Boolean networks represent one of the main frameworks for modeling biochemical processes in systems biology. As such, there exist various repositories and datasets of known networks that can be used for testing and tool comparisons. One of such repositories is "Biodivine Boolean Models (BBM)" [1], which hosts more than 200 models at the time of writing

The BBM repository is currently available through git, such that each network is augmented with basic metadata (for example the source, including the publication DOI, number of variables and regulations, basic structural properties, ...). However, this format is mainly optimized for easy machine readability.

The goal of this thesis is to use (and possibly extend) the BBM repository to build a web application that can communicate these biological models more clearly:

• The application should support search and filtering based on various criteria (search by model name, variable names, authors, sorting, or filtering by the variable count, input count, etc.)
• The application should be able to visualize the regulatory network of the model or to open it directly in the AEON tool (it is expected that the visualization component will be adapted from AEON)
• Data in the application will be automatically synchronized with the git repository.

[1] https://github.com/sybila/biodivine-boolean-models