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Mining whole genome sequence data to efficiently attribute individuals to source populations

dc.contributor.authorPérez-Reche, Francisco J.
dc.contributor.authorRotariu, Ovidiu
dc.contributor.authorLopes, Bruno S.
dc.contributor.authorForbes, Ken J.
dc.contributor.authorStrachan, Norval J.C.
dc.date.accessioned2020-07-23T11:20:01Z
dc.date.available2020-07-23T11:20:01Z
dc.date.issued2020-07-22
dc.identifier.citationPérez-Reche , F J , Rotariu , O , Lopes , B S , Forbes , K J & Strachan , N J C 2020 , ' Mining whole genome sequence data to efficiently attribute individuals to source populations ' , Scientific Reports , vol. 10 , no. 1 , 12124 , pp. 12124 . https://doi.org/10.1038/s41598-020-68740-6en
dc.identifier.issn2045-2322
dc.identifier.otherPURE: 172546191
dc.identifier.otherPURE UUID: 5048ac72-b076-4a79-9004-19945753dccf
dc.identifier.otherScopus: 85088381352
dc.identifier.otherPubMed: 32699222
dc.identifier.otherScopus: 85088381352
dc.identifier.otherWOS: 000556388700001
dc.identifier.urihttps://hdl.handle.net/2164/14762
dc.descriptionAcknowledgements: The Campylobacter work in this project was supported by Food Standards Scotland project FSS00017 and the Scottish Government (Rural and Environment Science and Analytical Services Division) project A13559368.en
dc.format.extent16
dc.language.isoeng
dc.relation.ispartofScientific Reportsen
dc.rightsOpen Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.en
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectBacterial evolutionen
dc.subjectEvolutionary geneticsen
dc.subjectPopulation geneticsen
dc.subjectScientific dataen
dc.subjectMULTILOCUS GENOTYPESen
dc.subjectINFECTIONSen
dc.subjectLOCIen
dc.subjectINFERENCEen
dc.subjectADMIXTUREen
dc.subjectANCESTRYen
dc.subjectDIVERSITYen
dc.subjectSELECTIONen
dc.subjectASSIGNMENT TESTSen
dc.subjectENTROPYen
dc.subjectQC Physicsen
dc.subjectGeneralen
dc.subjectOtheren
dc.subjectFSS00017en
dc.subjectRural and Environmental Science and Analytical Services (RESAS)en
dc.subjectA13559368.en
dc.subjectSupplementary Dataen
dc.subject.lccQCen
dc.titleMining whole genome sequence data to efficiently attribute individuals to source populationsen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Institute for Complex Systems and Mathematical Biology (ICSMB)en
dc.contributor.institutionUniversity of Aberdeen.Physicsen
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Aberdeen Centre for Arthritis and Musculoskeletal Health (ACAMH)en
dc.contributor.institutionUniversity of Aberdeen.Medicine, Medical Sciences & Nutritionen
dc.contributor.institutionUniversity of Aberdeen.Applied Medicineen
dc.contributor.institutionUniversity of Aberdeen.Environment and Food Securityen
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.1038/s41598-020-68740-6
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85088381352&partnerID=8YFLogxKen
dc.identifier.vol10en
dc.identifier.iss1en


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