Qlucore Omics Explorer allows you to easily generate Kaplan-Meier plots for instant visualization of survival data.

Qlucore Omics Explorer is a D.I.Y next-generation bioinformatics software for research in life science, plant- and biotech industries, as well as academia. The powerful visualization-based data analysis tool with inbuilt powerful statistics delivers immediate results and provides instant exploration and visualization of big data.

Kaplan-Meier plot


With Qlucore Omics Explorer you have extensive freedom on how to analyze and visualize your data. The Kaplan-Meier plot is one example, and it works in perfect harmony and synchronization with all other plot types, such as heatmap, Venn, PCA, box, bar, genome, and scatter plots. 

It is straightforward to configure plots for a layout that will meet your requirements and those of a potential reviewer.

The Kaplan-Meier plot needs survival data as input and it can also handle censor events. Additional statistical information can be added to the plot, see below:

  • Median: The median survival can be displayed for each sample group in the sample group legend.
  • Log-Rank: In the case of two sample groups, a Log-Rank p-value can be displayed in a separate legend.

Easy Data Import

Qlucore Omics Explorer supports many data file formats. Import can be done in several ways, with or without normalization.