Evaluating the ability of Bayesian clustering methods to detect hybridization and introgression using an empirical red wolf data set

Molecular Ecology

Volumn 22, Issue 1, 2013, Pages 74-86

  Bohling, Justin H ^a   Adams, Jennifer R ^b   Waits, Lisette P ^b  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

^b UNIVERSITY OF IDAHO   (United States)

Author keywords

baps; Canis; coyote; genetic introgression; pedigree; structure

Indexed keywords

MICROSATELLITE DNA;

ANIMAL; ARTICLE; BAYES THEOREM; BIOLOGY; CLUSTER ANALYSIS; COMPUTER PROGRAM; COYOTE; DNA SEQUENCE; ENVIRONMENTAL PROTECTION; EVALUATION; GENETICS; GENOTYPE; HYBRIDIZATION; STATISTICAL MODEL; UNITED STATES; WOLF;

ANIMALS; BAYES THEOREM; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; CONSERVATION OF NATURAL RESOURCES; COYOTES; GENOTYPE; HYBRIDIZATION, GENETIC; LIKELIHOOD FUNCTIONS; MICROSATELLITE REPEATS; NORTH CAROLINA; SEQUENCE ANALYSIS, DNA; SOFTWARE; WOLVES;

CANIS; CANIS FAMILIARIS; CANIS LATRANS; CANIS RUFUS;

EID: 84872855883     PISSN: 09621083     EISSN: 1365294X     Source Type: Journal    
DOI: 10.1111/mec.12109     Document Type: Article

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