GenCoNet - A Graph Database for the Analysis of Comorbidities by Gene Networks

被引：10

作者：

Shoshi, Alban ^{[1
]}

Hofestaedt, Ralf ^{[1
]}

Zolotareva, Olga ^{[1
,2
]}

Friedrichs, Marcel ^{[1
]}

Maier, Alex ^{[1
]}

Ivanisenko, Vladimir A. ^{[3
]}

Dosenko, Victor E. ^{[4
]}

Bragina, Elena Yu ^{[5
]}

机构：

[1] Bielefeld Univ, Bioinformat Med Informat Dept, Bielefeld, Germany

[2] Bielefeld Univ, Int Res Grp Computat Methods Anal Divers & Dynam, Bielefeld, Germany

[3] Russian Acad Sci, Inst Cytol & Genet, Siberian Branch, Novosibirsk, Russia

[4] Bogomoletz Inst Physiol, Kiev, Ukraine

[5] Tomsk NRMC, Res Inst Med Genet, Tomsk, Russia

来源：

JOURNAL OF INTEGRATIVE BIOINFORMATICS | 2018年 / 15卷 / 04期

关键词：

Database; Workflow; Pipeline; Asthma; Hypertension; Comorbidity;

D O I：

10.1515/jib-2018-0049

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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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