Biologic Data Analysis Software

"This valuable analytical tool will contribute to a better understanding of regulatory pathways and help proteomics researchers more rapidly and accurately identify proteins to discriminate between healthy and disease tissue samples and different disease states and tumor types.”

The software employs multivariate analysis and advanced clustering techniques to reveal patterns in protein expression data derived from 2D DIGE experiments. The software employs a data set as the basis for 2D gel analysis. Each set of data, defined as a group of spot maps with correlated protein spots, can be displayed in different ways, depending on the objectives of the study.

The DeCyder EDA is a suitable tool for conducing biologic variance analysis (BVA) and can answer questions such as the following. How many groups or classes exist in a specific data set? Do any of the protein spots demonstrate similar characteristics, implying co-regulation? Are there proteins or protein patterns that appear to be characteristic of a biologic or disease state? Are those specific proteins that might be useful for the development of a noninvasive diagnostic or prognostic test?

The software was specifically designed as a vital element of the Ettan 2D DIGE technology platform. It identifies and accurately matches multiplexed fluorescent images produced from Ettan DIGE gels.




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