2016
Protecting genomic data analytics in the cloud: state of the art and opportunities
Tang H, Jiang X, Wang X, Wang S, Sofia H, Fox D, Lauter K, Malin B, Telenti A, Xiong L, Ohno-Machado L. Protecting genomic data analytics in the cloud: state of the art and opportunities. BMC Medical Genomics 2016, 9: 63. PMID: 27733153, PMCID: PMC5062944, DOI: 10.1186/s12920-016-0224-3.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsHuman genomic dataSecure computation techniquesPublic cloud environmentSecure computation methodsGenomic data analyticsReal-world environmentsSecond Critical AssessmentSecure outsourcingCloud environmentCryptographic technologyPublic cloudSecure collaborationUnauthorized usersComputation tasksData privacyData analyticsBiomedical computingData scientistsComputational environmentGenomic dataWorld environmentComputation techniquesMultiple organizationsPractical algorithmPrivacy
2014
A community assessment of privacy preserving techniques for human genomes
Jiang X, Zhao Y, Wang X, Malin B, Wang S, Ohno-Machado L, Tang H. A community assessment of privacy preserving techniques for human genomes. BMC Medical Informatics And Decision Making 2014, 14: s1. PMID: 25521230, PMCID: PMC4290799, DOI: 10.1186/1472-6947-14-s1-s1.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsBiomedical dataPrivacy preserving techniquesPrivacy protection techniquesData privacyBiomedical computingHuman genomic dataData donorsDissemination techniquesPersonal Genome ProjectRaw dataProtection techniquesRigorous protectionPrivacyGenomic dataFinal resultsComputingCommunity effortsAnalysis outcomesChallengesTechniqueDataProject
2013
Genomes in the cloud: balancing privacy rights and the public good.
Ohno-Machado L, Farcas C, Kim J, Wang S, Jiang X. Genomes in the cloud: balancing privacy rights and the public good. AMIA Joint Summits On Translational Science Proceedings 2013, 2013: 128. PMID: 24303320.Peer-Reviewed Original Research
2012
iDASH: integrating data for analysis, anonymization, and sharing
Ohno-Machado L, Bafna V, Boxwala A, Chapman B, Chapman W, Chaudhuri K, Day M, Farcas C, Heintzman N, Jiang X, Kim H, Kim J, Matheny M, Resnic F, Vinterbo S, team A. iDASH: integrating data for analysis, anonymization, and sharing. Journal Of The American Medical Informatics Association 2012, 19: 196-201. PMID: 22081224, PMCID: PMC3277627, DOI: 10.1136/amiajnl-2011-000538.Commentaries, Editorials and LettersConceptsHigh-performance computing environmentPrivacy-preserving mannerCollaborative tool developmentData-sharing capabilitiesData ownersComputing environmentData consumersBiomedical computingHealth Insurance PortabilityTechnology researchTool developmentAccountability ActBiological projectsBiological dataInsurance PortabilityAnonymizationComputingPortabilityBehavioral researchersAlgorithmSoftwareCloudNew National CenterDataCapability