BioNetDB models biology data as a network of nodes and relations.Biology data comes from different formats and sources it comprises system biology data from Reactome, annotation data from CellBase and human genetic variations from healthcare centers' clinical data. BioNetDB relies on Neo4j graph database that allows users to access biological data using the Cypher query language (similar to SQL in relational databases).
The figure below shows BioNetDB nodes with their labels. for clarity, some labels have been shortened:
Shortened labes in the previous figure:
1 POPUL. FREQUEN
2 FUNCT. SCORE
3 TRAIT ASSOCIA.
4 CONSEQ. TYPE
5 PROTEIN VAR. ANNOT.
6 SUBST. SCORE
This section lists the main nodes of the BioNetDB network data model and for each of them, its properties and relationships are shown.
Gene node properties:
Transcript node properties:
Transcript relationships (transcript node in pink):