GenCoNet – A Graph Database for the Analysis of Comorbidities by Gene Networks
| Autor: | Alban Shoshi, Vladimir A. Ivanisenko, Ralf Hofestädt, Alex Maier, Victor E. Dosenko, Marcel Friedrichs, Olga Zolotareva, Elena Yu. Bragina |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
hypertension Databases Factual Computer science Process (engineering) workflow Gene regulatory network computer.software_genre 03 medical and health sciences Biomedical data Computer Graphics Humans Gene Regulatory Networks database Graph database Computational Biology pipeline General Medicine asthma Data science Pipeline (software) comorbidity 030104 developmental biology Workflow Aggregate data Essential Hypertension computer Software TP248.13-248.65 Research Article Biotechnology |
| Zdroj: | Journal of Integrative Bioinformatics, Vol 15, Iss 4, Pp 85-90 (2018) Journal of Integrative Bioinformatics |
| ISSN: | 1613-4516 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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