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Free online hands-on training. Learn how to easily analyze your experiment data yourself. This is an introduction to how you can explore and analyze experimental data using a highly visual and interactive tool in several hands-on exercises. You will do exercises on visualization of data in PCA plots and Heatmaps, run a statistical test to find discriminating variables, and learn how to explore a dataset to find interesting clusters. You do not need any previous experience with the program. No programming is needed. Course material and a training license will be sent out prior to the course.

Bladder cancer impacts about half a million people each year. Despite advancements, treatment options remain limited. Discover how Qlucore Insights (RUO) can support risk assessment of bladder tumors through expression profiling and gene fusion detection using RNA-seq data from standard lab workflows. This session provides a comprehensive introduction to Qlucore Insights, including a live demonstration of the Bladder Test. Attendees will gain insight into how the solution works, how results are presented, and how it can be integrated into existing laboratory workflows.

In this webinar, we will combine transcriptomics and proteomics data and demonstrate how you can quickly identify correlations between genes and proteins. We will create a correlation matrix and show how you can use the powerful Qlucore Biomarker Workbench to easily calculate correlation values and the significance of the correlation. Multi-omics data analysis approaches enable a better understanding of the system under study.

Free online hands-on training. Learn how to easily analyze your experiment data yourself. This is an introduction to how you can explore and analyze experimental data using a highly visual and interactive tool in several hands-on exercises. You will do exercises on visualization of data in PCA plots and Heatmaps, run a statistical test to find discriminating variables, and learn how to explore a dataset to find interesting clusters. You do not need any previous experience with the program. No programming is needed. Course material and a training license will be sent out prior to the course.

Olink® panels can be used to measure proteins, including biomarkers, and are applied in a wide range of research and clinical contexts. In this webinar, we will guide you through the steps required to begin analyzing Olink data. Qlucore Omics Explorer supports data import from multiple Olink panels. You simply export normalized data from the Olink® software and use the Qlucore Import Wizard to import files - whether organized as a matrix or as vectors (such as NPX Map). From there, it is straightforward to perform the necessary data cleaning and normalizations, preparing your dataset for statistical tests, visualizations, and in-depth analysis.

Gene set enrichment analysis (GSEA) is an excellent method to quickly identify sets of genes such as pathways and other lists of variables that are enriched in a data set. The program provides a flexible framework for using the built in GSEA Workbench and it allows the user to easily select publicly available sets of variables or manually curated pathways, for instance from the Molecular Signature Database. This webinar gives you a short introduction on how to find relevant pathways for your genes and other variables of interest.

In this webinar, we will import a multi-omics dataset in which both methylation and transcriptome data have been measured. We will perform a discriminant analysis to identify differences between groups and conduct both positive and negative correlation analyses to determine which methylation islands are associated with the discriminating RNA transcripts.

Identifying the tissue of origin in lung cancer samples can be both challenging and costly, especially when relying on traditional diagnostic methods. Qlucore Insights (RUO) with the Lung Model offers a new approach by enabling a streamlined FFPE and standard RNA seq–based workflow for classifying samples into 19 clinically relevant subgroups. This powerful tool can support pathologists and researchers in determining the tissue of origin for metastases found in the lung. In addition to tissue of origin classification, the webinar will also introduce the platform’s capabilities for molecular classification and gene fusion detection—key components in modern cancer analysis pipelines. This session provides a comprehensive introduction to Qlucore Insights, including a live demonstration of the Lung Test. Attendees will gain insight into how the solution works, how results are presented, and how it can be integrated into existing laboratory workflows.

RNA-seq analysis has become the dominant for method measuring gene expression. The software supports bulk as well as single cell RNA-seq. In this webinar we will focus on how to analyze bulk RNA-seq data. Import of data as bam-files, raw count as well as normalized count matrices will be covered as well preprocessing of the data after import. Typical workflows involving statistical analysis, visualization and presentation of results in different plot types will be presented.

Free online hands-on training. Learn how to easily analyze your experiment data yourself. This is an introduction to how you can explore and analyze experimental data using a highly visual and interactive tool in several hands-on exercises. You will do exercises on visualization of data in PCA plots and Heatmaps, run a statistical test to find discriminating variables, and learn how to explore a dataset to find interesting clusters. You do not need any previous experience with the program. No programming is needed. Course material and a training license will be sent out prior to the course.

The new Qlucore Diagnostics CE-marked test (IVDR) leverages AI-driven machine learning to expand patient coverage by up to 7% in pediatric leukemia. The Qlucore Diagnostics BCP ALL test provides Gene expression subtype classification as well as Gene fusion analysis support using RNA-seq data from standard lab workflows. This integrated approach enhances diagnostics and supports clinicians in tailoring treatment strategies. This webinar is an introduction to Qlucore Diagnostics BCP-ALL.

Qlucore Omics Explorer supports a multitude of plot types, like 3D PCA, UMAP, Heatmap, t-SNE, Volcano, Violin, Venn, Scatter, Bar, Line, Histogram, Pie Chart, Kaplan Meier etc. In this webinar we will go through several exploration and analysis scenarios, to show how you can easily utilize and configure various plot types to visualize your results.

Bladder cancer impacts about half a million people each year. Despite advancements, treatment options remain limited. Discover how Qlucore Insights (RUO) can support risk assessment of bladder tumors through expression profiling and gene fusion detection using RNA-seq data from standard lab workflows. This session provides a comprehensive introduction to Qlucore Insights, including a live demonstration of the Bladder Test. Attendees will gain insight into how the solution works, how results are presented, and how it can be integrated into existing laboratory workflows.