{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T17:00:04Z","timestamp":1773939604989,"version":"3.50.1"},"reference-count":8,"publisher":"Oxford University Press (OUP)","issue":"19","license":[{"start":{"date-parts":[[2017,8,2]],"date-time":"2017-08-02T00:00:00Z","timestamp":1501632000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/about_us\/legal\/notices"}],"funder":[{"DOI":"10.13039\/501100001732","name":"Danish National Research Foundation","doi-asserted-by":"publisher","award":["DNRF94"],"award-info":[{"award-number":["DNRF94"]}],"id":[{"id":"10.13039\/501100001732","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,10,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Motivation<\/jats:title>\n                  <jats:p>Estimation of admixture proportions and principal component analysis (PCA) are fundamental tools in populations genetics. However, applying these methods to low- or mid-depth sequencing data without taking genotype uncertainty into account can introduce biases.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Here we present fastNGSadmix, a tool to fast and reliably estimate admixture proportions and perform PCA from next generation sequencing data of a single individual. The analyses are based on genotype likelihoods of the input sample and a set of predefined reference populations. The method has high accuracy, even at low sequencing depth and corrects for the biases introduced by small reference populations.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and implementation<\/jats:title>\n                  <jats:p>The admixture estimation method is implemented in C\u2009++ and the PCA method is implemented in R. The code is freely available at http:\/\/www.popgen.dk\/software\/index.php\/FastNGSadmix<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Supplementary information<\/jats:title>\n                  <jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btx474","type":"journal-article","created":{"date-parts":[[2017,8,1]],"date-time":"2017-08-01T11:19:46Z","timestamp":1501586386000},"page":"3148-3150","source":"Crossref","is-referenced-by-count":52,"title":["fastNGSadmix: admixture proportions and principal component analysis of a single NGS sample"],"prefix":"10.1093","volume":"33","author":[{"given":"Emil","family":"J\u00f8rsboe","sequence":"first","affiliation":[{"name":"Department of Biology, The Bioinformatics Centre, University of Copenhagen, Copenhagen N, Denmark"}]},{"given":"Kristian","family":"Hangh\u00f8j","sequence":"additional","affiliation":[{"name":"Center for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen K, Denmark"},{"name":"Universit\u00e9 de Toulouse, University Paul Sabatier (UPS), Laboratoire AMIS, CNRS UMR, Toulouse, France"}]},{"given":"Anders","family":"Albrechtsen","sequence":"additional","affiliation":[{"name":"Department of Biology, The Bioinformatics Centre, University of Copenhagen, Copenhagen N, Denmark"}]}],"member":"286","published-online":{"date-parts":[[2017,8,2]]},"reference":[{"key":"2023020206464031900_btx474-B1","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1186\/s12859-014-0418-7","article-title":"Fast individual ancestry inference from DNA sequence data leveraging allele frequencies for multiple populations","volume":"16","author":"Bansal","year":"2015","journal-title":"BMC 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