| Autor: |
Shoshi Alban, Hofestädt Ralf, Zolotareva Olga, Friedrichs Marcel, Maier Alex, Ivanisenko Vladimir A., Dosenko Victor E., Bragina Elena Yu |
| Jazyk: |
angličtina |
| Rok vydání: |
2018 |
| Předmět: |
|
| Zdroj: |
Journal of Integrative Bioinformatics, Vol 15, Iss 4, Pp 85-90 (2018) |
| Druh dokumentu: |
article |
| ISSN: |
1613-4516 |
| DOI: |
10.1515/jib-2018-0049 |
| 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: |
Directory of Open Access Journals |
| Externí odkaz: |
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