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dc.contributor.authorAl-Saedi, Sakhaa
dc.contributor.authorHoehndorf, Robert
dc.date.accessioned2020-01-27T08:09:15Z
dc.date.available2020-01-27T08:09:15Z
dc.date.issued2020-1-20
dc.identifier.urihttp://hdl.handle.net/10754/661199
dc.description.abstract
dc.relation.urlhttps://epostersonline.com//dh2020/node/18
dc.titleImproving variant calling workflow by analyzing allele frequencies in a Saudi population to detect rare variants associated with disease
dc.typePoster
dc.contributor.departmentBio-Ontology Research Group (BORG)
dc.contributor.departmentComputational Bioscience Research Center (CBRC)
dc.contributor.departmentComputer Science Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.conference.dateJAN 20 - 22, 2020
dc.conference.nameDigital Health 2020
dc.conference.locationKAUST
dc.contributor.institution
kaust.personHoehndorf, Robert
refterms.dateFOA2020-01-27T08:09:15Z


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