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"With Qlucore we have been able to visualize and rapidly explore microarray data collected from 2 years research in less than a few hours."
Carl Borrebaeck, Professor, Lund University, Sweden

PROTEIN ARRAY

Protein arrays are established as 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.

 

Key functionality

With Qlucore Omics Explorer the researcher can examine and analyze data from protein array experiments. The following functionality will be of specific interest:

  • 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.
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