1996
PhenoDB: An Integrated Client/Server Database for Linkage and Population Genetics
Cheung K, Nadkarni P, Silverstein S, Kidd J, Pakstis A, Miller P, Kidd K. PhenoDB: An Integrated Client/Server Database for Linkage and Population Genetics. Journal Of Biomedical Informatics 1996, 29: 327-337. PMID: 8812078, DOI: 10.1006/cbmr.1996.0024.Peer-Reviewed Original ResearchMeSH KeywordsAllelesComputer Communication NetworksComputer GraphicsComputer SystemsData Interpretation, StatisticalDatabase Management SystemsGene FrequencyGenetic LinkageGenetic MarkersGenetics, PopulationHumansInformation Storage and RetrievalInformation SystemsPedigreePhenotypeUser-Computer InterfaceConceptsClient/server databaseClient/server architectureData management tasksData analysis tasksUse graphical interfaceServer architectureDatabase applicationsComplex adServer databaseInteractive validationAnalysis tasksGraphical interfaceFile formatManagement tasksLarge datasetsPhenoDBMultipoint linkageGeneric formatHardy-Weinberg ratiosData entryEfficient managementProject managementGenetic marker dataPopulation geneticsTask
1992
Harnessing networked workstations as a powerful parallel computer: a general paradigm illustrated using three programs for genetic linkage analysis
Miller P, Nadkarni P, Bercovitz P. Harnessing networked workstations as a powerful parallel computer: a general paradigm illustrated using three programs for genetic linkage analysis. Bioinformatics 1992, 8: 141-147. PMID: 1591609, DOI: 10.1093/bioinformatics/8.2.141.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsComputer Communication NetworksEvaluation Studies as TopicGenetic LinkageProgramming LanguagesSoftwareConceptsParallel computersMachine-independent parallel programming languageParallel programming languagePowerful parallel computersParallel programsProgramming languageNetworked workstationsComputational resourcesParallel machinesGeneral paradigmBiological computationWorkstationsComputerLindaNetworkInstitutions networkMathematical techniquesParadigmHardwareMachineComputationLanguageCapabilityResourcesFast Computation of Genetic Likelihoods on Human Pedigree Data
Goradia T, Lange K, Miller P, Nadkarni P. Fast Computation of Genetic Likelihoods on Human Pedigree Data. Human Heredity 1992, 42: 42-62. PMID: 1555846, DOI: 10.1159/000154045.Peer-Reviewed Original ResearchConceptsHuman pedigree dataNetwork of workstationsLarge-scale computationsHardware techniquesParallel machinesComputational speedDifferent architecturesLinkage problemFast computationVectorized versionComputationFast calculationLarge numberParallelizationSupercomputersVectorizationComplete phenotypingWorkstationsArchitectureGenetic likelihoodMachineNetworkVersionNew methodSubstantial improvement
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 ResearchMeSH KeywordsChromosome MappingForecastingGenetic LinkageLod ScoreMolecular BiologyProgramming LanguagesSoftwareSoftware DesignConceptsParallel 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 forms