2016
Chapter 8 Mobile Technologies and Clinical Computing
Nadkarni P. Chapter 8 Mobile Technologies and Clinical Computing. 2016, 159-171. DOI: 10.1016/b978-0-12-803130-8.00008-7.Peer-Reviewed Original Research
2014
Chapter 2 Data Integration: An Overview
Nadkarni P, Marenco L. Chapter 2 Data Integration: An Overview. 2014, 15-47. DOI: 10.1016/b978-0-12-401678-1.00002-6.Peer-Reviewed Original ResearchIntegration effortsIntermediary softwareSeamless accessData integration strategyPhysical integrationVirtual integrationData integrationTypes of dataData elementsLogical integrationSource systemSingle large organizationLarge organizationsSingle resourceUsersMultiple sourcesIntegration strategyIntegrationFormal sequenceQueriesMetadataSoftwareStorage technologiesRedundancySystem
2004
VitaPad: visualization tools for the analysis of pathway data
Holford M, Li N, Nadkarni P, Zhao H. VitaPad: visualization tools for the analysis of pathway data. Bioinformatics 2004, 21: 1596-1602. PMID: 15564306, DOI: 10.1093/bioinformatics/bti153.Peer-Reviewed Original ResearchConceptsCross-platform applicationHigh-resolution graphicsGraph layout algorithmsBiological pathway diagramsPathway diagramsXML formatUser interfaceLayout algorithmVisualization toolsIntuitive controlEasy extensionPathway dataGraphicsUsersMicroarray dataAlgorithmSoftwareToolFormatDataHongyuInterfaceIntegrationPackageApplications
2003
Achieving Evolvable Web-Database Bioscience Applications Using the EAV/CR Framework: Recent Advances
Marenco L, Tosches N, Crasto C, Shepherd G, Miller PL, Nadkarni PM. Achieving Evolvable Web-Database Bioscience Applications Using the EAV/CR Framework: Recent Advances. Journal Of The American Medical Informatics Association 2003, 10: 444-453. PMID: 12807806, PMCID: PMC212781, DOI: 10.1197/jamia.m1303.Peer-Reviewed Original ResearchConceptsEAV/CRXML-based protocolHuman Brain ProjectDatabase supportData querySemantic descriptorsAutomatic generationNeuroscience databasesCR frameworkScientific domainsBrain ProjectInterclass relationshipsSchema maintenanceFrameworkBioscience applicationsResearch focusQueriesMetadataDatabaseUMLSUsersData extractionDifferent subsetsSchemaParticular research focus
2000
Olfactory Receptor Database: a sensory chemoreceptor resource
Skoufos E, Marenco L, Nadkarni P, Miller P, Shepherd G. Olfactory Receptor Database: a sensory chemoreceptor resource. Nucleic Acids Research 2000, 28: 341-343. PMID: 10592268, PMCID: PMC102443, DOI: 10.1093/nar/28.1.341.Peer-Reviewed Original Research
1998
Data Extraction and Ad Hoc Query of an Entity—Attribute—Value Database
Nadkarni P, Brandt C. Data Extraction and Ad Hoc Query of an Entity—Attribute—Value Database. Journal Of The American Medical Informatics Association 1998, 5: 511-527. PMID: 9824799, PMCID: PMC61332, DOI: 10.1136/jamia.1998.0050511.Peer-Reviewed Original ResearchConceptsElectronic patient record systemQuery problemAd-Hoc QueriesReal-time retrievalPatient record systemData warehousingEntity attributesComplex subproblemsData retrievalQueriesValue databaseRecord systemSuch systemsRetrievalValue tablePatient dataFront endAttributesMetadataWarehousingDatabaseUsersData extractionSubproblemsIndividual attributesDatabase tools for integrating and searching membrane property data correlated with neuronal morphology
Mirsky J, Nadkarni P, Healy M, Miller P, Shepherd G. Database tools for integrating and searching membrane property data correlated with neuronal morphology. Journal Of Neuroscience Methods 1998, 82: 105-121. PMID: 10223520, DOI: 10.1016/s0165-0270(98)00049-1.Peer-Reviewed Original ResearchConceptsDatabase toolsWeb resourcesSearch toolsCritical problemUsersSequence databasesSimple canonical modelFunctional operationDatabaseToolSearchDifferent neuronsInternetAnnotationEquivalent compartmentsModelersDataProperty dataCanonical modelDifferent typesInformationState of acceptanceResourcesVehiclesProperty spaceA metadata approach to query interoperation between molecular biology databases.
Cheung KH, Nadkarni PM, Shin DG. A metadata approach to query interoperation between molecular biology databases. Bioinformatics 1998, 14: 486-497. PMID: 9694987, DOI: 10.1093/bioinformatics/14.6.486.Peer-Reviewed Original ResearchConceptsMolecular biology databasesDatabase objectsBiology databasesSpecification of correspondencesDatabase accessHeterogeneous databasesSQL queriesDatabase interoperationMetadata approachSuch metadataPrototype systemIndividual databasesInteroperationMap databaseMetadataDatabaseGreat challengeObjectsQueriesUsersValue modelDatabase comparisonRequestsSpecificationComplexityAutomatic query mapping among genomic databases: a pilot exploration.
Cheung KH, Nadkarni P, Miller P, Shin DG. Automatic query mapping among genomic databases: a pilot exploration. AMIA Annual Symposium Proceedings 1998, 942-6. PMID: 9929357, PMCID: PMC2232293.Peer-Reviewed Original Research
1997
QAV: querying entity-attribute-value metadata in a biomedical database
Nadkarni P. QAV: querying entity-attribute-value metadata in a biomedical database. Computer Methods And Programs In Biomedicine 1997, 53: 93-103. PMID: 9186046, DOI: 10.1016/s0169-2607(97)01815-4.Peer-Reviewed Original ResearchConceptsData retrievalClient-server applicationsGraphical front endSet-based queriesMetadata repositorySQL statementsData organizationKnowledge representationBiomedical databasesRetrievalProduction applicationsFront endQueriesServerMetadataDatabaseUsersRepositoryDatasetApplicationsRelation formRepresentation