A semi-automatic methodology for analysing distributed and private biobanks

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dc.contributor.author Almeida, Joao Rafael
dc.contributor.author Pratas, Diogo
dc.contributor.author Oliveira, Jose Luis
dc.date.accessioned 2021-06-08T05:57:01Z
dc.date.available 2021-06-08T05:57:01Z
dc.date.issued 2021-03
dc.identifier.citation Almeida , J R , Pratas , D & Oliveira , J L 2021 , ' A semi-automatic methodology for analysing distributed and private biobanks ' , Computers in Biology and Medicine , vol. 130 , 104180 . https://doi.org/10.1016/j.compbiomed.2020.104180
dc.identifier.other PURE: 164797927
dc.identifier.other PURE UUID: 694d7f3f-1a51-4692-9610-ea991294b7c1
dc.identifier.other WOS: 000623917000005
dc.identifier.uri http://hdl.handle.net/10138/330716
dc.description.abstract Privacy issues limit the analysis and cross-exploration of most distributed and private biobanks, often raised by the multiple dimensionality and sensitivity of the data associated with access restrictions and policies. These characteristics prevent collaboration between entities, constituting a barrier to emergent personalized and public health challenges, namely the discovery of new druggable targets, identification of disease-causing genetic variants, or the study of rare diseases. In this paper, we propose a semi-automatic methodology for the analysis of distributed and private biobanks. The strategies involved in the proposed methodology efficiently enable the creation and execution of unified genomic studies using distributed repositories, without compromising the information present in the datasets. We apply the methodology to a case study in the current Covid-19, ensuring the combination of the diagnostics from multiple entities while maintaining privacy through a completely identical procedure. Moreover, we show that the methodology follows a simple, intuitive, and practical scheme. en
dc.format.extent 8
dc.language.iso eng
dc.relation.ispartof Computers in Biology and Medicine
dc.rights cc_by_nc_nd
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject Genomics studies
dc.subject Distributed biobanks
dc.subject Genomics cross-exploration
dc.subject Coronavirus 2
dc.subject SARS-CoV-2
dc.subject Secondary use
dc.subject 3111 Biomedicine
dc.title A semi-automatic methodology for analysing distributed and private biobanks en
dc.type Article
dc.contributor.organization Department of Virology
dc.contributor.organization University of Helsinki
dc.description.reviewstatus Peer reviewed
dc.relation.doi https://doi.org/10.1016/j.compbiomed.2020.104180
dc.relation.issn 0010-4825
dc.rights.accesslevel openAccess
dc.type.version publishedVersion

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