In the last five years, a new microarray platform based on glycans as biomarkers has emerged. The platform is referred to as printed glycan array (PGA), and it has become a contender against the standard DNA and protein microarrays in early detection of cancer, as well as in diagnosis and prognosis of the progression of the cancer after therapy. The purpose of this project is to build software, which enables end-users without programming skills in MATLAB and without its license, in preparing the PGA data before they can be further preprocessed and analyzed. The application called "PGA Data Aggregation" (PGADA) is based on an easy to use graphical user interface (GUI). There are eight steps in processing PGA for each patient and cohort study, starting from laboratory analysis to the final downstream data analysis. This project handles the fifth processing step called "Data Preparation", which includes feature extraction, replicates summarization and data aggregation. The idea is to aggregate files obtained after quantification of different subjects / patients in a cohort study and to create a single comprehensive XLS file convenient for subsequent processing steps. This project has developed two versions of PGADA, one for Windows PC and the other for Mac OS X. The installation shield has also been supplied, which makes it easy to install the application on both platforms.
