Qlucore Omics Explorer can be used to analyze any medium to high dimensional multivariate data.

Analysis of data from many sources

Qlucore Omics Explorer is used to analyze data originating from a broad range of sources. Some examples from the life science industry, in addition to data listed in other sections, are metabolomics, immunology, general biomarker, production process and clinical data. Examples from other industries are data from images, mining data, language related data, organizational efficiency data and financial data.

Easy data import

Qlucore Omics Explorer supports many data file formats. Import can be done in several ways, with or without normalization. 

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Case studies

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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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 case study

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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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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