BEL (Biological Expression Language) can represents scientific findings in the life sciences in a computable form. OpenBEL has recently designed an RDF model for BEL to integrate our language seamlessly with other life science vocabularies.
It can be difficult to determine what types of data comprise your RDF model and tedious to run statistic queries to determine how much data of these types. Graphical visualizations can better convey this information though it can be hard to figure our which visualization is appropriate. Tools like Sgvizler and Visualbox provide a great start to pairing RDF data with visualizations.
This project's goal is to explore the BEL RDF model and determine which visualizations are the most informative and appealing. Examples of queries might be:
- Categorizing BEL statements by BEL functions
- Distribution of BEL statements by anatomy context
- Changes in BEL statements over time
The result should be a live demo of visualizations against the BEL RDF model.