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Qlucore Newsletter: Together we are shaping the future of research
Publishing in high-impact journals Qlucore Omics Explorer, has been central to numerous client studies and is making a significant impact.
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Newsletter: Simpler and quicker visual NGS data analysis
Visualization and interactivity for faster insightsDeeper analysis of RNA-seq and other NGS generated data can be challenging if you are not a bioinfo...
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Newsletter: Transcriptomics in clinical settings expands rapidly
A wave moving forward The use of molecular diagnostics and transcriptomics for improved diagnostics is increasing rapidly.
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Newsletter: Complete data analysis with less resources – special offer
Achieve more with unique speed and flexibility
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Qlucore Newsletter: Machine learning at your fingertips
One click machine learning since 2016With Qlucore Omics Explorer (QOE) you can without programming skills, test and build machine learning classifiers...
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Qlucore Newsletter: Pre-configured software solutions for Companion Diagnostics
Solutions and product line for fast and easy CDx implementation Move faster towards implementing companion diagnostics with Qlucore
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Qlucore newsletter: Accelerate cancer subtyping in precision medicine
New version of Qlucore Insights with four cancer models now available.
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Qlucore Newsletter: Up to 2800 times faster
Use fantastic spe.d to boost your findings and scientific creativity with Qlucore Omics Explorer
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Qlucore newsletter: Improved testing available for childhood leukemia
Improved classification techniques, using whole transcriptomics and detection of samples from the DUX4-rearrangements and ETV6:RUNX1-like subtype, can...
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Qlucore Newsletter: Analyze your qPCR data in Qlucore Omics Explorer
Don’t risk missing new discoveries in your valuable qPCR datasets.
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Newsletter: It always starts with a plot!
Easily and quickly create any of 15 different types of plots to make new discoveries or visualize your findings.
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Newsletter: Identify the origins of metastatis in lung cancer
The first generation of Qlucore’s lung cancer model is able to identify if the sample content is malignant or not, and if it is from a primary lung tu...