coancestry: a program for simulating, estimating and analysing relatedness and inbreeding coefficients

By Jinliang Wang. Molecular Ecology Resources, 2011

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Estimating gray wolf pack size and family relationships using noninvasive genetic sampling at rendezvous sites (2011, methodology): “…tested all pairwise relationships in terms of their expected inbreeding coefficient (F), probabilities of identity states (D7 and D8— Weir et al. 2006), and relatedness (r) based on the pedigree against the F, D7 and D8, and r genetic marker calculations without pedigree information (Wang 2011).”
Noninvasive sampling and genetic variability, pack structure, and dynamics in an expanding wolf population (2014, background): “0 (Wang 2011), with allele frequencies and PCR error rates assessed from the sampled population and 95% confidence intervals (CIs) generated though 1,000 bootstrapped simulations.”
related: an R package for analysing pairwise relatedness from codominant molecular markers (2015, background): “The ﬁrst of these problems was recently addressed by Wang (2011), whose COANCESTRY program can estimate relatedness based on seven estimators, making it easy for users to compare the performance of each.”
A rule-of-thumb based on social affiliation explains collective movements in desert baboons (2011, methodology): “Our spatial matrix was populated with data expressed as the proportion of observation time that the focal individual, i, spent with all other adults as nearest neighbours, the dominance matrix contained relative difference in rank between individuals, and the kinship matrix was based on the triadic ”