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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.

Learn how Qlucore Inisghts help to classify lung biopsies into lung cancer sub classes as well as secondary lung cancers and their tissue of origin. The whole process takes a few minutes and we will demonstrate it live from RNAseq data to a report that includes classifiaction as well as all gene fusions present in the sample. Qlucore Insights is Research Use Only (RUO).

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.

Multi-omics data analysis approaches are becoming increasingly popular, providing a better understanding of the system under study. In this webinar, we will combine transcriptomics and proteomics data and demonstrate how you can quickly identify correlations between genes and proteins. The results will be visualized in several different plots.

This webinar gives a hands on demonstration of how to set up your bioinformatics tools to prepare your RNAseq data for analysis in Qlucore Insights.

This webinar is an introduction to Qlucore Diagnostics BCP-ALL. This is a CE-marked IVDR software offering RNA-seq based cancer diagnostics. It includes both gene expression subtype classification of B-cell leukemias and gene fusion analysis support.

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 importance of precision classification of tumors is rising sharply in pace with the availability of more and more directed therapies.

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.

This webinar showcases Qlucore Insights and its advanced lung cancer analysis capabilities. Our platform utilizes gene expression profiles to subclassify lung tumors with high accuracy. We will demonstrate how Qlucore Insights detects both known and novel gene fusions as well as tissue of origin for metastases in the lung. See how our tool translates complex genomic data into actionable results.