Qlucore, Nebion Collaborate
News Feb 07, 2014
The start of 2014 will see Qlucore and Nebion AG working together to promote their two products Qlucore Omics Explorer and Genevestigator.
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."
Analytical Tool Predicts Disease-Causing GenesNews
Predicting genes that can cause disease due to the production of truncated or altered proteins that take on a new or different function, rather than those that lose their function, is now possible thanks to an international team of researchers that has developed a new analytical tool to effectively and efficiently predict such candidate genes.
‘Good Cholesterol’ May Not Always be Good for Postmenopausal WomenNews
Postmenopausal factors may have an impact on the heart-protective qualities of high-density lipoproteins (HDL) – also known as ‘good cholesterol’ – according to a study led by researchers in the University of Pittsburgh Graduate School of Public Health.READ MORE
Researchers Move Closer to Completely Optical Artificial Neural NetworkNews
Researchers have shown that it is possible to train artificial neural networks directly on an optical chip. The significant breakthrough demonstrates that an optical circuit can perform a critical function of an electronics-based artificial neural network and could lead to less expensive, faster and more energy efficient ways to perform complex tasks such as speech or image recognition.