2011
Metadata-driven Software Systems in Biomedicine, Designing Systems that can adapt to Changing Knowledge
Nadkarni P. Metadata-driven Software Systems in Biomedicine, Designing Systems that can adapt to Changing Knowledge. Health Informatics 2011 DOI: 10.1007/978-0-85729-510-1.Peer-Reviewed Original ResearchSoftware systemsClinical study data management systemsBiomedical database systemsData management systemResearch support systemSoftware developmentDatabase schemaDatabase systemsExtensible designSoftware historyDesigning systemSupport systemManagement systemSuch systemsDevelopment skillsElectronic medical recordsNon-trivial examplesNew systemProblems oneBest systemDetailed projectMetadataOntologyCase studySystem
2003
Integrating Query of Relational and Textual Data in Clinical Databases: A Case Study
Fisk JM, Mutalik P, Levin FW, Erdos J, Taylor C, Nadkarni P. Integrating Query of Relational and Textual Data in Clinical Databases: A Case Study. Journal Of The American Medical Informatics Association 2003, 10: 21-38. PMID: 12509355, PMCID: PMC150357, DOI: 10.1197/jamia.m1133.Peer-Reviewed Original ResearchConceptsRelational database management systemInformation retrievalDatabase management systemClinical data martCommodity softwareFuzzy searchingText indexingRelational searchTextual dataData martIR softwareBoolean searchManagement systemMedical textsSoftwareSearchingDocumentsQueriesTextIndexingClinical databaseCase studyIR facilitiesRetrievalVendors
1995
Internet-based Support for Bioscience Research: A Collaborative Genome center for Human Chromosome 12
Miller P, Nadkarni P, Kidd K, Cheung K, Ward D, Banks A, Bray-Ward P, Cupelli L, Herdman V, Marondel I, Montcomery K, Renault B, Yoon S, Krauter K, Kucherlapati R. Internet-based Support for Bioscience Research: A Collaborative Genome center for Human Chromosome 12. Journal Of The American Medical Informatics Association 1995, 2: 351-364. PMID: 8581551, PMCID: PMC116278, DOI: 10.1136/jamia.1995.96157828.Peer-Reviewed Original ResearchMeSH KeywordsChromosome MappingChromosomes, Artificial, YeastChromosomes, Human, Pair 12Computer Communication NetworksConnecticutData DisplayDatabases, FactualGenetic MarkersGenome, HumanHumansInterinstitutional RelationsLocal Area NetworksModels, GeneticNew York CityOrganizational ObjectivesSoftware DesignSystems IntegrationUser-Computer InterfaceConceptsUser-friendly front endInternet-based supportExternal databasesMedical informaticsGenome CenterGenome informaticsDatabase programMapping communityCandidate mapsInformaticsAssembly toolsAreas of bioscienceFront endDatabaseServerSybaseSuch supportCase studySetToolBioscience researchCertain issuesClientsTechnologySupport
1992
Comparing machine-independent versus machine-specific parallelization of a software platform for biological sequence comparison
Miller P, Nadkarni P, Pearson W. Comparing machine-independent versus machine-specific parallelization of a software platform for biological sequence comparison. Bioinformatics 1992, 8: 167-175. PMID: 1591612, DOI: 10.1093/bioinformatics/8.2.167.Peer-Reviewed Original ResearchConceptsDatabase of sequencesBiological sequence comparisonParallel computationMachine-independent parallel programming languageParallel programming languageHypercube parallel computerProgramming languageSoftware platformParallel computersParallel machinesExpressive powerBiological sequencesParallelizationPlatform programComputationModest sacrificeBenchmark testsLogicDatabaseCase studyComputerPortabilityMachineLindaRelative advantages
1991
Parallelizing genetic linkage analysis: A case study for applying parallel computation in molecular biology
Miller P, Nadkarni P, Gelernter J, Carriero N, Pakstis A, Kidd K. Parallelizing genetic linkage analysis: A case study for applying parallel computation in molecular biology. Journal Of Biomedical Informatics 1991, 24: 234-248. PMID: 1868693, DOI: 10.1016/0010-4809(91)90046-y.Peer-Reviewed Original ResearchConceptsParallel computersSequential programsMachine-independent parallel programming languageParallel programming languageDifferent parallel machinesLengthy computation timeParallel programsProgramming languageAvailable processorsDifferent processorsParallel computationParallel machinesSequential versionParallel versionComputational loadComputation timePerformance benchmarksComputerProcessorsCase studyDifferent piecesIterative programsLINKMAPComputationParallel formsParallel computation for biological sequence comparison: comparing a portable model to the native model for the Intel Hypercube.
Nadkarni P, Miller P. Parallel computation for biological sequence comparison: comparing a portable model to the native model for the Intel Hypercube. AMIA Annual Symposium Proceedings 1991, 404-8. PMID: 1807632, PMCID: PMC2247563.Peer-Reviewed Original ResearchConceptsMachine-independent parallel programming languageIntel HypercubeVirtual parallel machineParallel programming languageBiological sequence comparisonNumber of processorsParallel programmingParallel programsProgramming languageParallel computationDesktop workstationsParallel machinesProgramming commandsApplication areasPortable modelProcessorsLindaBenchmark testsNative modelsHypercubeParallelizationCase studyWorkstationsVersionMachine