Pérez-Reche, Francisco J.Rotariu, OvidiuLopes, Bruno S.Forbes, Ken J.Strachan, Norval J.C.2020-07-232020-07-232020-07-22Pérez-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/s41598-020-68740-62045-2322https://hdl.handle.net/2164/14762Acknowledgements: 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 A13559368.163746626engSDG 3 - Good Health and Well-beingBacterial evolutionEvolutionary geneticsPopulation geneticsScientific dataMULTILOCUS GENOTYPESINFECTIONSLOCIINFERENCEADMIXTUREANCESTRYDIVERSITYSELECTIONASSIGNMENT TESTSENTROPYQC PhysicsGeneralOtherFSS00017Rural and Environmental Science and Analytical Services (RESAS)A13559368.Supplementary DataQCMining whole genome sequence data to efficiently attribute individuals to source populationsJournal article10.1038/s41598-020-68740-6http://www.scopus.com/inward/record.url?scp=85088381352&partnerID=8YFLogxK101