This package allows the enrichment of BEL networks with KEGG information by wrapping its RESTful API. Furthermore, it is integrated in the ComPath environment for pathway database comparison.
If you find this package useful, please consider citing [domingofernandez2018]:
[domingofernandez2018] | Domingo-Fernandez, D., et al (2018). ComPath: an ecosystem for exploring, analyzing, and curating mappings across pathway databases. Npj Systems Biology and Applications, __5__(1), 3. |
Warning This package creates partOf
relationships in BEL, but does not convert KEGG mechanistic
relationships to BEL. That functionality is implemented in the
PathMe project.
bio2bel_kegg
can be installed easily from PyPI with the
following code in your favorite terminal:
$ pip install bio2bel_kegg
or from the latest code on GitHub in development mode with:
$ git clone https://github.com/bio2bel/kegg.git
$ cd kegg
$ pip install -e .
KEGG can be downloaded and populated from either the Python REPL or the automatically installed command line utility.
>>> import bio2bel_kegg
>>> kegg_manager = bio2bel_kegg.Manager()
>>> kegg_manager.populate()
bio2bel_kegg populate
- Run an admin site for simple querying and exploration
python3 -m bio2bel_kegg web
(http://localhost:5000/admin/) - Export gene sets for programmatic use
python3 -m bio2bel_kegg export-gene-sets -f tsv
- Kanehisa, Furumichi, M., Tanabe, M., Sato, Y., and Morishima, K.; KEGG: new perspectives on genomes, pathways, diseases and drugs. Nucleic Acids Res. 45, D353-D361 (2017).
- Kanehisa, M., Sato, Y., Kawashima, M., Furumichi, M., and Tanabe, M.; KEGG as a reference resource for gene and protein annotation. Nucleic Acids Res. 44, D457-D462 (2016).
- Kanehisa, M. and Goto, S.; KEGG: Kyoto Encyclopedia of Genes and Genomes. Nucleic Acids Res. 28, 27-30 (2000).