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Title
Content

Qlucore Omics Explorer 3.0 IS released

 

Whether you need to analyze your digital gene expression (RNA-seq) data or to compare your experiment outcomes with published data, Qlucore Omics Explorer 3.0, with its new integrated tools, is the answer!

 

The new version supports direct import and normalization of RNA-seq data (aligned BAM files) which will make it easier to analyze digital gene expression data.

 

With the integrated Gene Set Enrichment Analysis workbench (GSEA) and the Gene Ontology (GO) browser, your experiments can be compared instantly with already published information and results which will save you a lot of time and hassle. With only a few mouse clicks, you can create your own gene sets!

 

To be better able to investigate the biological context, the new variable list interface allows you to work directly with lists created with the GSEA Workbench or the GO browser. For example, all variables in any plot can now be colored according to a list.

 

As it may be tricky to know when a visual representation of a data exploration is optimal, the Qlucore innovation, Projection Score, is now integrated to guide the variance filtering. Simply stop filtering when the projection score is green!

 

For a complete of all new functionality and details see the Qlucore Omics Explorer Feature document below.

Documents

What is new in 3.0?Link 
Qlucore Omics Explorer FeaturesLink 
 How to Import dataLink 
How to find Structure and PatternsLink 
Qlucore Omics Explorer TutorialLink 

VERSION 3.0 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