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Brief Bioinform. 2009 Jul;10(4):345-53. doi: 10.1093/bib/bbp029.

Approaches to neuroscience data integration.

Author information

1
Center for Medical Informatics, Yale University School of Medicine, New Haven, CT 06511, USA. kei.cheung@yale.edu

Abstract

As the number of neuroscience databases increases, the need for neuroscience data integration grows. This paper reviews and compares several approaches, including the Neuroscience Database Gateway (NDG), Neuroscience Information Framework (NIF) and Entrez Neuron, which enable neuroscience database annotation and integration. These approaches cover a range of activities spanning from registry, discovery and integration of a wide variety of neuroscience data sources. They also provide different user interfaces for browsing, querying and displaying query results. In Entrez Neuron, for example, four different facets or tree views (neuron, neuronal property, gene and drug) are used to hierarchically organize concepts that can be used for querying a collection of ontologies. The facets are also used to define the structure of the query results.

PMID:
19505888
PMCID:
PMC2691938
DOI:
10.1093/bib/bbp029
[Indexed for MEDLINE]
Free PMC Article
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