Qlucore AB software

The combination of powerful statistics and instant visualization drives exciting results. Flexibility and expansion are cornerstones. Analyze data using an easy to use statistical model. Integrate and extend the analysis with Python based Templates for scripting. Add statistical methods through the Open API to R. Filter on genomic entities such as read coverage and variants with the NGS module. Use the GSEA workbench, the kmeans++ clustering or generate  machine learning based classifiers.

Instant exploration is one of the key features in Qlucore Omics Explorer. As a user, you decide your own workflow and starting point. You are in control and can tailor the exploration to meet your specific needs.

Visualization is central in making it easy to understand data. By combining instant visualization with powerful statistics and flexible selection methods, you will be able to see your results immediately.