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"Not only was the software highly interactive, but it could also be easily understood by biologists, even if they had little or no previous knowledge of bioinformatics."

Dr Kulkarni, Division of Ophthalmology and Visual Sciences at Queen’s Medical Centre (QMC), University of Nottingham, UK

PROTEOMICS

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

Key functionality

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).
Work with Variable PCA plots to find correlation and networks among selected proteins.