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In-silico evaluation based on public data: In search of forensically efficient tri- and tetrallelic X-SNPs.
Prieto-Fernández, Endika; Kleinbielen, Tamara; Baeta, Miriam; de Pancorbo, Marian M.
Affiliation
  • Prieto-Fernández E; BIOMICs Research Group, Lascaray Research Center, University of the Basque Country UPV/EHU, Avda. Miguel de Unamuno, 3, 01006 Vitoria-Gasteiz, Spain.
  • Kleinbielen T; BIOMICs Research Group, Lascaray Research Center, University of the Basque Country UPV/EHU, Avda. Miguel de Unamuno, 3, 01006 Vitoria-Gasteiz, Spain.
  • Baeta M; BIOMICs Research Group, Lascaray Research Center, University of the Basque Country UPV/EHU, Avda. Miguel de Unamuno, 3, 01006 Vitoria-Gasteiz, Spain.
  • de Pancorbo MM; BIOMICs Research Group, Lascaray Research Center, University of the Basque Country UPV/EHU, Avda. Miguel de Unamuno, 3, 01006 Vitoria-Gasteiz, Spain. Electronic address: marian.mdepancorbo@ehu.eus.
Forensic Sci Int Genet ; 32: e5-e6, 2018 01.
Article in En | MEDLINE | ID: mdl-29162489
Subject(s)
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Full text: 1 Database: MEDLINE Main subject: Genetic Markers / Polymorphism, Single Nucleotide / Chromosomes, Human, X / Forensic Genetics / Gene Frequency / Genetics, Population Limits: Female / Humans / Male Language: En Journal: Forensic Sci Int Genet Journal subject: GENETICA / JURISPRUDENCIA Year: 2018 Type: Article Affiliation country: Spain
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Full text: 1 Database: MEDLINE Main subject: Genetic Markers / Polymorphism, Single Nucleotide / Chromosomes, Human, X / Forensic Genetics / Gene Frequency / Genetics, Population Limits: Female / Humans / Male Language: En Journal: Forensic Sci Int Genet Journal subject: GENETICA / JURISPRUDENCIA Year: 2018 Type: Article Affiliation country: Spain