Book a webinar/training

The webinar will cover reasons why Qlucore uses transcriptomic data for classification, a description of our new lung cancer classifier and its capabilities both for lung cancer classification and identification of tissue of origin of metastases, and a live demonstration of Qlucore Insights. The demonstration will cover the complete process, from data import to a report.

Free online hands-on training. Learn how to easily analyze your experiment data yourself. This is an introduction to how you canbefore and analyze experiment data using a highly visual and interactive tool in several hands-on exercises. You do not need any previous experience with the program. 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.

The combination of standard RNA-seq and Qlucore Insights represents a powerful approach to the exploration of the molecular basis for ALL. In this webinar, we present how this is achieved and what benefits it brings. In addition to describing the process, we will perform a live demo of the software to show how to get from seq data to a report.

Free online hands-on training. Learn how to easily analyze your experiment data yourself. This is an introduction to how you canbefore and analyze experiment data using a highly visual and interactive tool in several hands-on exercises. You do not need any previous experience with the program. Course material and a training license will be sent out prior to the course.

How to use Gene Set Enrichment Analysis (GSEA) to analyze datasets using functional information such as pathways in Qlucore Omics Explorer. The GSEA workbench is fully integrated into Qlucore Omics Explorer and easy to use and with fast ranking of provided pathways (lists of genes), making it ideal for biologists.