Qlucore
Qlucore is a Swedish Bioinformatics software company founded in early 2007. It started as a collaborative research project at Lund University, Sweden, supported by researchers at the Departments of Mathematics and Clinical Genetics. The objective was to address the vast amount of high-dimensional data generated with microarray gene expression analysis. As a result, it was recognized that an interactive scientific software tool was needed to conceptualize the ideas evolving from the research collaboration.
Founded | 15 January 2007 |
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Founder | Thoas Fioretos, Magnus Fontes, Johan Råde, Carl-Johan Ivarsson |
Headquarters | Lund , Sweden |
Products | Qlucore Omics Explorer |
Website | www |
Since then, a new version of the software has been released approximately every nine months. In 2017, Qlucore took a major step in technology by adding the NGS module including a dynamic and fast Genome browser to enable analysis of data being generated with Next Generation Sequencing (NGS) technologies. Qlucore Omics Explorer is a visualization-based software program that provides exploration and visualization of big data. It enables researchers to analyze and explore large data sets (containing up to more than 100 million data samples) on a regular PC or Mac. Qlucore Omics Explorer customers are mainly from the Life Science, Plant, Food and Biotech industries and from matching academic research areas.
In 2020 one more major step was taken by adding a new product line with Qlucore Diagnostics and Qlucore Insights. Qlucore Insights is for research use only and work is ongoing (2022) to receive regulatory approval (CE) for Qlucore Diagnostics.
In the fall of 2021, Qlucore was listed on NASDAQ First North.
References
- BBC: Read about how Qlucore Omics Explorer is used at King's College in London to analyze gene expression data from worms. http://news.bbc.co.uk/2/hi/technology/8386807.stm
- SP2 Magazine: Read about how Qlucore solution enables new working models for biologists and statisticians. Page 33 and onwards. http://www.labnews.co.uk/laboratory_article.php/4795/5/getting-through-the-data-maze