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dc.contributor.authorOellrich, Anika
dc.contributor.authorCollier, Nigel
dc.contributor.authorGroza, Tudor
dc.contributor.authorRebholz-Schuhmann, Dietrich
dc.contributor.authorShah, Nigam
dc.contributor.authorBodenreider, Olivier
dc.contributor.authorBoland, Mary Regina
dc.contributor.authorGeorgiev, Ivo
dc.contributor.authorLiu, Hongfang
dc.contributor.authorLivingston, Kevin
dc.contributor.authorLuna, Augustin
dc.contributor.authorMallon, Ann-Marie
dc.contributor.authorManda, Prashanti
dc.contributor.authorRobinson, Peter N.
dc.contributor.authorRustici, Gabriella
dc.contributor.authorSimon, Michelle
dc.contributor.authorWang, Liqin
dc.contributor.authorWinnenburg, Rainer
dc.contributor.authorDumontier, Michel
dc.date.accessioned2018-09-20T16:20:38Z
dc.date.available2018-09-20T16:20:38Z
dc.date.issued2015-09-29
dc.identifier.citationOellrich, Anika; Collier, Nigel; Groza, Tudor; Rebholz-Schuhmann, Dietrich; Shah, Nigam; Bodenreider, Olivier; Boland, Mary Regina; Georgiev, Ivo; Liu, Hongfang; Livingston, Kevin; Luna, Augustin; Mallon, Ann-Marie; Manda, Prashanti; Robinson, Peter N. Rustici, Gabriella; Simon, Michelle; Wang, Liqin; Winnenburg, Rainer; Dumontier, Michel (2015). The digital revolution in phenotyping. Briefings in Bioinformatics 17 (5), 819-830
dc.identifier.issn1467-5463,1477-4054
dc.identifier.urihttp://hdl.handle.net/10379/13335
dc.description.abstractPhenotypes have gained increased notoriety in the clinical and biological domain owing to their application in numerous areas such as the discovery of disease genes and drug targets, phylogenetics and pharmacogenomics. Phenotypes, defined as observable characteristics of organisms, can be seen as one of the bridges that lead to a translation of experimental findings into clinical applications and thereby support 'bench to bedside' efforts. However, to build this translational bridge, a common and universal understanding of phenotypes is required that goes beyond domain-specific definitions. To achieve this ambitious goal, a digital revolution is ongoing that enables the encoding of data in computer-readable formats and the data storage in specialized repositories, ready for integration, enabling translational research. While phenome research is an ongoing endeavor, the true potential hidden in the currently available data still needs to be unlocked, offering exciting opportunities for the forthcoming years. Here, we provide insights into the state-of-the-art in digital phenotyping, by means of representing, acquiring and analyzing phenotype data. In addition, we provide visions of this field for future research work that could enable better applications of phenotype data.
dc.publisherOxford University Press (OUP)
dc.relation.ispartofBriefings in Bioinformatics
dc.subjectphenomics
dc.subjectphenotypes
dc.subjectacquisition
dc.subjectinteroperability
dc.subjectsemantic representation
dc.subjectknowledge discovery
dc.subjectmodel organism database
dc.subjectgenome-wide association
dc.subjectpharmacogenetics knowledge
dc.subjectclinical text
dc.subjecthuman phenome
dc.subjectgene-function
dc.subjectontologies
dc.subjectresource
dc.subjectdisease
dc.subjectinformation
dc.titleThe digital revolution in phenotyping
dc.typeArticle
dc.identifier.doi10.1093/bib/bbv083
dc.local.publishedsourcehttps://academic.oup.com/bib/article-pdf/17/5/819/6686339/bbv083.pdf
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