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Title
Content

Qlucore Omics Explorer 3.1 IS released

 

In addition to the new functionality presented below we are very pleased to also announce the Mac version of Qlucore Omics Explorer. If you are a Mac user you now have access to all super fast and easy to use functionality in a native Mac environment.

 

Qlucore Omics Explorer 3.1, an exciting release with easy-to-use functionality that helps the user to get access to statistical tests in R without being an expert. The new release of Qlucore Omics Explorer, version 3.1, incorporates further enhancements in Qlucore’s promise regarding openness.

 

Open Application Programming Interface (API) to R

With an interface to R, a language and environment for statistical computing, the inbuilt statistical functions of Qlucore Omics Explorer are extended to include the full suite of statistical methods available in R.

The user can through a script interface not only use existing methods in R but also construct new methods in R.

The user controls the r-scripts through an interface in the statistics dialog, which makes it easy to use since the model is the same as for the in Qlucore Omics Explorer inbuilt methods.

The program is shipped with several  r-scripts supporting tests such as Limma and Wilcoxon.

 

Color scale

The color scale is made more flexible and the user can configure the scale with a centre color.

 

Plot exports

All 2D plots can also be exported in the .tiff format.

The PCA plot coordinates can be exported.

 

 

 

Documents

What is new in 3.1?Link 
Qlucore Omics Explorer FeaturesLink 
 How to Import dataLink 
How to find Structure and PatternsLink 
Qlucore Omics Explorer TutorialLink 

VERSION 3.1 NEWS HOW TO BUY GET THE VISUALISATION GUIDEBOOK WEBINAR

 

PoC HCV      EU flag

This project has received funding from the European Union's Seventh Framework Programme for research, technological development and demonstration under grant agreement no 601851

DATA

Gene expression
Protein array
miRNA
DNA Methylation
Proteomics

 

DISEASE AREA

Cancer
Obesity
Diabetes

 

PERFORMANCE

 

SCREENSHOTS

Screenshots

 

FILE FORMATS

Fileformats

 

GeneChip Compatible