University of Aberdeen logo

AURA - Aberdeen University Research Archive

 

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

Simple item page
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.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.date.accessioned2020-07-23T11:20:01Z
dc.date.available2020-07-23T11:20:01Z
dc.date.issued2020-07-22
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.description.statusPeer revieweden
dc.format.extent16
dc.format.extent3746626
dc.identifier172546191
dc.identifier5048ac72-b076-4a79-9004-19945753dccf
dc.identifier85088381352
dc.identifier32699222
dc.identifier85088381352
dc.identifier000556388700001
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.doi10.1038/s41598-020-68740-6
dc.identifier.iss1en
dc.identifier.issn2045-2322
dc.identifier.urihttps://hdl.handle.net/2164/14762
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85088381352&partnerID=8YFLogxKen
dc.identifier.vol10en
dc.language.isoeng
dc.relation.ispartofScientific Reportsen
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

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
P_rez_et_al_SR_MiningWholeGenome_VoR.pdf
Size:
3.57 MB
Format:
Adobe Portable Document Format
Download

Collections

All research