Qlucore began as a collaborative research project at Lund University, Sweden, with researchers in the Departments of Mathematics and Clinical Genetics.
Qlucore From the beginning: the main problem the project faced was the vast amount of high-dimensional data generated by microarray gene expression analysis. As a result, it became clear that an interactive software tool was needed to conceptualize this information.
The basic concept behind the Qlucore software is to provide a tool which can take full advantage of the most powerful pattern recognizer that exists – the human brain. The result is a core software engine that visualizes the data in 3D and which can, therefore, help the user to identify hidden structures and patterns.
Over the last ten years, a major effort has been made to build upon these early ideas and to develop a core software engine which is extremely fast and allows the user to explore and analyze high-dimensional data sets – interactively and in real time – with the use of a normal computer. The generic software engine has a user interface and a user model optimized for fast and easy use which has been developed and for many types of data it now only requires a very limited number of key presses or mouse clicks to generate the first plot with relevant content. In 2017 we took a major new step by adding an NGS module including a dynamic and fast Genome Browser.
Qlucore was founded in early 2007. Since then, a new version of the software has been released approximately every nine months.
Product development at Qlucore is based on the experience and skills of the R&D team as well as on the founders, who have world-class competence within their respective research areas.
Qlucore strives to maintain and further develop close links with academic researchers and has formed a Research Partnership Program (RPP) in which we engage in projects with world-leading academic researchers for mutual benefit.
Should you be interested in participating in Qlucore’s RPP, please contact email@example.com.
Qlucore’s customers are mainly from the Life Science and Biotech industries.