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 popularityMechanisms to protect the privacy of families when using the transmission disequilibrium test in genome-wide association studies
Wang M, Ji Z, Wang S, Kim J, Yang H, Jiang X, Ohno-Machado L. Mechanisms to protect the privacy of families when using the transmission disequilibrium test in genome-wide association studies. Bioinformatics 2017, 33: 3716-3725. PMID: 29036461, PMCID: PMC5860319, DOI: 10.1093/bioinformatics/btx470.Peer-Reviewed Original Research
2016
PRINCESS: Privacy-protecting Rare disease International Network Collaboration via Encryption through Software guard extensionS
Chen F, Wang S, Jiang X, Ding S, Lu Y, Kim J, Sahinalp S, Shimizu C, Burns J, Wright V, Png E, Hibberd M, Lloyd D, Yang H, Telenti A, Bloss C, Fox D, Lauter K, Ohno-Machado L. PRINCESS: Privacy-protecting Rare disease International Network Collaboration via Encryption through Software guard extensionS. Bioinformatics 2016, 33: 871-878. PMID: 28065902, PMCID: PMC5860394, DOI: 10.1093/bioinformatics/btw758.Peer-Reviewed Original ResearchConceptsSoftware Guard ExtensionsHomomorphic encryptionDistributed ComputationCollaboration frameworkTrustworthy computationCollaboration modelSupplementary dataNetwork collaborationEncryptionExperimental resultsHealth informationAlternative solutionComputationInternational collaboration frameworkHardwareAccurate analysisPerformanceBioinformaticsImplementationFrameworkDataExtensionInformationCollaboration
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
2013
DNA-COMPACT: DNA COMpression Based on a Pattern-Aware Contextual Modeling Technique
Li P, Wang S, Kim J, Xiong H, Ohno-Machado L, Jiang X. DNA-COMPACT: DNA COMpression Based on a Pattern-Aware Contextual Modeling Technique. PLOS ONE 2013, 8: e80377. PMID: 24282536, PMCID: PMC3840021, DOI: 10.1371/journal.pone.0080377.Peer-Reviewed Original ResearchConceptsReference-free compressionDisk storage capacityCompression algorithmDecompression costData transferringArt algorithmsCompression performanceFile sizeGenome compressionCompression rateBit rateAlgorithmDNA compressionBiomedical researchersPerformance advantagesGenome dataModeling techniquesContextual modelImportant concernResearch purposesCompressionPerformanceStorage capacityBitsReference sequence
2011
AnyExpress: Integrated toolkit for analysis of cross-platform gene expression data using a fast interval matching algorithm
Kim J, Patel K, Jung H, Kuo W, Ohno-Machado L. AnyExpress: Integrated toolkit for analysis of cross-platform gene expression data using a fast interval matching algorithm. BMC Bioinformatics 2011, 12: 75. PMID: 21410990, PMCID: PMC3076267, DOI: 10.1186/1471-2105-12-75.Peer-Reviewed Original Research
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 Research