Wildlife forensics:"Supervised" assignment testing can complicate the association of suspect cases to source populations

Forensic Science International: Genetics

Volumn 5, Issue 1, 2011, Pages 50-56

  Ball, M C ^a   Finnegan, L A ^b   Nette, T ^c   Broders, H G ^d   Wilson, P J ^b  

^a ALBERTA ENVIRONMENT AND PARKS   (Canada)

^b TRENT UNIVERSITY   (Canada)

^c NOVA SCOTIA DEPARTMENT OF NATURAL RESOURCES   (Canada)

^d SAINT MARY S UNIVERSITY   (Canada)

Author keywords

Geographic origin; Microsatellites; Moose; Population assignment; Structure; Wildlife forensics

Indexed keywords

ANIMAL TISSUE; ANIMAL WELFARE; ARTICLE; BAYESIAN LEARNING; CANADA; COMPUTER PROGRAM; CONTROLLED STUDY; DATA BASE; ENDANGERED SPECIES; FORENSIC IDENTIFICATION; FORENSIC SCIENCE; GENE ASSIGNMENT; GENE CLUSTER; GENE FREQUENCY; GENE LOCUS; GENETIC ANALYSIS; GENOTYPE; GEOGRAPHIC DISTRIBUTION; HETEROZYGOSITY; MOOSE; NONHUMAN; POPULATION GENETIC STRUCTURE; PRIORITY JOURNAL; SUPERVISED MODELLING APPROACH; UNSUPERVISED MODELLING APPROACH; WILDLIFE;

ANIMALS; ANIMALS, WILD; BAYES THEOREM; CLUSTER ANALYSIS; DATABASES, FACTUAL; DEER; DNA; ENDANGERED SPECIES; FEMALE; FORENSIC SCIENCES; GENE FREQUENCY; GENETIC TESTING; GENETICS, POPULATION; GEOGRAPHY; HETEROZYGOTE; HUMANS; MALE; MODELS, BIOLOGICAL; NOVA SCOTIA; POLITICS; REFERENCE VALUES; RETROSPECTIVE STUDIES; SOFTWARE; SPECIES SPECIFICITY;

EID: 78651379325     PISSN: 18724973     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fsigen.2010.02.002     Document Type: Article

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