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1.  Approaches to neuroscience data integration 
Briefings in Bioinformatics  2009;10(4):345-353.
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.
doi:10.1093/bib/bbp029
PMCID: PMC2691938  PMID: 19505888
data integration; neuroinformatics; ontology; semantic web; user interface
2.  SenseLab 
Briefings in bioinformatics  2007;8(3):150-162.
This article presents the latest developments in neuroscience information dissemination through the SenseLab suite of databases: NeuronDB, CellPropDB, ORDB, OdorDB, OdorMapDB, ModelDB and BrainPharm. These databases include information related to: (i) neuronal membrane properties and neuronal models, and (ii) genetics, genomics, proteomics and imaging studies of the olfactory system. We describe here: the new features for each database, the evolution of SenseLab’s unifying database architecture and instances of SenseLab database interoperation with other neuroscience online resources.
doi:10.1093/bib/bbm018
PMCID: PMC2756159  PMID: 17510162
neuroscience; databases; SenseLab; neuroinformatics; Human Brain Project

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