Qlucore has introduced the Qlucore Gene Expression Explorer, a bioinformatics application that shortens analysis time.
The Qlucore Gene Expression Explorer features 3D graphics, a point-and-click user interface and statistical analysis.
The software provides results up to 100 times faster than similar tools, enabling users to explore different hypotheses and alternative scenarios within seconds.
Qlucore Gene Expression Explorer's user interface displays all data sets in 3D so that researchers can easily visualise them in real-time, directly on the computer screen.
This removes the need for statistics or computer experts.
Qlucore Gene Expression Explorer lets researchers instantly analyse and explore data sets (containing up to 100 million data samples) on a regular PC.
The software takes advantage of all annotations and other links connected with the data being studied.
It uses powerful statistical functions such as false discovery rates (FDR) and p-values.
By using a combination of visualisation and intuitive filters, Qlucore Gene Expression Explorer allows researchers to analyse and explore a variety of data sets.
Its one-click filter selection allows the software to find discriminating variables (genes), subgroups and patterns.
For example, if the data has batch effects - or is paired with unwanted dependencies - these can be removed with just a few mouse clicks, thus allowing the results to be delivered and analysed within seconds.
Qlucore Gene Expression Explorer is currently being used by a number of leading pharmaceutical companies to minimise total project time from data connection to conclusion by providing easy hands-on analysis of data early on in the project.
The software also benefits earlier investments by helping them re-analyse and combine data from earlier studies.
One of the key methods used by Qlucore Gene Expression Explorer to visualise data is dynamic principal component analysis (PCA).
This software can manipulate different PCA-plots - interactively and in real time - directly on the computer screen and can at the same time work with all annotations and other links in a fully integrated way.
Qlucore's customers are currently using the software to analyse gene expression micro array data, protein array data, miRNA data and RT-PCR data.
