tv.qiagenbioinformatics.com

For your RNA-seq data, you will learn how to:

• Import FASTQ files, cell matrix files and metadata

• Download and/or import reference and annotations files

• Map reads to a reference genome

• Generate gene and transcript counts

• QC reports displaying % mapped reads etc.

• Generate visualizations of results, such as heatmaps, differential expression tables, PCA/PCOA plots, Venn diagrams, Sankey plot and more

• 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

Disease pathogenesis is often context-dependent, specifically on tissue expression profiles within a given disease context. However, tissue expression profile of drug targets or potential targets is often difficult to ascertain.

In this webinar, we will dive deep into the wealth of available deeply curated high quality ‘omics data (RNA-seq, scRNA-seq and more) in the OmicSoft Lands database using APIs to achieve the following:

• Demonstrate how to obtain a disease gene signature of interest.

• Compare the constitutive expression profile of that gene set across different tissues.

• Find tissues with similar expression profiles.

• Generate a hypothesis relating two tissue specific diseases to each other for the purpose of indication expansion.

In today’s session, we’ll explore the major enhancements to the workflow system that greatly improve usability, flexibility, and authoring efficiency. We’ll look at new grouping and branching features that simplify complex workflow design, updated editor tools that make navigation and validation easier, and improvements that streamline adding, managing, and reusing workflow components. We’ll also cover the newly workflow-enabled tools and how workflows can now be installed even when some tools are unavailable – making collaboration and sharing smoother than ever.

• Overview of major workflow system enhancements

• New grouping and branching features for easier design

• Streamlined workflow editor with improved navigation and validation

• Faster, more consistent workflow creation and reuse

• Newly workflow-enabled tools and improved installation flexibility

Are you new to QIAGEN Ingenuity Pathway Analysis (IPA) or interested in expanding your skill set? Join us as we learn more on large dataset analysis and knowledge base queries using QIAGEN IPA.

You’ll learn to:

• Upload multiple dataset types (e.g., RNA-seq, proteomics, metabolomics) and perform interactive core/pathway analysis in IPA

• Learn how to interpret different results, including pathways, key regulators, impact on biological functions/diseases and more

• Compare different experimental conditions (e.g., single-cell clusters, disease types) and identify similarities and contrasts

• Generate a network for hypothesis generation, even without a dataset or experimental design

Already have an IPA license? Install IPA and start using it now:

https://qiagen.showpad.com/share/CBv30blCPKFDUYHRWtAvI

Learn more about IPA or request a free trial:https://digitalinsights.qiagen.com/ipa

In three separate 60-minute trainings, attendees will learn how to use basic expression analysis functionalities in QIAGEN OmicSoft OncoLand, DiseaseLand and OmicSoft Studio. QIAGEN OmicSoft Single Cell Land will also be discussed in OncoLand and DiseaseLand trainings, focusing on public single-cell data.

Day 1: Biomarker

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

As ‘omics datasets grow in size and complexity, automation becomes essential for efficient data interpretation. QIAGEN Ingenuity Pathway Analysis (IPA) is mainly accessed through its desktop client, but it has APIs – powerful tools that enable programmatic access to IPA’s functionalities.

Explore seamless integration of IPA into your bioinformatics pipelines, automate repetitive tasks and scale your pathway analysis across multiple datasets. Whether you are working in drug discovery, toxicology or translational research, IPA’s APIs can help accelerate your insights and improve reproducibility.

· Overview of QIAGEN Ingenuity Pathway Analysis

· Learn how to upload datasets, run core analyses and retrieve results programmatically

· Display a Gene View based on a gene ID

· Show the findings that connect two molecules

· Send a set of genes into IPA to automatically create a pathway

Discovery of new genes implicated in hereditary diseases or cancer progression is challenging and advancing rapidly with an increase in the amount of cohort data to analyze from next generation sequencing (NGS) data to associations between gene variants and diseases, and finally to biological mechanisms of these gene variants. Combining QIAGEN CLC Genomics Workbench, QCII-T, and IPA, scientists can analyze sequencing data obtained from a variety of NGS technologies, 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. Get valuable and reliable insights for your research project and speed up your discoveries by using a streamlined NGS analysis workflow.

In this webinar, attendees will have the opportunity to:

1. Learn how to import whole genome or exome sequencing data into QIAGEN CLC Genomics Workbench and use the ultra-fast LightSpeed Module that delivers end-to-end NGS FASTQ to VCF pipeline;

2. Explore capabilities in QCII-T which can enable scientists to accelerate discoveries from hereditary or tumor cohort analyses to find associations between gene variants and diseases;

3. Learn how to use IPA and its manually curated content among other integrated scientific evidence to uncover novel biological mechanisms underlying these gene variants.

Explore how QIAGEN Ingenuity Pathway Analysis (IPA) can accelerate bioengineering research by powering insights into molecular mechanisms, signaling pathways and gene networks. Whether you are working on synthetic biology, tissue engineering or biomaterials, IPA helps translate ‘omics data into actionable biological understanding. See how you can use IPA to design experiments, interpret complex datasets and uncover novel therapeutic targets.

• Understand how IPA supports transcriptomics, proteomics and metabolomics data interpretation.

• Learn how to identify key regulators, canonical pathways and molecular interactions relevant to bioengineering applications.

• Discover how to predict upstream drivers and downstream effects of gene expression changes.

• See how IPA can guide hypothesis generation and experimental planning.

• Explore real-world applications of IPA in synthetic biology, regenerative medicine and biomaterials development.

Accelerate discovery by transforming how your team collaborates with QIAGEN Ingenuity Pathway Analysis (IPA). You already know that IPA helps scientists rapidly interpret the causal biology behind their data—identifying upstream regulators, pathways, and mechanistic networks with ease. In this 45-minute vision-generating session, we’ll demonstrate how enterprise-level features in IPA can help your organization move from isolated analyses to a connected, insight-driven discovery engine.

Attendees will learn how to:

• Automate data integration using the IPA Upload API to seamlessly send differential expression results and trigger Core Analyses—making IPA a routine part of your analysis pipeline.

• Streamline collaboration with Collaborative Workspaces (CWS), where team members can automatically access shared results without manual coordination.

• Leverage collective knowledge through Analysis Match, which compares new results against your organization’s entire library of analyses—surfacing relevant compounds, disease models, or experimental signatures in seconds.

Whether you're scaling up internal screening efforts or aligning cross-functional teams, this webinar will show how IPA can unify your data and accelerate your path to discovery.