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A graph-based approach to identify complex connections in heterogeneous biological networks

Camille Juigné, Emmanuelle Becker, Océane Carpentier, Florence Gondret, Olivier Dameron

We developed a graph-based approach to identify complex connections in heterogeneous biological networks. We use data from different omics layers, which we link using : BioPAX, UniProt and ChEBI ontologies.

The SPARQL queries used are available in the jupyter notebook "2023_06_BioPAX_data-integration.ipyn".

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