A semi-automatic methodology for analysing distributed and private biobanks

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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

Title: A semi-automatic methodology for analysing distributed and private biobanks
Author: Almeida, Joao Rafael; Pratas, Diogo; Oliveira, Jose Luis
Contributor organization: Department of Virology
University of Helsinki
Date: 2021-03
Language: eng
Number of pages: 8
Belongs to series: Computers in Biology and Medicine
ISSN: 0010-4825
DOI: https://doi.org/10.1016/j.compbiomed.2020.104180
URI: http://hdl.handle.net/10138/330716
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.
Subject: Genomics studies
Distributed biobanks
Genomics cross-exploration
Coronavirus 2
Secondary use
3111 Biomedicine
Peer reviewed: Yes
Rights: cc_by_nc_nd
Usage restriction: openAccess
Self-archived version: publishedVersion

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