OptimusKG

Guide for using OptimusKG, the biomedical knowledge graph, through the `optimuskg` Python client. Use this when loading, querying, filtering, or analyzing OptimusKG data — genes, drugs, diseases, phenotypes, anatomy, pathways, and their relationships — as Polars DataFrames or a NetworkX graph, or when downloading the published graph from Harvard Dataverse.

Enforce synchronization between Kedro node files and catalog YAML files in the OptimusKG project. Use when editing any Python node file under optimuskg/pipelines/*/nodes/, including modifying run() functions, changing node() inputs/outputs, adding/removing/renaming DataFrame columns, or changing column types. Also use when creating new nodes or deleting existing ones.