Qlucore Omics Explorer is based on visualization. Using interactive heatmaps, PCA, Violin, t-SNE, UMAP and many other 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.
Plots and visualizations
A few examples on available visualization. Click for full size.
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
Violin, Box, Bar, Line and Histogram plots
Kaplan-Meier plots for survival analysis
Venn diagrams and Pie charts. Sample and variable Scatter as well as Volcano plots
Talus and Scree plots for dimensionality estimation
The NGS module adds a dynamic, flexible and fast Genome browser to the suite of plots. It also includes a Gene Fusion Workbench and gene fusions can be visualized both in the genome browser to examine the full sequence and with 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
You can visualize multiple annotations at the same time both in 2D and 3D plots such as PCA using a combination of colors and symbols. That makes it possible to show two different sample annotations in the same plot.
Read about all features in Qlucore Omics Explorer.