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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.

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.

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.

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.

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.