Protein array analysis

Qlucore Omics Explorer is a next-generation bioinformatics software for research in life science, biotech, food and plant industries, as well as academia. The powerful visualization-based data analysis tool with inbuilt powerful statistics delivers immediate results and provides instant exploration and visualization of big data including protein array data.

Protein array analysis software

Protein arrays are established as a powerful means to detect proteins and monitor their expression levels. Protein arrays have become one of the most active areas emerging in biotechnology. The objective behind protein array development is to achieve efficient and sensitive high throughput protein analysis.

With Qlucore Omics Explorer, the researcher can examine and analyze data from protein array experiments.

Key functionality:

Investigate any structures in the data by using variance filtering combined with Principal Component Analysis (PCA) and hierarchical clustering.
Perform statistical tests using ANOVA to enhance results.
Generate a list of proteins that classifies data based on a selection of statistical tests: F-test, t-tests or regression.
Work with Variable PCA plots to find correlation and networks among selected proteins.

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

Analysis of proteomics data using Qlucore

The Center for Interdisciplinary Cardiovascular Sciences, Boston, US

Using proteomics to understand cardiovascular disease

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.