Other

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.

Does it work on my data?

Answer the four quick questions below and find out if you can use Qlucore on your data. 

For more details about supported data formats and data import see Data Import or Contact us with questions.

Case studies

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.

Read more

Analysis of proteomics data using Qlucore

The Center for Interdisciplinary Cardiovascular Sciences, Boston, US

Using proteomics to understand cardiovascular disease

Read more
RNA-seq case study

RNA-Seq analysis using Qlucore

Stanford University, US

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

Read more

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.

Read more

Get started now with a free 10 days trial of Qlucore Omics Explorer!

Start here