The BioGrakn Disease Network

The field of systems biology is characterized by a huge amount of heterogeneous data, hard to integrate due to their complex nature and rich semantics. One of the key goals in this scope is understanding the complex relationships among these biological data and, certainly, we need solutions to speed up their integration and querying. Anyhow, analyzing large volumes of biological data through traditional database systems is troublesome and challenging. In this work, we demonstrate how using a semantic knowledge graph for complex biological relationships, such as BioGrakn Disease Network (BioGraknDN), would accelerate the knowledge discovery process.