Qlucore Omics Explorer is a fast, visual and versatile data analysis software that allows scientists to analyze and explore large data sets on a normal PC or MAC.
With the combination of fast algorithms, best in class visualizations and an easy to use point and click user interface, bioinformatics data analysis with Qlucore saves time, generates quality results and can be used by both biologists and bioinformaticians/statisticians.
Qlucore Omics Explorer is used by scientists and corporations in over 25 countries to facilitate data analysis and interpretation. 6 out of the 10 top universities in the US use the software as well as 3 out of the 5 top pharma companies.
The program allows the user to get months of work done in just a few hours by, for instance, rapidly obtaining a list of candidate variables (genes, proteins, metabolites,…) applying easy to use statistical methods and quickly generate publication ready results, such as PCA, heatmap, box, bar,genome,and scatter plots.
The user is always in full control of the process, and can test many different ideas in a short time. The continuous overview, instant visualization and interaction with the data makes interpretation simple and accessible as well as it is easy to share and communicate results.
With Qlucore Omics Explorer you can also expand your analysis by using integrated tools such as GSEA an GO Browser. The software works on many types of data and you can quickly analyze and explore data sets such as:
Gene expression: microarrays, RNA-seq, real-time PCR
NGS, DNA-seq, RNA-seq
MicroRNA: microarrays, RNA-seq, real-time PCR
DNA methylation: microarrays
Protein expression: microarrays, antibody arrays, 2-D gels, LC-MS
Flow cytometry data
and any normalized multivariate data
The data analysis software takes full advantage of all annotations and other links that are connected with the data being studied, as well as a number of advanced statistical functions such as false discovery rates (FDR), f-tests, ANOVA and p-values.
One of the key methods used by Qlucore Omics Explorer to visualize data is the dynamic principal component analysis (PCA), an innovative way of combining PCA analysis with immediate user interaction. PCA analysis works by projecting high dimensional data down to lower dimensions. The specific projections of the high-dimensional data are chosen in order to maintain as much variance as possible in the projected data set. Data is projected and plotted on the two-dimensional computer screen and then rotated manually or automatically.
Download a trial version today at www.qlucore.com.