Violin plot

Release 3.9 - faster, new violin plot and more plot options

Even clearer visualization in the 3D PCA plots by combining symbols and colors  .
 

Optimizing statistics and saving time with faster and built-in nonparametric statistical tests.
 

Simplify reporting and publication  with the new Violin-plot and extensive plot options updates.

Symbols in 2D and 3D plots

Visualize multiple annotations at the same time both in 2D and 3D plots such as PCA using a combination of colors and symbols.

Benefit: Makes it possible to show two different sample annotations in the same plot.  

New inbuilt statistical tests

  • Welch 
  • Kruskal-Wallis 
  • Mann-Whitney 

Benefits: Fast built-in Welch and nonparametric tests. Welch for data with uneven distribution of variance or large differences in sample sizes. Non-parametric tests for data with unknown distribution. Typically, when data is not expected to have a normal distribution. Compared to the R-based solution in version 3.8 the new version is 900 times faster.

Line plot update

  • Averaging in Line plot (whiskers) has been added, controlled from a Computations section in the Options tab. 
  • Show data points are now default. New configuration setting available in Options tab. 

Benefit: More options to easier and faster create publication ready plots.

Box plot update

  • Show mean and median lines in plot. 
  • p-value formatting for significance calculation. Choose between Fixed, Scientific and Asterisks. 

Benefit: More options to easier and faster create publication ready plots.  

Bar plot update

  • Various fixes for improved automatic layout 
  • Improved default settings. 

Benefit: More options to easier and faster create publication ready plots.  

New Violin plot

  • Show Violins, show individual samples in the violins 
  • More options for formatting p-values. Choose between Fixed, Scientific and Asterisks. 
  • Flexibility in axis selections 

Benefits: Visualize the distribution of samples in a group. Shows how the distribution varies between groups. A complement to the Box plot. More options to easier and faster create publication ready plots.

More updates

  • Improved single cell performance 
  • Improved scales for plot colors (centering) 
  • Add import wizard option for count data: all gene lengths equal to 1. 
  • Automatically select the active list when creating a new dataset or a non-synchronized plot. 

Qlucore Omics Explorer 3.9 feature overview

Qlucore Omics Explorer (QOE) is developed to enable fast, easy-to use and visual analysis of 
measured data from a very wide range of sources and instruments transforming data into 
insights considering publicly available information such as TCGA data, gene ontologies, 
pathways and other system biology information to maximize the results and impact.

Qlucore Omics Explorer 3.9 NGS Module feature overview

Qlucore Omics Explorer (QOE) supports the user with fast, simple and visual analysis of 
measured data. The NGS Module is an add-on module that will enable additional functionality 
related to data generated with NGS technologies and will make it possible to interactively and 
dynamically analyze and explore NGS data both from DNA and RNA.