We have used PyBEL in several other projects and publications. Below is a sample:
Domingo-Fernández, D., Mubeen, S., Marin-Llao, J., Hoyt, C. T., & Hofmann-Apitius, M. (2018). PathMe: Merging and
exploring mechanistic pathway knowledge. bioRxiv, 451625.
Domingo-Fernández, D., Hoyt, C. T., Alvarez, C. B., Marin-Llao, J., Hofmann-Apitius, M. (2018). ComPath: an ecosystem
for exploring, analyzing, and curating mappings across pathway databases. Npj Systems Biology and Applications,
5(1), 3. https://doi.org/10.1038/s41540-018-0078-8
Hoyt, C. T., et al. (2018). A systematic approach for identifying shared mechanisms in epilepsy and its
comorbidities. Database, 2018(1). https://doi.org/10.1093/database/bay050
Hoyt, C. T., et al. (2019). Re-curation and Rational Enrichment of Knowledge Graphs in Biological Expression
Language. BioRxiv, 536409. https://doi.org/10.1101/536409
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.
https://doi.org/10.1093/database/bay126
Ali, M., et al. (2019). BioKEEN: A library for learning and evaluating biological knowledge graph embeddings.
Bioinformatics, btz117. https://doi.org/10.1093/bioinformatics/btz117