Graph Data Management for Molecular Biology

IT IS OUR VIEW that labeled directed graph data models (simple, nested, or hypergraphs) can naturally and usefully capture a wide variety of biological data and queries. We believe that development of general purpose graph data management systems (GDMSs) could become major platforms for development of a wide variety of bioinformatics database systems spanning applications from DNA sequences, chemical structure graphs, to contact graphs and biopathways. The use of a common data model and query language across numerous biological applications is very attractive from both a development and user standpoint. Considerable research and development effort are still required to extend current systems to meet modern requirements.