Development of bioinformatics software company Qlucore has appointed Beth Repetti as Sales Manager for the Mid Atlantic area.
Repetti has over 25 years of experience in Life Sciences primarily in sales management and business development.
Commenting on her appointment, Repetti said:
“I hope to help researchers and scientists drastically shorten the time needed to reach new levels of data analysis by introducing them to Qlucore products.”
The US is a fast-growing market for Qlucore; the company has seen a rapid increase in new contracts for its Qlucore Omics Explorer software. In 2014 Qlucore opened an office in New York, to capitalise on the strength of the biotech and pharma industries, as well as universities and government driven research institutes.
Qlucore is a member of the Swedish American Chamber of Commerce, the Swedish-American transatlantic organisation dedicated to the promotion, advancement, and protection of direct commercial relations between the United States and Sweden.
“Beth’s expertise will benefit existing and new clients, and we are delighted that she joins the team,” said Carl-Johan Ivarsson, President of Qlucore.
“This appointment demonstrates Qlucore’s commitment to the US market.”
The company is a member of the Massachusetts Biotechnology Council, an association of more than 600 biotechnology companies, universities, academic institutions and others for advancing research.
About Qlucore
Qlucore started as a collaborative research project at Lund University, Sweden, supported by researchers at the Departments of Mathematics and Clinical Genetics, to address the large amount of high-dimensional data generated with microarray gene expression analysis.
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 lets the user handle and filter data and the same time instantly visualise it in 3D. This will aid the user in identifying hidden structures and patterns.
Over the last four years, efforts have been made to develop a fast core software engine, allowing the user to explore and analyse high-dimensional data sets with the use of a normal PC, interactively and in real time.
The latest version of this software, Qlucore Omics Explorer, offers statistics support, workflows for multiple data types, and a selection of presentation methods. It utilises principal component analysis (PCA) and interactive heat maps and flexible scatter plots.
