2017
PinAPL-Py: A comprehensive web-application for the analysis of CRISPR/Cas9 screens
Spahn P, Bath T, Weiss R, Kim J, Esko J, Lewis N, Harismendy O. PinAPL-Py: A comprehensive web-application for the analysis of CRISPR/Cas9 screens. Scientific Reports 2017, 7: 15854. PMID: 29158538, PMCID: PMC5696473, DOI: 10.1038/s41598-017-16193-9.Peer-Reviewed Original ResearchConceptsCRISPR/Large-scale genetic screensCRISPR/Cas9Publication-ready plotsSequence quality controlPlatform-independent analysisUser-friendly implementationLarge sequencing datasetsGenetic screenAnalysis optionsFunctional genomicsPooled screensSgRNA libraryBioinformatics toolsSequencing datasetsComprehensive functionalityExperimental biologistsBioinformatics expertiseArt toolsCustom libraryLimited functionalityTest datasetSequence extractionGene rankingIncreased popularity
2016
Personas in online health communities
Huh J, Kwon B, Kim S, Lee S, Choo J, Kim J, Choi M, Yi J. Personas in online health communities. Journal Of Biomedical Informatics 2016, 63: 212-225. PMID: 27568913, PMCID: PMC5268468, DOI: 10.1016/j.jbi.2016.08.019.Peer-Reviewed Original Research
2014
MAGI: 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 ResearchConceptsWeb servicesWeb reportsLarge input filesNovel feature extractionEnd performance improvementsExploration of resultsGPU infrastructureInteractive visualizationJavaScript frameworkParallel computingGPU devicesHypertext PreprocessorCUDA CFeature extractionDrop operationInput filesPlot generationSalient featuresPerformance improvementInfrastructureNodesServicesData analysisComputingBrowser
2011
Full impact of laboratory information system requires direct use by clinical staff: cluster randomized controlled trial
Blaya J, Shin S, Contreras C, Yale G, Suarez C, Asencios L, Kim J, Rodriguez P, Cegielski P, Fraser H. Full impact of laboratory information system requires direct use by clinical staff: cluster randomized controlled trial. Journal Of The American Medical Informatics Association 2011, 18: 11-16. PMID: 21113076, PMCID: PMC3005868, DOI: 10.1136/jamia.2010.005280.Peer-Reviewed Original ResearchConceptsPeripheral health centresDrug susceptibility testHealth centersIntervention groupControl groupElectronic laboratory reportingE-ChasquiCare accessClinical staffCulture resultsLaboratory reportingHealth establishmentsSusceptibility testsLaboratory information systemBaseline dataTrialsLaboratory resultsMonthsLower proportionGroupPaper-based systemProportion