2022
NLM's Sponsorship of Research in Biomedical Informatics (1985-2016).
Kuo T, Ohno-Machado L. NLM's Sponsorship of Research in Biomedical Informatics (1985-2016). Studies In Health Technology And Informatics 2022, 288: 64-73. PMID: 35102829, DOI: 10.3233/shti210982.Peer-Reviewed Original Research
2017
Finding useful data across multiple biomedical data repositories using DataMed
Ohno-Machado L, Sansone S, Alter G, Fore I, Grethe J, Xu H, Gonzalez-Beltran A, Rocca-Serra P, Gururaj A, Bell E, Soysal E, Zong N, Kim H. Finding useful data across multiple biomedical data repositories using DataMed. Nature Genetics 2017, 49: 816-819. PMID: 28546571, PMCID: PMC6460922, DOI: 10.1038/ng.3864.Peer-Reviewed Original ResearchMeSH KeywordsBiological OntologiesBiomedical ResearchComputational BiologyDatabases, FactualHumansMetadataSoftwareSystems IntegrationConceptsBiomedical data repositoriesHealth big dataData setsKnowledge discoveryBig dataMultiple repositoriesSearch enginesData indexFAIR principlesDataMedData repositoryService providersKnowledge initiativesKnowledge expertsBiomedical research communityResearch communityRepositoryScience landscapeUseful dataInteroperabilityMetadataFindabilitySetEngineData
2016
Genome privacy: challenges, technical approaches to mitigate risk, and ethical considerations in the United States
Wang S, Jiang X, Singh S, Marmor R, Bonomi L, Fox D, Dow M, Ohno‐Machado L. Genome privacy: challenges, technical approaches to mitigate risk, and ethical considerations in the United States. Annals Of The New York Academy Of Sciences 2016, 1387: 73-83. PMID: 27681358, PMCID: PMC5266631, DOI: 10.1111/nyas.13259.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsMeSH KeywordsComputational BiologyComputer SecurityData MiningGenetic PrivacyGenomicsHumansInformed ConsentMedical Record LinkageRisk ManagementUnited StatesConceptsData privacySensitive individual informationComputer science communityReal-world problemsUnauthorized partiesHuman genomic dataPrivacy breachesData accessData sharingData accessibilityConfidentiality protectionGenomic dataSpectrum of techniquesIndividual informationPrivacyScience communityPhenotype informationTechnical approachPotential solutionsCurrent common practiceBiomedical researchResearch purposesConfidentialityInformationSharing
2015
Alternative Polyadenylation Allows Differential Negative Feedback of Human miRNA miR-579 on Its Host Gene ZFR
Hinske L, Galante P, Limbeck E, Möhnle P, Parmigiani R, Ohno-Machado L, Camargo A, Kreth S. Alternative Polyadenylation Allows Differential Negative Feedback of Human miRNA miR-579 on Its Host Gene ZFR. PLOS ONE 2015, 10: e0121507. PMID: 25799583, PMCID: PMC4370670, DOI: 10.1371/journal.pone.0121507.Peer-Reviewed Original ResearchConceptsHost genesAlternative polyadenylationIntronic miRNAsMiR-579Protein-coding host genesPotential miRNA binding sitesHost gene expressionMiRNA binding sitesIntronic miRNAMiRNA genesNegative feedback loopRNA-seqPolyadenylation signalPolyadenylation sitesBioinformatics analysisCell line modelsGene expressionSilico analysisDifferential targetingPolyadenylationGenesMiRNAsZFRBinding sitesNegative feedback
2014
“Big Data” and the Electronic Health Record
Ross M, Wei W, Ohno-Machado L. “Big Data” and the Electronic Health Record. Yearbook Of Medical Informatics 2014, 23: 97-104. PMID: 25123728, PMCID: PMC4287068, DOI: 10.15265/iy-2014-0003.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsBig dataEHR systemsElectronic health record systemsHealth record systemsData miningElectronic health recordsData applicationsActionable knowledgeMassive numberAdditional keywordsNew keywordsSecondary useInformatics professionalsHealth recordsRecord systemKeywordsLarge amountPrivacyNext stepMiningSecurityEHRSystemImplementationDataMAGI: a Node.js web service for fast microRNA-Seq analysis in a GPU infrastructure
Kim J, Levy E, Ferbrache A, Stepanowsky P, Farcas C, Wang S, Brunner S, Bath T, Wu Y, Ohno-Machado L. MAGI: a Node.js web service for fast microRNA-Seq analysis in a GPU infrastructure. Bioinformatics 2014, 30: 2826-2827. PMID: 24907367, PMCID: PMC4173015, DOI: 10.1093/bioinformatics/btu377.Peer-Reviewed Original ResearchMeSH KeywordsComputational BiologyComputer GraphicsInternetMicroRNAsProgramming LanguagesSequence Analysis, RNASoftwareConceptsWeb servicesWeb reportsLarge input filesNovel feature extractionEnd performance improvementsExploration of resultsGPU infrastructureInteractive visualizationJavaScript frameworkParallel computingGPU devicesHypertext PreprocessorCUDA CFeature extractionDrop operationInput filesPlot generationSalient featuresPerformance improvementInfrastructureNodesServicesData analysisComputingBrowserGAMUT: GPU accelerated microRNA analysis to uncover target genes through CUDA-miRanda
Wang S, Kim J, Jiang X, Brunner S, Ohno-Machado L. GAMUT: GPU accelerated microRNA analysis to uncover target genes through CUDA-miRanda. BMC Medical Genomics 2014, 7: s9. PMID: 25077821, PMCID: PMC4101446, DOI: 10.1186/1755-8794-7-s1-s9.Peer-Reviewed Original ResearchConceptsCompute Unified Device ArchitectureGraphics processing unitsHigh performance computeParallel computingNVIDIA Compute Unified Device ArchitectureUnified Device ArchitectureMultiple test datasetsGiga cell updatesTimes performance gainsSmith-Waterman algorithmGPU developersSW implementationSource codeExecution timeGHz CPUIntel XeonLong reference sequencesProcessing unitTarget identification algorithmCell updatesTest datasetProjects/Such large scalePerformance gainsBiomedical research community
2013
Making it personal: translational bioinformatics
Butte A, Ohno-Machado L. Making it personal: translational bioinformatics. Journal Of The American Medical Informatics Association 2013, 20: 595-596. PMID: 23757438, PMCID: PMC3721179, DOI: 10.1136/amiajnl-2013-002028.Commentaries, Editorials and Letters
2012
SPLOOCE
Kroll J, Galante P, Ohara D, Navarro F, Ohno-Machado L, de Souza S. SPLOOCE. RNA Biology 2012, 9: 1339-1343. PMID: 23064119, PMCID: PMC3597574, DOI: 10.4161/rna.22182.Peer-Reviewed Original ResearchSetting Up an Intronic miRNA Database
Hinske L, Heyn J, Galante P, Ohno-Machado L, Kreth S. Setting Up an Intronic miRNA Database. Methods In Molecular Biology 2012, 936: 69-76. PMID: 23007499, DOI: 10.1007/978-1-62703-083-0_5.Peer-Reviewed Original ResearchConceptsAvailable information resourcesWeb-based toolInformation resourcesGenome-wide analysisHost gene transcriptionAnalysis techniquesIntergenic miRNAsIntragenic microRNAsWide analysisUseful analysis techniqueHost genesMiRNA databaseGene transcriptionMiRNA dataDifferent analysis techniquesMiRNAsSignificant attentionTranscriptionDatabaseMore informationRecent pastBasic structureTechniqueUnique linkageGenesBig science, big data, and a big role for biomedical informatics
Ohno-Machado L. Big science, big data, and a big role for biomedical informatics. Journal Of The American Medical Informatics Association 2012, 19: e1-e1. PMID: 22718034, PMCID: PMC3392845, DOI: 10.1136/amiajnl-2012-001052.Commentaries, Editorials and Letters
2011
Translational bioinformatics: linking knowledge across biological and clinical realms
Sarkar I, Butte A, Lussier Y, Tarczy-Hornoch P, Ohno-Machado L. Translational bioinformatics: linking knowledge across biological and clinical realms. Journal Of The American Medical Informatics Association 2011, 18: 354-357. PMID: 21561873, PMCID: PMC3128415, DOI: 10.1136/amiajnl-2011-000245.Commentaries, Editorials and LettersMeSH KeywordsComputational BiologyHuman Genome ProjectHumansInterprofessional RelationsMedical InformaticsTranslational Research, BiomedicalBiomedical informatics: how we got here and where we are headed
Ohno-Machado L. Biomedical informatics: how we got here and where we are headed. Journal Of The American Medical Informatics Association 2011, 18: 351-351. PMID: 21672903, PMCID: PMC3128422, DOI: 10.1136/amiajnl-2011-000363.Commentaries, Editorials and Letters
2010
DSGeo: Software tools for cross-platform analysis of gene expression data in GEO
Lacson R, Pitzer E, Kim J, Galante P, Hinske C, Ohno-Machado L. DSGeo: Software tools for cross-platform analysis of gene expression data in GEO. Journal Of Biomedical Informatics 2010, 43: 709-715. PMID: 20435161, PMCID: PMC2934864, DOI: 10.1016/j.jbi.2010.04.007.Peer-Reviewed Original ResearchConceptsAggregation of dataData loaderRelational databaseGene expression dataUser preferencesData browserData browsingCross-platform dataSoftware toolsSeamless integrationCross-platform analysisGroups of dataQueriesExpression dataPublic gene expression dataSpecific sample characteristicsLarge resourcesBrowserToolBrowsingAnnotatingUsersRetrievalApplicationsPlatform
2009
Towards large-scale sample annotation in gene expression repositories
Pitzer E, Lacson R, Hinske C, Kim J, Galante P, Ohno-Machado L. Towards large-scale sample annotation in gene expression repositories. BMC Bioinformatics 2009, 10: s9. PMID: 19761579, PMCID: PMC2745696, DOI: 10.1186/1471-2105-10-s9-s9.Peer-Reviewed Original ResearchEvaluation of a large-scale biomedical data annotation initiative
Lacson R, Pitzer E, Hinske C, Galante P, Ohno-Machado L. Evaluation of a large-scale biomedical data annotation initiative. BMC Bioinformatics 2009, 10: s10. PMID: 19761564, PMCID: PMC2745681, DOI: 10.1186/1471-2105-10-s9-s10.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsComputational BiologyDatabases, GeneticGene Expression ProfilingInformation Storage and Retrieval
2007
MODELING CANCER: INTEGRATION OF "OMICS" INFORMATION IN DYNAMIC SYSTEMS
STRANSKY B, BARRERA J, OHNO-MACHADO L, DE SOUZA S. MODELING CANCER: INTEGRATION OF "OMICS" INFORMATION IN DYNAMIC SYSTEMS. Journal Of Bioinformatics And Computational Biology 2007, 5: 977-986. PMID: 17787066, DOI: 10.1142/s0219720007002990.Peer-Reviewed Original Research
2006
Approximation properties of haplotype tagging
Vinterbo S, Dreiseitl S, Ohno-Machado L. Approximation properties of haplotype tagging. BMC Bioinformatics 2006, 7: 8. PMID: 16401341, PMCID: PMC1395335, DOI: 10.1186/1471-2105-7-8.Peer-Reviewed Original ResearchConceptsApproximation propertiesCombinatorial optimization problemsOptimization problemImplementable algorithmComputational effortSolution qualityTerms of complexitySimple algorithmSize m.Population membersSingle processor machineAlgorithmProblemAsymptoticsApproximationProcessor machineHaplotype taggingNPsUnique identification
2004
Research on machine learning issues in biomedical informatics modeling
Ohno-Machado L. Research on machine learning issues in biomedical informatics modeling. Journal Of Biomedical Informatics 2004, 37: 221-223. PMID: 15465475, DOI: 10.1016/j.jbi.2004.07.004.Commentaries, Editorials and LettersA primer on gene expression and microarrays for machine learning researchers
Kuo W, Kim E, Trimarchi J, Jenssen T, Vinterbo S, Ohno-Machado L. A primer on gene expression and microarrays for machine learning researchers. Journal Of Biomedical Informatics 2004, 37: 293-303. PMID: 15465482, DOI: 10.1016/j.jbi.2004.07.002.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsNew algorithmSupervised learning modelUCI machineLearning modelMicroarray data analysisAlgorithmic developmentsTypes of dataMachineData setsMain challengesGene expression dataMain motivationAlgorithmData analysisBiomedical experimentsLarge numberExpression dataMicroarray dataResearchersRepositoryWebMicroarray experimentsNew waveDataSet