BioCypher

Knowledge graphs (KGs) are an approach to knowledge representation that uses graph structure to facilitate exploration and analysis of complex data, often leveraging semantic information. They are popular in many research areas, including the life sciences, due to their versatile use, for instance in data storage, integration, reasoning, and more recently in artificial intelligence. The creation of KGs is a complex task; BioCypher helps you in creating and maintaining your own KG.

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Topics

Biology Biomedical science Computational biology Bioinformatics Ontology and terminology

Collections

BioCypher

Details

License:: MIT
Maturity:: Emerging
Cost:: Free of charge
Tool Type:: library
Operating Systems:: Mac, Linux, Windows
Programming Languages:: Python
Added:: 11/5/2024
Last Updated:: 11/5/2024

Operations

Publications

Lobentanzer S, Aloy P, Baumbach J, Bohar B, Carey VJ, Charoentong P, Danhauser K, Doğan T, Dreo J, Dunham I, Farr E, Fernandez-Torras A, Gyori BM, Hartung M, Hoyt CT, Klein C, Korcsmaros T, Maier A, Mann M, Ochoa D, Pareja-Lorente E, Popp F, Preusse M, Probul N, Schwikowski B, Sen B, Strauss MT, Turei D, Ulusoy E, Waltemath D, Wodke JAH, Saez-Rodriguez J. Democratizing knowledge representation with BioCypher. Nature Biotechnology. 2023;41(8):1056-1059. doi:10.1038/s41587-023-01848-y.

DOI: 10.1038/s41587-023-01848-y

Documentation

API documentation

https://biocypher.org/api.html

Installation instructions

https://biocypher.org/installation.html

Quick start guide

https://biocypher.org/quickstart.html

General

https://biocypher.org/index.html

Links

Discussion forum

https://biocypher.zulipchat.com

(Open discussion forum, free to join.)

Repository

https://github.com/biocypher/biocypher

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