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Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/12395
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dc.contributor.authorPetrovski, Slavéen
dc.contributor.authorGoldstein, David Ben
dc.date.accessioned2015-05-16T02:05:22Z
dc.date.available2015-05-16T02:05:22Z
dc.date.issued2014-09-17en
dc.identifier.citationScience Translational Medicine; 6(254): 254fs35en
dc.identifier.govdoc25232173en
dc.identifier.otherPUBMEDen
dc.identifier.urihttp://ahro.austin.org.au/austinjspui/handle/1/12395en
dc.description.abstractIn contemporary genomics research, phenotype-driven bioinformatics approaches hint at the potential of establishing a framework for quantifying phenotypic similarities among patients (Zemojtel et al., issue 252).en
dc.language.isoenen
dc.titlePhenomics and the interpretation of personal genomes.en
dc.typeJournal Articleen
dc.identifier.journaltitleScience translational medicineen
dc.identifier.affiliationDepartment of Medicine, The University of Melbourne, Austin Health and Royal Melbourne Hospital, Melbourne, Victoria 3050, Australiaen
dc.identifier.affiliationCenter for Human Genome Variation, Duke University School of Medicine, Durham, NC, 27708, USAen
dc.identifier.affiliationslave.petrovski@duke.edu d.goldstein@duke.edu.en
dc.identifier.doi10.1126/scitranslmed.3010272en
dc.description.pages254fs35en
dc.relation.urlhttps://pubmed.ncbi.nlm.nih.gov/25232173en
dc.type.austinJournal Articleen
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.languageiso639-1en-
item.openairetypeJournal Article-
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