NDLI: BioDWH2: an automated graph-based data warehouse and mapping tool

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BioDWH2: an automated graph-based data warehouse and mapping tool

Content Provider	Scilit
Author	Friedrichs, Marcel
Copyright Year	2021
Abstract	Data integration plays a vital role in scientific research. In biomedical research, the OMICS fields have shown the need for larger datasets, like proteomics, pharmacogenomics, and newer fields like foodomics. As research projects require multiple data sources, mapping between these sources becomes necessary. Utilized workflow systems and integration tools therefore need to process large amounts of heterogeneous data formats, check for data source updates, and find suitable mapping methods to cross-reference entities from different databases. This article presents BioDWH2, an open-source, graph-based data warehouse and mapping tool, capable of helping researchers with these issues. A workspace centered approach allows project-specific data source selections and Neo4j or GraphQL server tools enable quick access to the database for analysis. The BioDWH2 tools are available to the scientific community at https://github.com/BioDWH2.
Related Links	https://www.degruyter.com/document/doi/10.1515/jib-2020-0033/pdf
Ending Page	176
Page Count	10
Starting Page	167
e-ISSN	16134516
DOI	10.1515/jib-2020-0033
Journal	Journal of Integrative Bioinformatics
Issue Number	2
Volume Number	18
Language	English
Publisher	Walter de Gruyter GmbH
Publisher Date	2021-02-22
Access Restriction	Open
Subject Keyword	Journal of Integrative Bioinformatics Mathematical and Computational Biology Data Warehousing Database Graph Database Pipeline Software Tools Journal: Journal of Integrative Bioinformatics, Vol- 18
Content Type	Text
Resource Type	Article

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