Architectural challenges of genotype-phenotype data management

Abstract

Medical research initiatives more and more often involve processing considerable amounts of data that may evolve during the project. These data should be preserved and aggregated for the purpose of future analyses beyond the lifetime of a given research project. This paper discussed the challenges concerned with the construction of the storage management layer for genotype-phenotype data. These data were used to research neurodegeneration disorders and their therapy. We outline the functionality of data processing services. We also present a flexible data-storage structure. Finally, we discuss the choices regarding database schema management and input sanitation and processing.