Case studies
At Yale School of Medicine researchers working with datasets use Qlucore
Supporting researchers working with large complex datasets of proteins, genes and metabolites
Yale School of Public Health, Yale School of Medicine
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Analyzing proteomics and transcriptomics data
Study of hundreds of entries about pollutants and nutrients in different fish species, showing how levels are changing over time.
National Institute of Nutrition and Seafood Research (NIFES), Norway
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Using Qlucore in epigenetics research studies
A range of samples including DNA from patient blood, primary tissue from tumors, and cell lines, are studied.
Cancer Genetics Program at the Hospital for Sick Children (SickKids) in Toronto, Canada.
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Qlucore analysis of transcriptomic data
The study includes working with data from more than 400 arrays. Visualization is used in the effort to understand the human growth process.
University of Manchester, UK
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Interpreting Leukemia proteomics with Qlucore
In this case study Qlucore Omics Explorer is used to generate new ideas and hypotheses through exploration and analysis of proteomics data.
UT MD Anderson Cancer Center in Houston, Texas, US
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Analysis of public data using Qlucore
This case study is an example of how the use of public information from multiple sources was used to propose a new classification for glioma cancer.
Beijing Normal University, China
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Protein data analysis in Hepatitis studies
Understanding viral signatures in Hepatitis C. Qlucore Omics Explorer is used to identify differences in chemokines between the virally infected groups.
Institute Pasteur, France
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Analysis of proteomics data using Qlucore
Using proteomics to understand cardiovascular disease
The Center for Interdisciplinary Cardiovascular Sciences, Boston, US
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RNA-Seq analysis using Qlucore
Performing gene expression analysis based on RNA sequencing data, in Dilated Cardiomyopathy studies.
Stanford University, US
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