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Qlucore and Nebion collaboration will benefit researchers

April 16, 2014

2014 will see Qlucore and Nebion AG working together to promote their two products Qlucore Omics Explorer and Genevestigator. These two platforms together offer an excellent combination by addressing complementary use cases.

, UK - Apr 16, 2014 - Qlucore and Nebion collaboration will benefit researchers
 
2014 will see Qlucore and Nebion AG working together to promote their two products Qlucore Omics Explorer and Genevestigator. These two platforms together offer an excellent combination by addressing complementary use cases.
 
Qlucore Omics Explorer is a next-generation bioinformatics software program which is extremely fast and allows the user to explore and analyse high-dimensional data sets interactively and in real time. Qlucore Omics Explorer has proved to be hugely beneficial to researchers in the life science and biotech industries when it comes to analysing big data.
 
Nebion creates innovative systems to extract high value information from the world's genomic data for biotechnology and personalized medicine. Its Genevestigator is a high-performance Web platform which deeply integrates expression data and curated sample annotations. This allows systematic screening of the database for genes that have unique expression properties and validation of target and biomarker genes by checking how they respond to thousands of experimental conditions.
 
"Nebion complements the Qlucore product offering perfectly by enabling a web based systematic screening of genes across many thousand experiments, so it makes perfect sense to work together to provide a broader solution to our clients. We're excited to be jointly promoting our complementary solutions to help researchers get better results, quickly," says Carl-Johan Ivarsson, CEO Qlucore.
 
Speaking on the new relationship between the two companies, Dr Philip Zimmermann, CEO Nebion commented, "I got to know Qlucore Omics Explorer a few years ago and I have become convinced that it's one of the best tools to find patterns in data and for biomarker discovery. It is very user-friendly but at the same time statistically robust."