Qlucore, a leader in the development of bioinformatics software, has announced that it is continuing to expand its team with a new Chairman, a new Board member and two new recruits.
The newly-elected Chairman is Gunnar Hesse, previously CEO for the Nordic sector of Unisys. The new Board member is Charlotte Edenius who has extensive experience with both small and large pharmaceutical companies such as AstraZeneca and Orexo, and the new recruits join the Marketing and Development teams.
Gunnar Hesse has a wealth of international experience from the IT industry, offering an extensive knowledge of software sales and related services in his new role at Qlucore. He and Charlotte Edenius will be working closely with the Managing Board of Qlucore, run by Pia Gideon, ex Vice President of Marketing and Communications at Ericsson, Pär Åström and Qlucore’s Founders.
Charlotte Edenius’ previous experience lies in Clinical and Medical Research Management. Her contribution to the Board includes her recent experience at the Swedish Pharmaceutical company Orexo, where Charlotte was the Senior Vice President as well as the Chief Scientific Officer.
“We are very pleased to announce that Gunnar Hesse and Charlotte Edenius have joined the Qlucore Board,” said Thoas Fioretos, co-Founder of Qlucore. “Qlucore will continue to be recognised as a leading supplier of software for interactive analysis of large data amounts in the pharmaceutical industry.”
Qlucore develops software which analyses large sets of data, and visualises complicated structures in 3D directly on a computer screen – an extremely valuable tool for scientists, physicans and others working with large amounts of data. For example, this software can enable new statistical relationships to be found between large groups of cancer patients data at an earlier stage, enhancing the research progress radically.
“Qlucore has fantastic solutions for an expansive market segment,” said Gunnar Hesse, new Chairman of Qlucore. “I’m looking forward to working closely with the Board and President to develop the Company towards sustained and profitable growth.”
As well as a new Chairman and new Board member, this autumn also sees the Marketing and Development teams being expanded. Two new recruits have been appointed to help meet the increasing demand for the analysis software, Qlucore Omics Explorer.
Qlucore started as a collaborative research project at Lund University, Sweden, supported by researchers at the Departments of Mathematics and Clinical Genetics, in order to address the vast amount of high-dimensional data generated with microarray gene expression analysis. As a result, it was recognised that an interactive scientific software tool was needed to conceptualise the ideas evolving from the research collaboration.
The basic concept behind the software is to provide a tool that can take full advantage of the most powerful pattern recogniser that exists - the human brain. The result is a core software engine that visualises the data in 3D and will aid the user in identifying hidden structures and patterns. Over the last two years the major efforts have been to optimise the early ideas and to develop a core software engine that is extremely fast, allowing the user to interactively and in real time instantly explore and analyse high-dimensional data sets with the use of a normal PC.
Qlucore was founded in early 2007 and the first product released was the “Qlucore Gene Expression Explorer 1.0”. The latest version of this software, Version1.1, represents a major step forward with the advanced statistics support. All user action is at most two mouse clicks away. The Company's early customers are mainly from the Life-science and Biotech industries, but solutions for other industries are currently under development.
One of the key methods used by Qlucore Gene Expression Explorer to visualise data is dynamic principal component analysis (PCA), an innovative way of combining PCA analysis with immediate user interaction. Dynamic PCA is PCA analysis combined with instant user response, a combination which provides an optimal way for users to visualise and analyse a large dataset by presenting a comprehensive view of the data set at the same time, since the user is given full freedom to explore all possible versions of the presented view.
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. With Qlucore Gene Expression Explorer, data is projected and plotted on the two dimensional computer screen and then rotated manually or automatically and examined by the naked eye.
Qlucore
