Meet OmicSoft Explorer, a new feature included with your QIAGEN IPA/OmicSoft subscriptions. See how you can find ‘omics datasets to inform your next experiments or support your grant proposals.

With OmicSoft Explorer, you can:

• Search over 10,000 disease-relevant datasets for clinical, in vitro, normal tissue and more
• Reveal top differentially expressed genes from over 200,000 experiments
• Discover experiments that include your gene of interest
• Explore underlying biology through IPA Interpret

Unlock actionable insights in your biological data by streamlining your data interpretation with IPA Interpret.

The newest feature of your trusted pathway analysis software, QIAGEN IPA, includes:

• Content powered by IPA's extensive, manually curated knowledge base and aided by AI
• Easy-to-share reports and updated visualizations to facilitate collaboration and dissemination of research findings
• Easy access from your favorite web browser, no additional software or hardware needed

An exclusive hands-on workshop to try QCI Interpret for Oncology

For US-based labs interested in learning more about QCI Interpret for Oncology, QIAGEN’s clinical decision support software for variant interpretation and reporting, we are hosting an exclusive, interactive virtual workshop where you can access and demo the software for free. Each attendee will be given a temporary license and a VCF file to run a case on the industry-leading software. Through a guided session, you will be able to see first-hand how QCI Interpret works, with full exploration of the software’s capabilities and features.

In this workshop, you will see how QCI Interpret:

• Dynamically computes pathogenicity and actionability based on the ACMG and AMP/ASCO/CAP guidelines for every variant in all cancer types with full transparency.

• Provides access to over 500,000 pre-formulated, oncologist-reviewed variant interpretation summaries to build customizable, oncologist-ready reports.

• Effortlessly streamlines case reviews by automatically selecting reportable variants, along with tailored treatments and trials.

Only 40 spots available. Must apply by October 25, 2024.

This workshop is an exclusive event limited to a select number of participants. To register, you must provide a work email and be selected by QIAGEN to attend. The workshop will be hosted on a US server and no customer data will be involved.

Learn more and register here.

While there is great interest in the scientific community to investigate drug targets and biomarkers from public immune-oncology data, such investigation is hindered by the difficulty in finding and combining related datasets to perform large-scale meta-analyses. This webinar will focus on how high-quality curated genomic repositories such as QIAGEN OmicSoft Lands immediately allows in-depth investigations across diverse data sources (GEO, CPTAC, TCGA, GTEx and more) to discover and validate candidate checkpoint inhibitor drug targets and biomarkers.

You will learn how to do the following in the graphical user interface and through APIs:

• Easily identify relevant samples using extensive manually curated clinical metadata
• Visualize and identify checkpoint inhibition biology-related drug target and biomarkers expression patterns using expression data (RNA-seq, scRNA-seq, proteomics etc.)
• Reveal how the expression of a group of biomarkers (or genes/proteins of interest) correlates in normal and disease tissue

Learn how to leverage solutions from QIAGEN Digital Insights to discover biomarkers, validate targets, and identify variants.

Attendees will learn to:

• Locate public studies of interest using OmicSoft DiseaseLand
• Investigate expression of genes of interest across different treatments, disease states, etc.
• Identify variants of interest for candidate biomarkers and targets using Human Gene Mutation Database (HGMD)
• Leverage the QIAGEN Knowledgebase in Ingenuity Pathway Analysis (IPA) to explore and extend findings from OmicSoft DiseaseLand and HGMD
• Access data from OmicSoft, HGMD and IPA in ways that are helpful for data scientists

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 how to:

• Download and install needed plugins
• Import data required for the analysis
• Perform long read de novo assembly
• Map reads to a reference and visualize an assembly
• Use BLAST to investigate the contigs
• Use additional long read tools: polish with short reads, structural variant calling
• Use genome finishing tools: analyze and assemble contigs
• Use analytical tools: RNA-seq analysis for long reads, classify long read amplicons for metagenomics

Get to know the RNA-seq Analysis Portal, a cloud-based platform you can access from within QIAGEN Ingenuity Pathway Analysis (IPA) that 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.

In this training you will learn how to:

• Upload your own expression data (example raw FASTQ files) or start with a public dataset
• Perform RNA-seq analysis and generate outputs such as heatmap, differential expression table, volcano plot and more
• Export graphical and tabular results

Learn more about the IPA RNA-seq Analysis Portal.

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.

Learn more about IPA or request a free trial.