Case studies

Read about how customers benefit from our software solutions.

Molecular mechanisms of contaminant exposures in fish

Norway’s National Institute of Nutrition and Seafood Research, Bergen, Norway

Qlucore Insights for diagnostics of pediatric ALL

Rigshospitalet, Copenhagen, Denmark

Instant analysis of immunology data

Institut Pasteur, Paris, France

Analyzing proteomics and transcriptomics data

National Institute of Nutrition and Seafood Research (NIFES), Norway

Study of hundreds of entries about pollutants and nutrients in different fish species, showing how levels are changing over time.

Using Qlucore in epigenetics research studies

Cancer Genetics Program at the Hospital for Sick Children (SickKids) in Toronto, Canada.

A range of samples including DNA from patient blood, primary tissue from tumors, and cell lines, are studied.

Qlucore analysis of transcriptomic data

University of Manchester, UK

The study includes working with data from more than 400 arrays. Visualization is used in the effort to understand the human growth process.

Interpreting Leukemia proteomics with Qlucore

UT MD Anderson Cancer Center in Houston, Texas, US

In this case study Qlucore Omics Explorer is used to generate new ideas and hypotheses through exploration and analysis of proteomics data.

Analysis of public data using Qlucore

Beijing Normal University, China

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.

Protein data analysis in Hepatitis studies

Institute Pasteur, France

Understanding viral signatures in Hepatitis C. Qlucore Omics Explorer is used to identify differences in chemokines between the virally infected groups.

Analysis of proteomics data using Qlucore

The Center for Interdisciplinary Cardiovascular Sciences, Boston, US

Using proteomics to understand cardiovascular disease

RNA-Seq analysis using Qlucore

Stanford University, US

Performing gene expression analysis based on RNA sequencing data, in Dilated Cardiomyopathy studies.