Data from: Evaluating the ability of Bayesian clustering methods to detect hybridization and introgression using an empirical red wolf dataset

 

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Title BAPS_input_files
Downloaded 35 times
Description These files are GenePop files that were used for the BAPS analyses. Each file reflects whether it contains 'Known' or 'Unknown' individuals incorporated in the BAPS analysis, along with the year and training set. Those with just a year in the file name are for the 'Update' training set, whereas those ending with '12years' were part of the '12 years' training set.
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Title Canid_genotypes_Dryad
Downloaded 80 times
Description This file contains microsatellite genotypes of all individuals used in the simulation study. The first column contains the identification number for each individual. Column two indicates which group the individual was assigned to as part of our study (note: this matches the 'Founders' training set in our publication). The third column indicates whether the individual was included as a 'known' individual in the STRUCTURE analysis. A '1' indicates that an individual's genotype was included in estimating the allele frequencies, a '0' means is was not. All the remaining columns contain genotypic information, with each column containing genotyped alleles. There are two columns per microsatellite locus.
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Title STRUCTURE_input_files
Downloaded 107 times
Description This contains all the input files used for the STRUCTURE analyses. Each file represents a separate year and training set. See our publication for more details. The ReadMe file contains the details of the parameter settings and input files.
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Download README.txt (1.633Kb)
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When using this data, please cite the original publication:

Bohling JH, Adams JR, Waits LP (2012) Evaluating the ability of Bayesian clustering methods to detect hybridization and introgression using an empirical red wolf dataset. Molecular Ecology 22(1): 74-86. doi:10.1111/mec.12109

Additionally, please cite the Dryad data package:

Bohling JH, Adams JR, Waits LP (2012) Data from: Evaluating the ability of Bayesian clustering methods to detect hybridization and introgression using an empirical red wolf dataset. Dryad Digital Repository. doi:10.5061/dryad.8j486
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