Qlucore Omics Explorer – Next Generation Software

Qlucore Omics Explorer is the new generation intuitive bioinformatics software program that brings you immediate results. Using Qlucore Omics Explorer you drastically shorten analysis time and add more creativity to your research, thanks to stunning 3D graphics, point and click user interface and state-of-the-art statistical analysis.

Instant analysis of data

Qlucore Omics Explorer provides immediate response to all user action and allows instant analysis of data. The user can work with data sets with up to 1,000 samples and 500,000 variables (or vice versa) on a regular PC or Mac and is still provided with instant response to all actions.

Analysis software for biologists

Qlucore Omics Explorer is the preferred analysis software for the biologist or scientist with a biological or medical background. Biologists will find the product very easy to use, and will appreciate the ability to analyse data directly. In addition, the Qlucore software will allow them to combine their own biological knowledge with experiment data in order to test a variety of different ideas and communicate results easily.

Bioinformatics software

With its rich functionality and flexibility, Qlucore Omics Explorer is also a valuable data software tool for bioinformatics. By using a powerful statistical model, Qlucore Omics Explorer gives bioinformaticians an instant feeling for the data they are studying. Qlucore Omics Explorer also includes a unique export function where the user can export the exact state of the analysis. This allows for easy communication of results to key research partners such as biologists and other team members in a very efficient way.

Gene expression analysis software

Although Qlucore Omics Explorer was initially used for gene expression analysis, the data analysis software enables the easy import of many types of data. The software is Affymetrix Gene Chip Compatible. Expression values can be combined with annotations.

Qlucore Omics Explorer provides a wide range of methods to analyse gene expression data efficiently. Examples of functionality are variance filtering and Anova with instant visual feedback of the results, as well as Heatmap (with hierarchical clustering), sample principal component analysis (PCA), variable PCA and scatter plots to support instant visual data investigation.

Protein analysis software

Qlucore Omics Explorer is also used for various types of protein array, antibody arrays and proteomics data. A wide range of tools for statistical analysis are available. Examples include t-tests and f-tests based on Anova. The statistical model works with eliminated factors, and the user can compensate for unwanted disturbances with just a few mouse clicks.