The Genomics Centre, a core research facility at King's College London, has selected the Qlucore Gene Expression Explorer for advanced data analysis on a wide range of projects.
As a core facility at King's College, the Genomics Centre acts as a central resource for researchers, and also provides access to essential technology and genomics equipment for scientists based at King's College and beyond.
King's College selected Qlucore's bioinformatics application following an in-depth demonstration of the product's data analysis capabilities, followed by a rigorous evaluation period.
With the Qlucore software in place, researchers at the Genomics Centre can expect to shorten analysis time and improve research quality, thanks to the software's ability to provide instant results.
Researchers at the Genomics Centre are currently using the Qlucore software to analyse data produced by a variety of research projects, including a study on the effects of metal exposure and ageing in worms (C.elegans).
Most recently, scientists have used the software with researchers from Nottingham University's Queen's Medical Centre to study the molecular characteristics of different parts of the human eye, based on important data taken from laser-capture microdissected samples.
Because the software allows the user to manipulate and filter all of the data at the same time - while also instantly visualising it in 3D - the researchers at King's College now can analyse their data directly and interactively on the computer screen.
As such, the software is already proving invaluable for unveiling important new discoveries, as it allows actual researchers to study the data and to look for patterns and structures, without needing to be a statistics or computer expert.
Qlucore Gene Expression Explorer enables researchers to analyse and explore extremely large data sets (containing up to more than 100 million data samples) on a regular PC.
The software can also take full advantage of all annotations and other links that are connected with the data being studied, as well as a number of statistical functions such as false discovery rates and p-values.
Qlucore's software can be used to explore many different types of data, including gene expression micro array data, protein array data, miRNA data, and RT-PCR data.
The software can also be used to analyse protein data from 2D gels, image analysis data, and with any data set of multivariate data of sizes up to 1,000 samples and 100,000 variables, or 1,000 variables and 100,000 samples.
