careful evaluation of the relationships between the drug, its targets and the new disease context. These connections can be uncovered by mining curated, causal knowledge graphs, which inform smarter target identification.

Learn how to evaluate targets and drugs in this oncology-focused webinar, which examines BRAF as a target in multiple myeloma. Also, we’ll evaluate different drugs in clinical trials with an analysis that covers the GOT-IT assessment blocks for drug evaluation. These blocks, developed by the GOT-IT (Guidelines On Target Assessment for Innovative Therapeutics) working group, are part of a target assessment framework that supports robust, reproducible data.

We’ll cover how to:

- Apply the GOT-IT framework to target evaluation and indication expansion
- Uncover causal relationships between existing drugs and new diseases with our curated knowledge graphs
- Make informed decisions based on concrete data, including toxicity, adverse events and competing drugs in clinical trials

May 2020 IPA-OS UGM - 1.OmicSoft Core Capabilities Training - Features that...

Wed, 28 Jan 2026 21:51:30 GMT

April 1, 2020 - 1 - OmicSoft DiseaseLand Core Capabilities Training - Elodie...

Wed, 28 Jan 2026 21:50:31 GMT

OmicSoft UGM Fall 2020 - Advanced training by Shawn Prince

Fri, 16 Jan 2026 21:44:45 GMT

In this video, Shawn Prince, Ph.D takes you through the advanced features of QIAGEN OmicSoft with customer use cases

Leveraging QIAGEN OmicSoft for scRNA-Seq in Pharma - Mike Dufault - Sanofi

Mon, 25 Aug 2025 10:47:26 GMT

Discovery from public oncological data using QIAGEN Omicsoft OncoLand and...

Mon, 25 Aug 2025 10:45:20 GMT

In this 90-minute training, we will discuss how to discover and validate biomarkers as well as drug targets and key genes using public oncological data from GEO, TCGA, CCLE and other sources. To do this, we will use QIAGEN Omicsoft OncoLand, QIAGEN Ingenuity Pathway Analysis (IPA) and the OmicSoft Land Explorer web interface.

Specifically, for conditions of interest (diseases, cell lines, treatments etc.), we will discuss how to:
• Identify public studies of interest
• Derive a biomarker/gene signature
• Study expression of a gene or drug target
• Correlate expression of multiple genes and biomarkers
• Visualize a gene signature in the context of a heatmap
• Compare public data with other public data or a user’s own data

Speaker: Sumana Chintalapudi, Ph.D., Field Application Scientist, QIAGEN Digital Insights

IPA Webinar: Part 3: Search and Explore in IPA

Tue, 19 Aug 2025 10:17:49 GMT

IPA has broadly been adopted by the life science research community and is cited in thousands of articles for the analysis, integration, and interpretation of data derived from ‘omics experiments, such as RNA-seq, small RNA-seq, microarrays including miRNA and SNP, metabolomics, proteomics, and small scale experiments. Hosted by two QIAGEN Senior Scientists, this series will show you step-by-step how to implement and use IPA to get the most out of your data.

Part 3: Search and Explore in IPA

Learn how IPA’s knowledge and discovery tools can accelerate your research with the use of recent literature findings and assistance in hypothesis generation. This webinar will describe how to explore inter-related information about genes, biological pathways and more using interactive and customized tools. Leverage this information instantly without needing to upload your data.

Interested in learning more or trying IPA? Click here.

IPA Webinar: Part 1: Introduction to Ingenuity Pathway Analysis

Tue, 19 Aug 2025 10:17:07 GMT

Learn how to quickly and easily identify significant pathways, discover potential novel regulatory networks, and get the most out of your 'omics data!

Part 1: Introduction to the IPA Core Analysis

Learn how to view and interpret Core Analysis results in IPA, which allows you to relate the molecules in your dataset to information in the QIAGEN Knowledge Base. You will learn how to:

Uncover signaling and metabolic canonical pathways enriched in your data
Predict activation or inhibition of upstream regulators
Identify biological functions and diseases that are predicted to be increasing or decreasing
Generate causal hypotheses
Build networks describing potential molecular interactions of your dataset molecules
Compare your analyses to thousands of analyses created from public datasets

Interested in learning more or trying IPA? Click here.

IPA Webinar: Part 2: Formatting and Uploading Your Dataset into IPA

Thu, 10 Jul 2025 21:46:14 GMT

Part 2: Formatting and Uploading Your Dataset into IPA

Learn how to format your own data and upload it into IPA so that you can perform pathway visualization and various different types of analyses. Learn how to:

• Format and upload the data to be analyzed by IPA

• Explore your uploaded data and start an analysis

Interested in learning more or trying IPA? Click here.

Data Formatting in IPA

Thu, 10 Jul 2025 16:24:35 GMT

Learn how to format your dataset for upload and subsequent analysis in IPA. In this video tutorial, you will discover the best practices for structuring your dataset and the data measurement value types you can use for various IPA analyses.

Interested in learning more?

Click here

QIAGEN CLC Genomics Workbench 20 – scalable desktop software for NGS data...

Thu, 10 Jul 2025 15:51:32 GMT

In this webinar, Leif Schauser, Ph.D., Director Product Management Genome Analysis, will review the latest features in the new QIAGEN CLC Genomics Workbench 20. The following topics will be covered:
• One-click solutions and expert tools for NGS data analysis
• Working with reads from various platforms (Illumina, IonTorrent, Oxford Nanopore, Pacific Biosciences, BGI/MGI)
• Tailored solutions for RNA-seq, DNA-seq and methylation
• Efficient algorithms for read trimming, mapping, de novo assembly and variant calling
• Effective management of reference data
• Scalable processing of many samples, with advanced workflow and reporting capabilities
• Easy installation on Windows, Mac and Linux

Interested in learning more?

Click here

Formatting and uploading your dataset into IPA

Tue, 01 Jul 2025 11:38:08 GMT

Learn how to format your own data and how to upload it into IPA. IPA can upload your experimental data to enable you to perform pathways visualization, literature searches on the molecules in the dataset, and to perform the many different types of analyses offered in IPA. In this webinar we will use gene expression data as an example dataset.

Interested in learning more?

Click here

Timestamp placements and descriptions:

0:00-2:09 Introduction to the webinar

2:10-3:44 Example dataset used for the live demonstration

3:45-7:58 Dataset formatting rules

7:59-8:57 Multiple Observation dataset example

8:58-11:42 Types of data measurement values you can use

11:43-13:03 Additional formatting rules

13:04-14:32 Uploading files from Cufflinks software

14:33-16:22 Live demo: where you can start the upload process

16:23-26:06 Uploading data with Core Analysis options

26:07-27:07 Setting up the type of Core Analysis to be used

27:08-29:21 Create Core Analysis page: General Settings

29:22-30:38 Create Core Analysis page: Network options

30:39-31:26 Create Core Analysis page: Other filtering options

31:27-32:57 Create Core Analysis page: Preview dataset options

32:58-34:31 Create Core Analysis page: Applying cutoffs

34:32-35:36 How to start the analysis

35:37-38:07 Summary of the webinar

38:08-end Customer Support and additional resources information

ChIP-seq, Histone-seq and Methyl-seq analysis using CLC Genomics Workbench

Thu, 26 Jun 2025 22:42:47 GMT

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

Specifically, the trainer will cover how to

• Import the raw sequencing data

• Download or import reference, metadata and other needed files

• Mapping reads to a reference genome

• Calling and visualizing peaks

• Export graphical and tabular results

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

De novo assembly, BLAST and genome finishing using CLC Genomics Workbench

Wed, 18 Jun 2025 15:20:48 GMT

This webinar will introduce users to the tools available for short reads (Illumina) as well as long reads (Oxford Nanopore, Pac Bio) de novo assembly in CLC Genomics Workbench. It will also go over other useful functionalities such as BLAST and genome finishing.

Participants will learn the following:

o Download and install needed plugins.

o Import data required for the analysis.

o Run the de novo assembly workflow.

o For long reads, improve a de novo assembly by polishing with short, high-quality reads.

o Map reads to a reference and visualize an assembly.

o For long reads, correct raw long reads for further analysis.

o Use BLAST to investigate the contigs.

o Analyze and assemble contigs through Genome Finishing tools.

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.

Shotgun metagenomics taxonomic profiling using QIAGEN CLC Genomics Workbench

Tue, 03 Jun 2025 15:22:01 GMT

The QIAGEN CLC Microbial Genomics Module provides tools and workflows for many bioinformatics applications, including microbiome analysis, isolate characterization, functional metagenomics and antimicrobial resistance characterization. The module supports the analysis of bacterial, viral and eukaryotic (fungal) genomes and metagenomes.

This training focuses on whole shotgun metagenomics taxonomic profiling. Specifically, we’ll cover:

• An overview of the different tools within QIAGEN CLC Microbial Genomics Module and the research areas supported

• Taxonomic profiling

• Importing data

• Utilization of metadata

• Downloading and managing references

• Taxonomic profiling workflow (analytical pipeline)

• Downstream processing of abundance tables

• Creating and exporting high-quality graphics

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

DNA-seq (whole genome, whole exome, DNA-panel) analyses using QIAGEN CLC...

Thu, 24 Apr 2025 15:29:42 GMT

In this training, we’ll go over how to easily perform DNA-seq (specifically whole genome, whole exome, DNA-panel and similar) analyses 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 view

Please bring any questions you may have, and we will answer them during this training.

Isolate Typing, Strain Identification and Antimicrobial Resistance Analyses...

Tue, 22 Apr 2025 08:00:36 GMT

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. II. Focused review of isolate typing and characterization

III. a. How to import data

IV. b. Using metadata

V. c. Downloading and managing references, including databases of isolates/resistances/MLST

VI. d. Walkthrough of the "Type a Known Species" workflow and review of details for each isolate

VII. e. Creating SNP profiles to specific reference

VIII. f. Generate a SNP tree for isolate comparison

IX. g. Export tabular and high-quality graphical outputs in wide range of file formats

Workflow construction and customization using QIAGEN CLC Genomics Workbench

Wed, 16 Apr 2025 01:54:25 GMT

Recently we have received some requests from CLC users (as well as CLC RNA-seq certification participants) to go over workflow construction and customization using CLC Genomics Workbench. Accordingly, we are hosting this training. The term workflow refers to bioinformatics secondary analysis pipelines such as DNA-seq, RNA-seq, OTU clustering, de novo assembly and more offered by CLC Genomics Workbench.

In this training, the trainer will go over

• The basics of workflow construction

• How to visualize different steps of the workflow and customize different settings

• How to edit workflows (add/remove steps, lock/unlock parameters and more)

• How to share workflows

• How to install workflows

• Other workflow related topics

Overlaying Expression Data onto UMAP Plots using the Single Cell Analysis...

Thu, 03 Apr 2025 12:50:28 GMT

In this video, we show how to color cells based on the expression of genes of interest in a UMAP. We also demonstrate how to examine expression values from the plot in a selected group of cells.

Recent training webinar and tutorial that includes UMAP plot generation from single-cell data:

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

Tutorial: Perform Single-Cell RNA Expression and Velocity Analysis

Finding the Perfect CLC Tool for your Workflow

Thu, 03 Apr 2025 12:49:05 GMT

Here are some quick tips on locating tools in CLC Genomics Workbench version 25+

Visualizing Spatial Transcriptomics Data in CLC Genomics Workbench

Thu, 03 Apr 2025 12:47:47 GMT

How to import and visualize spatial transcriptomics data in CLC

Installing CLC Network License manager and Downloading Network Licenses on...

Thu, 03 Apr 2025 12:46:31 GMT

How to install the CLC network license manager, network licenses, and CLC Genomics Workbench on Windows

Convenient Way To Launch Analysis Tools from UMAP Plots in the Single Cell...

Thu, 03 Apr 2025 12:45:27 GMT

In this video, we demonstrate the different tools that can be launched directly from the UMAP plot with a simple right-click.

Recent training webinar and tutorial that includes UMAP plot generation from single-cell data:

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

Tutorial: Perform Single-Cell RNA Expression and Velocity Analysis

Importing Single Cell Data into CLC Genomics Workbench

Thu, 03 Apr 2025 12:44:12 GMT

Single cell expression matrices can be imported into CLC manually using the import single cell matrix tool or they can be imported automatically using workflows. https://resources.qiagenbioinformatics.com/manuals/clcsinglecellanalysis/current/index.php?manual=Import_Expression_Matrix.html

Precise Workflow Path Control using Branching Elements

Thu, 03 Apr 2025 12:42:35 GMT

Direct outputs through a workflow based on sequence count, coverage, and sample quality using branching elements https://resources.qiagenbioinformatics.com/manuals/clcgenomicsworkbench/current/index.php?manual=Branching_elements.html

Wrapping external applications into QIAGEN CLC Genomics Workbench

Thu, 27 Mar 2025 09:48:58 GMT

QIAGEN’s CLC bioinformatics software portfolio provides user-friendly and intuitive solutions that run on any platform. This helps scientists to focus on the biology of their research without requiring them to write code, or compile and run software from the command line.

At QIAGEN we understand, however, that no single piece of software can meet the needs of every bioinformatics challenge. Sometimes, you need to supplement standard pipelines with your own scripts, open-source tools or third party applications from the command-line.

Accordingly, this training will go over:

• A quick introduction to CLC Genomics Workbench

• Wrapping an external application into the CLC environment

• Running external application alongside CLC tools and exporting results.

RNA-seq data analysis using QIAGEN CLC Genomics Workbench

Tue, 25 Mar 2025 12:35:35 GMT

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

Per audience request

• Send differential expression tables to QIAGEN Ingenuity Pathway Analysis directly from QIAGEN CLC Genomics Workbench to analyze and interpret relevant pathways

Analysis of microbial communities for biotransformation, biodegradation and...

Tue, 25 Mar 2025 11:01:07 GMT

Geomicrobiology and petroleum microbiology are important fields that study how microbes interact with geological, geochemical, and petroleum processes. Understanding the composition of microbial communities can advance our knowledge of biotransformation, biodegradation, and bioremediation in industries such as environmental engineering, mining, and oil and gas.

QIAGEN CLC Genomics Workbench and the Microbial Genomics Module provide tools and workflows for a broad range of bioinformatics applications, including microbiome analysis, isolate characterization, and functional metagenomics. This webinar will focus on amplicon-based taxonomic profiling (16S/18S/ITS sequencing OTU clustering) using data collected from oil reservoirs. Specifically, the trainer will be:

• Highlighting different tools within the MGM application and research areas supported

• For taxonomic profiling:

o Importing data

o Utilizing metadata

o Downloading and managing references

o Launching the OTU clustering workflow (analytical pipeline)

• Downstream processing of abundance tables

• Creating and exporting high-quality graphics

Long reads analysis with QIAGEN CLC Genomics Workbench

Tue, 25 Feb 2025 20:59:02 GMT

Workflow construction and customization using QIAGEN CLC Genomics Workbench

Thu, 13 Feb 2025 16:06:53 GMT

In this training, the trainer will go over

• The basics of workflow construction

• How to visualize different steps of the workflow and customize different settings

• How to edit workflows (add/remove steps, lock/unlock parameters and more)

• How to share workflows

• How to install workflows

• Other workflow related topics

What's new in QIAGEN CLC Genomics version 25

Sun, 26 Jan 2025 23:17:36 GMT

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

Thu, 23 Jan 2025 13:42:27 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.

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.

Sanger sequencing, alignment, cloning, primer design and more using QIAGEN...

Thu, 23 Jan 2025 12:52:40 GMT

This training will be relevant to both QIAGEN Main and Genomics workbench users and prospects who are interested in below analytics.

• Alignment and tree construction

• Sanger sequencing analysis

• Cloning and primer design

• Other molecular biology tools

What’s new in QIAGEN CLC Genomics Workbench version 23

Fri, 03 Feb 2023 04:39:22 GMT

QIAGEN CLC Genomics Workbench version 23 is here with exciting updates we'd like to share with you. These include:

Our new QIAGEN CLC LightSpeed Module which provides the world’s fastest and cheapest whole genome sequencing (WGS) and (WES) analyses
Our new and improved QIAGEN CLC Cloud Module which provides direct access to your AWS S3 files and frees up your local workbench resources
New capabilities in QIAGEN CLC Microbial Genomics Module
New analyses in QIAGEN CLC Single Cell Analysis Module
New cloning tools
And many more new and improved workflow capabilities

Human-certified ‘omics data to power drug discovery

Thu, 24 Feb 2022 17:02:21 GMT

Integrating external and internal ‘omics data is a key element of hypothesis generation, target identification, and biomarker prioritization when it comes to drug discovery. It is never as straightforward as it seems and usually costs more, takes more time than anticipated, often with poor results. In this talk, Joseph Pearson, PhD, from QIAGEN Digital Insights will discuss approaches and resources to overcome these obstacles and improve outcomes.

Participants will learn:
• Where automated curation approaches can leave you short
• Why data scientists spend most of their time not doing data science
• Where bioinformaticians and data scientist spend most of their time
• What is required of high-quality ‘omics data
• Example of high-quality TCGA data
• How to extend these practices to internal data structures

To learn more visit: https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/qiagen-omicsoft