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).