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postgraduate thesis: Optimization and evaluation of a rapid high-resolution HLA typing method by MinION Oxford nanopore technologies for deceased donor organ allocation

TitleOptimization and evaluation of a rapid high-resolution HLA typing method by MinION Oxford nanopore technologies for deceased donor organ allocation
Authors
Law, Yan Ki羅欣祺
Issue Date2021
PublisherThe University of Hong Kong (Pokfulam, Hong Kong)
Citation
Law, Y. K. [羅欣祺]. (2021). Optimization and evaluation of a rapid high-resolution HLA typing method by MinION Oxford nanopore technologies for deceased donor organ allocation. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.
DegreeMaster of Medical Sciences
SubjectHLA histocompatibility antigens - Analysis
Histocompatibility testing
Dept/ProgramPathology
Persistent Identifierhttp://hdl.handle.net/10722/309632

 

DC FieldValueLanguage
dc.contributor.authorLaw, Yan Ki-
dc.contributor.author羅欣祺-
dc.date.accessioned2022-01-05T14:57:14Z-
dc.date.available2022-01-05T14:57:14Z-
dc.date.issued2021-
dc.identifier.citationLaw, Y. K. [羅欣祺]. (2021). Optimization and evaluation of a rapid high-resolution HLA typing method by MinION Oxford nanopore technologies for deceased donor organ allocation. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.-
dc.identifier.urihttp://hdl.handle.net/10722/309632-
dc.languageeng-
dc.publisherThe University of Hong Kong (Pokfulam, Hong Kong)-
dc.relation.ispartofHKU Theses Online (HKUTO)-
dc.rightsThe author retains all proprietary rights, (such as patent rights) and the right to use in future works.-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subject.lcshHLA histocompatibility antigens - Analysis-
dc.subject.lcshHistocompatibility testing-
dc.titleOptimization and evaluation of a rapid high-resolution HLA typing method by MinION Oxford nanopore technologies for deceased donor organ allocation-
dc.typePG_Thesis-
dc.description.thesisnameMaster of Medical Sciences-
dc.description.thesislevelMaster-
dc.description.thesisdisciplinePathology-
dc.description.naturepublished_or_final_version-
dc.date.hkucongregation2021-
dc.identifier.mmsid991044440941403414-

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