RNA-KG

RNA-KG is an ontology-based knowledge graph which encompasses biological knowledge about RNA molecules gathered from more than 60 public data sources, integrating functional relationships with genes, proteins, and chemicals and ontologically grounded biomedical concepts. RNA-KG is constantly maintained and updated with new experimental data. RNA-KG releases are updated on this webpage. More details can be found in our paper: https://www.nature.com/articles/s41597-024-03673-7.


RNA-KG metagraph RNA-KG can be built from scratch by following the tutorials on the GitHub page (specifically, https://github.com/AnacletoLAB/RNA-KG/tree/main/notebooks contains Python notebook to build RNA-KG current release).

Don't hesitate to contact us, especially if you believe a new data source should be integrated into RNA-KG. To get in touch with us, please create an issue or send us an email 📩.

Citing RNA-KG

Please cite the following paper if RNA-KG was useful for your research:

@article{Cavalleri2024rnakg,
    title="An ontology-based knowledge graph for representing interactions involving RNA molecules",
    author="Emanuele Cavalleri and Alberto Cabri and Mauricio Soto-Gomez and Sara Bonfitto and Paolo Perlasca and Jessica Gliozzo and Tiffany J. Callahan and Justin Reese and Peter N Robinson and Elena Casiraghi and Giorgio Valentini and Marco Mesiti",
    year="2024",
    journal="Sci. Data",
    publisher="Springer Science and Business Media LLC",
    volume=11,
    number=1,
    pages="906",
    month=aug,
    year=2024,
    copyright="https://creativecommons.org/licenses/by-nc-nd/4.0",
    language="en"
}