An environment for curating, validating, and exploring knowledge assemblies encoded in Biological Expression Language (BEL) to support elucidating disease-specific, mechanistic insight.Disclaimer: this is a scientific prototype that has been developed in an academic capacity, and thus comes with no warranty or guarantee of maintenance, support, or back-up of data.
View summaries and statistics over curated networks and as a first step towards exploration and visualization.
Build a network by investigating the knowledge related to interesting biological entities, chemical matter, authors, or publications.
View the underlying namespaces and annotations along with their respective uniform resource locators and version numbers.Resources 115
BEL Commons is developed and maintained in an academic capacity by Charles Tapley Hoyt and Daniel Domingo-Fernández at the Fraunhofer SCAI Department of Bioinformatics with support from the IMI project, AETIONOMY. It is built on top of PyBEL, an open source project. Please feel free to contact us here to give us feedback or report any issues. Also, see our Publishing Notes and Data Protection information.
If you find BEL Commons useful in your work, please consider citing: Hoyt, C. T., Domingo-Fernández, D., & Hofmann-Apitius, M. (2018). BEL Commons: an environment for exploration and analysis of networks encoded in Biological Expression Language. Database, 2018(3), 1–11.