BioDWH2: an automated graph-based data warehouse and mapping tool.
data warehousing
database
graph database
pipeline
software tools
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
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
167-176Informations de copyright
© 2021 Marcel Friedrichs published by De Gruyter, Berlin/Boston.
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