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


Journal

Journal of integrative bioinformatics
ISSN: 1613-4516
Titre abrégé: J Integr Bioinform
Pays: Germany
ID NLM: 101503361

Informations de publication

Date de publication:
22 Feb 2021
Historique:
received: 12 10 2020
accepted: 25 01 2021
pubmed: 23 2 2021
medline: 30 6 2021
entrez: 22 2 2021
Statut: epublish

Résumé

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.

Identifiants

pubmed: 33618440
pii: jib-2020-0033
doi: 10.1515/jib-2020-0033
pmc: PMC8238471
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

167-176

Informations de copyright

© 2021 Marcel Friedrichs published by De Gruyter, Berlin/Boston.

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Auteurs

Marcel Friedrichs (M)

Bielefeld University, Faculty of Technology, Bioinformatics / Medical Informatics Department, Bielefeld, Germany.

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Classifications MeSH