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.
Plots and visualizations
A few examples on available visualization. Click for full size.
Qlucore Omics Explorer is based on visualization. Using interactive heatmaps, PCA, t-SNE and UMAP plots while analyzing gives an excellent overview of data and you easily detect signals and patterns that lead to new findings and results. Confirmation is done by e.g the inbuilt statistical tests or cross validation.
The base module supports many different plot types that can be configured extensively based on needs and preferences:
- Sample and variable 3D PCA plots
- Heatmaps with hierarchical clustering
- t-SNE and UMAP plots
- Sample and variable Scatter as well as Volcano plots
- Talus and Scree plots for dimensionality estimation
- Box, Bar and Histogram plots
- Line, Kaplan-Meier plots for survival analysis and Venn Diagrams and Pie charts.
The NGS module adds a dynamic, flexible and fast Genome browser to the suite of plots. It also includes a Gene Fusion Workbench with visualizations in Circle plots.
You can work interactively with any number of active plots from one or multiple data sets.
When you make any changes to selections and/or filters, the result is immediately displayed in all open plots. This makes it easier to visualize several aspects of data simultaneously, the plots can be enhanced by using colors, symbols, labels and networks.
Read about all features in Qlucore Omics Explorer.