Disease Networks

The Disease Networks module is been developed as a multi-scale framework (using the graph datagabse approach) to facilitate management (integration, exploration, visualisation, interpretation) of diverse types of biological and biomedical data.

Disease Networks employ the popular graph database Neo4j, which provides a persistence mechanism that is robust and has powerful functionality (the Cypher query language) that allows the user to query networks, to find connections between particular data entries using graph traversal techniques.

Major components

  1. The Protein Framework

  2. The Metabolic Framework

  3. The EpiGeNet (Epigenetic - Genetic) Framework



This eTRIKS Labs module provided via this website is offered to the public as freely available resource, solely for non-commercial research use. Some aspects of this experimental module may still be under development, and is made available with no warranties about the completeness, reliability, accuracy and security of the software package or the services. Please bear this in mind, especially if you wish to analyse personal and/or confidential data.

This module uses public data and/or software sources that are available through third parties on the internet - these are identified by links provided under 'Acknowledgements'. If you use or re-distribute these public data or software for any purposes, you are responsible for adhering to the license requirements of these public data sources.


Authors would like to acknowledge for access to the Neo4j and to NDEx frameworks and for data resources within the databases interrogated: DisGeNET, DrugBank, Human Protein Atlas, IntAct, Reactome, UniProt, Human Metabolic Reconstruction (Recon2). Users of this resource should respect any restrictions of use associated with these component databases.

Contact us!

We would be happy to hear from your experience and for feedback, any issues/ suggestions on this, please contact us by email to ibalaur@eisbm.org or msaqi@eisbm.org.