GenCoNet - A Graph Database for the Analysis of Comorbidities by Gene Networks
Alban Shoshi1, Ralf Hofestädt1, Olga Zolotareva1,2
1Bielefeld University, Bioinformatics/Medical Informatics Department, Bielefeld, Germany.
Abstract:
The prevalence of comorbid diseases poses a major health issue for millions of people worldwide and an enormous socio-economic burden for society. The molecular mechanisms for the development of comorbidities need to be investigated. For this purpose, a workflow system was developed to aggregate data on biomedical entities from heterogeneous data sources. The process of integrating and merging all data sources of the workflow system was implemented as a semi-automatic pipeline that provides the import, fusion, and analysis of the highly connected biomedical data in a Neo4j database GenCoNet. As a starting point, data on the common comorbid diseases essential hypertension and bronchial asthma was integrated. GenCoNet (https://genconet.kalis-amts.de) is a curated database that provides a better understanding of hereditary bases of comorbidities.
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