Systems Biology

The study of systems biology has been largely aided by the availability of massive amounts of expert knowledge and “Omics data” generated from genomics, transcriptomics, proteomics and metabolomics experiments, and the biostatistics/bioinformatics tools.

However, most of systems biology solutions depend on databases that are mainly used to store large amounts of data and display simple relationships among genes/proteins. The complex biological data stored in bioinformatics databases often requires the addition of knowledge to specify and constrain the values held in that database.

All of these make the process of building the biological knowledge very time-consuming and error-oriented. Also, there is a great unmet need to process biology knowledge in a format that is easy to manage, reuse, and display complex relationships (e.g. signaling network) among genes/proteins.