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Inference of Ancestry in Forensic Analysis II: Analysis of Genetic Data.
Santos, Carla; Phillips, Chris; Gomez-Tato, A; Alvarez-Dios, J; Carracedo, Ángel; Lareu, Maria Victoria.
Afiliación
  • Santos C; Forensic Genetics Unit, Luis Concheiro Institute of Forensic Sciences, Genomic Medicine Group, University of Santiago de Compostela, Galicia, 15782, Spain. carla.arcanjo.santos@gmail.com.
  • Phillips C; Forensic Genetics Unit, Luis Concheiro Institute of Forensic Sciences, Genomic Medicine Group, University of Santiago de Compostela, Galicia, 15782, Spain.
  • Gomez-Tato A; Faculty of Mathematics, University of Santiago de Compostela, Galicia, Spain.
  • Alvarez-Dios J; Faculty of Mathematics, University of Santiago de Compostela, Galicia, Spain.
  • Carracedo Á; Forensic Genetics Unit, Luis Concheiro Institute of Forensic Sciences, Genomic Medicine Group, University of Santiago de Compostela, Galicia, 15782, Spain.
  • Lareu MV; Center of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah, Saudi Arabia.
Methods Mol Biol ; 1420: 255-85, 2016.
Article en En | MEDLINE | ID: mdl-27259745
ABSTRACT
Three approaches applicable to the analysis of forensic ancestry-informative marker data-STRUCTURE, principal component analysis, and the Snipper Bayesian classification system-are reviewed. Detailed step-by-step guidance is provided for adjusting parameter settings in STRUCTURE with particular regard to their effect when differentiating populations. Several enhancements to the Snipper online forensic classification portal are described, highlighting the added functionality they bring to particular aspects of ancestry-informative SNP analysis in a forensic context.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Genética Forense Límite: Humans Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2016 Tipo del documento: Article País de afiliación: España
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Genética Forense Límite: Humans Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2016 Tipo del documento: Article País de afiliación: España