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Explore how instant response drives creativity and makes it easier to analyze proteomics data.

The combination of visualization and a "point and click" interface gives you the possibility to explore your data in completely new ways.


Analyze proteomics data

Proteomics is the large-scale study of proteins, particularly their expression and physical properties. Commonly quantitative methods used in proteomics are 2D gel, LC-MS and LC-MS/MS.


Qlucore Omics Explorer lets the researcher freely examine and analyze data from proteomics experiments. For protein analysis, the following functionality will be of specific interest

  • Investigate any structures and subgroups in the data by using variance filtering combined with Principal Component Analysis (PCA).
  • Perform statistical filtering 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.
  • With a few key strokes eliminate CyDye bias and gel to gel batch variability (Eliminated factors).

More information