Cargando…
BiobankUniverse: automatic matchmaking between datasets for biobank data discovery and integration
MOTIVATION: Biobanks are indispensable for large-scale genetic/epidemiological studies, yet it remains difficult for researchers to determine which biobanks contain data matching their research questions. RESULTS: To overcome this, we developed a new matching algorithm that identifies pairs of relat...
Autores principales: | Pang, Chao, Kelpin, Fleur, van Enckevort, David, Eklund, Niina, Silander, Kaisa, Hendriksen, Dennis, de Haan, Mark, Jetten, Jonathan, de Boer, Tommy, Charbon, Bart, Holub, Petr, Hillege, Hans, Swertz, Morris A |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870622/ https://www.ncbi.nlm.nih.gov/pubmed/29036577 http://dx.doi.org/10.1093/bioinformatics/btx478 |
Ejemplares similares
-
MOLGENIS/connect: a system for semi-automatic integration of heterogeneous phenotype data with applications in biobanks
por: Pang, Chao, et al.
Publicado: (2016) -
SORTA: a system for ontology-based re-coding and technical annotation of biomedical phenotype data
por: Pang, Chao, et al.
Publicado: (2015) -
BBMRI-ERIC Directory: 515 Biobanks with Over 60 Million Biological Samples
por: Holub, Petr, et al.
Publicado: (2016) -
Pan-European Data Harmonization for Biobanks in ADOPT BBMRI-ERIC
por: Mate, Sebastian, et al.
Publicado: (2019) -
BiobankConnect: software to rapidly connect data elements for pooled analysis across biobanks using ontological and lexical indexing
por: Pang, Chao, et al.
Publicado: (2015)