2021
Comparing Host Module Activation Patterns and Temporal Dynamics in Infection by Influenza H1N1 Viruses
Nudelman I, Kudrin D, Nudelman G, Deshpande R, Hartmann BM, Kleinstein SH, Myers CL, Sealfon SC, Zaslavsky E. Comparing Host Module Activation Patterns and Temporal Dynamics in Infection by Influenza H1N1 Viruses. Frontiers In Immunology 2021, 12: 691758. PMID: 34335598, PMCID: PMC8317020, DOI: 10.3389/fimmu.2021.691758.Peer-Reviewed Original ResearchConceptsDifferent virus strainsHost responseVirus strainsInfluenza virus infectionSerious global health threatInfluenza H1N1 virusCommon core responseGlobal health threatH1N1 virusVirus infectionImmune responseInfluenza strainsTherapeutic targetInfluenza virusHealth threatInfectionActivation patternsDifferent virusesDifferent temporal patternsVirusHost cellsFunctional networksFunctional pathwaysSame cellular pathwaysCellular pathways
2019
Identification of Subject-Specific Immunoglobulin Alleles From Expressed Repertoire Sequencing Data
Gadala-Maria D, Gidoni M, Marquez S, Vander Heiden J, Kos JT, Watson CT, O'Connor KC, Yaari G, Kleinstein SH. Identification of Subject-Specific Immunoglobulin Alleles From Expressed Repertoire Sequencing Data. Frontiers In Immunology 2019, 10: 129. PMID: 30814994, PMCID: PMC6381938, DOI: 10.3389/fimmu.2019.00129.Peer-Reviewed Original Research
2018
Optimized Threshold Inference for Partitioning of Clones From High-Throughput B Cell Repertoire Sequencing Data
Nouri N, Kleinstein SH. Optimized Threshold Inference for Partitioning of Clones From High-Throughput B Cell Repertoire Sequencing Data. Frontiers In Immunology 2018, 9: 1687. PMID: 30093903, PMCID: PMC6070604, DOI: 10.3389/fimmu.2018.01687.Peer-Reviewed Original ResearchCEDAR OnDemand: a browser extension to generate ontology-based scientific metadata
Bukhari SAC, Martínez-Romero M, O’ Connor M, Egyedi AL, Willrett D, Graybeal J, Musen MA, Cheung KH, Kleinstein SH. CEDAR OnDemand: a browser extension to generate ontology-based scientific metadata. BMC Bioinformatics 2018, 19: 268. PMID: 30012108, PMCID: PMC6048706, DOI: 10.1186/s12859-018-2247-6.Peer-Reviewed Original ResearchConceptsMetadata entriesBrowser extensionWeb formsData repositoryOntology-based metadataWeb page contentBiomedical data repositoriesWeb-based interfacePage contentPublic data repositoriesRelevant ontologiesHTML formatSource datasetIndividual repositoriesNCBO BioPortalCollected metadataExperimental metadataScientific metadataMetadataOndemandPre-defined listOntologyRepositoryInput fieldDataset
2015
Interactive Big Data Resource to Elucidate Human Immune Pathways and Diseases
Gorenshteyn D, Zaslavsky E, Fribourg M, Park CY, Wong AK, Tadych A, Hartmann BM, Albrecht RA, García-Sastre A, Kleinstein SH, Troyanskaya OG, Sealfon SC. Interactive Big Data Resource to Elucidate Human Immune Pathways and Diseases. Immunity 2015, 43: 605-614. PMID: 26362267, PMCID: PMC4753773, DOI: 10.1016/j.immuni.2015.08.014.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsBayes TheoremComputational BiologyGene Regulatory NetworksHost-Pathogen InteractionsHumansImmune SystemImmune System DiseasesInternetProtein Interaction MappingProtein Interaction MapsReproducibility of ResultsSignal TransductionSupport Vector MachineTranscriptomeVirus DiseasesConceptsPublic high-throughput dataGenome-scale experimentsDisease-associated genesHigh-throughput datasetsHigh-throughput dataData-driven hypothesesGenetic studiesImmune pathwaysGenesImmunological diseasesFunctional relationshipBiomedical research effortsImportant interactionsMolecular entitiesImmune systemHuman immune systemProteinExponential growthPathwayData resourcesBayesian integrationRelevant insightsGrowthCompendiumIdentification
2006
Mutation parameters from DNA sequence data using graph theoretic measures on lineage trees
Magori-Cohen R, Louzoun Y, Kleinstein SH. Mutation parameters from DNA sequence data using graph theoretic measures on lineage trees. Bioinformatics 2006, 22: e332-e340. PMID: 16873490, DOI: 10.1093/bioinformatics/btl239.Peer-Reviewed Original ResearchConceptsLineage treesDNA sequencesDNA sequence dataSomatic hypermutationMaximum likelihood analysisTree shapeBioinformatics methodsSequence dataLethal mutationsMutation rateNumber of generationsLikelihood analysisMutation parametersB cellsSynthetic treeClonal expansionTreesSequenceMutationsHypermutationAffinity maturationCellsImportant linkClonesUnexpected locations