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Projection score gives you the best visualization yet
Visualization and especially principal component analysis (PCA) are easy to use and powerful tools to detect structure and patterns in multidimensiona...
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RNA-seq data - now as easy as arrays
In recent years, transcriptomic profiling via next generation sequencing (RNA-seq) has emerged as both a technical and cost-effective alternative to a...
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Qlucore and Nebion collaboration benefits scientists
In Qlucore Omics Explorer 3.0 there is additional functionality which helps scientists reach beyond the current experiment and explore biological cont...
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"The new functionality in Qlucore Omics Explorer 3.0 has really made my data analysis easier"
Ann-Sofie Albrekt, PhD, Lund, University, Sweden Users of the new version 3.0 tell us that the new functionality is helping them in many ways.
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Scientists fighting to reduce dependence on chemical fungicides
Scientists at the Institution of Plant Protection Biology within the Swedish University of Agricultural Sciences, have been researching into how to re...
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New Video Tutorial Out Today
Today, a new video tutorial with focus on the new functionality in Qlucore Omics Explorer 3.0 was launched.
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Analyze biological findings with integrated GSEA workbench
There are many ways to analyze the outcome of an experiment in a biological context.
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Qlucore and Nebion collaboration will benefit researchers
The start of 2014 will see Qlucore and Nebion AG working together to promote their two products Qlucore Omics Explorer and Genevestigator.
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Latest release of Qlucore software helps researchers reach beyond the current experiment
Omics Explorer 3.0 features new integrated tools which combine measured data with system biology to enable easier, faster and more creative analysis
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Qlucore Omics Explorer 3.0 is available!
Whether you need to analyze your digital gene expression (RNA-seq) data or to compare your experiment outcomes with published data, Qlucore Omics Expl...
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Qlucore announces aid to better visualisations of large data sets
New traffic-light Qlucore Projection Score indicates the usefulness of a Principal Component Analysis (PCA) representation
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Expand analysis into new types of data
New problems and challenges may require a new approach. One option is to combine data from multiple technologies and experiments.