EASYPOP (version 1.7): a computer program for population genetics simulations.

By François Balloux. Journal of Heredity, 2001

387 citations recorded by the source corpus.

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Citations in the corpus

Colonization History and Noninvasive Monitoring of a Reestablished Wolverine Population (2004, methodology): “To carefully evaluate observations in our data set, we carried out population genetic simulations of mutation and genetic drift with the programs Geneloss (England 2001) and Easypop (Balloux 2001).”
ldne: a program for estimating effective population size from data on linkage disequilibrium (2008, methodology): “…a different model than the one used by Waples (2006), which provided an independent test of the efficacy of the empirical bias correction. easypop (Balloux 2001) was used to simulate genotypic data for ideal populations of fixed size, with discrete generations, equal sex ratio, and random mating.”
USING THE AMOVA FRAMEWORK TO ESTIMATE A STANDARDIZED GENETIC DIFFERENTIATION MEASURE (2006, methodology): “To provide an example of the use of the standardized measure of genetic differentiation , the program Easypop ver- ST sion 1.8 (Balloux 2001) was used to simulate a set of populations under a hierarchical stepping-stone model.”
Assessing population structure: FST and related measures (2011, methodology): “To illustrate this, we used Easypop (Balloux 2001) to simulate a single large population (2000 individuals) and varied the mutation rate to obtain a series of 20 data sets with HS values ranging from 0.05 to 0.99.”
Microsatellites for ecologists: a practical guide to using and evaluating microsatellite markers. (2006, neutral): “EASYPOP is a free program that allows such data set simulation for power analyses (Balloux 2001).”
Maintaining tiger connectivity and minimizing extinction into the next century: Insights from landscape genetics and spatially-explicit simulations (2017, background): “If 210 all locations were occupied, any remaining offspring not assigned to a location were eliminated 211 (Balloux 2001).”
Linkage disequilibrium estimates of contemporary Ne using highly variable genetic markers: a largely untapped resource for applied conservation and evolution (2009, methodology): “EasyPop (version 1.7): a computer program for population genetics simulations.”
The effects of habitat fragmentation due to forestry plantation establishment on the demography and genetic variation of a marsupial carnivore, Antechinus agilis (2005, methodology): “We used the software Easypop version 1.8 (Balloux, 2001) to conduct simulations to estimate the change in genetic diversity expected if the populations in the fragmented habitat had been isolated.”
diveRsity: An R package for the estimation and exploration of population genetics parameters and their associated errors (2013, neutral): “7 (Balloux 2001).”
NeEstimator v2: re‐implementation of software for the estimation of contemporary effective population size (Ne) from genetic data (2014, methodology): “We used genetic data simulated using Easypop (Balloux 2001) to illustrate some of the novel features of N E E STIMA-TOR (v2).”
GENETIC ERRORS ASSOCIATED WITH POPULATION ESTIMATION USING NON-INVASIVE MOLECULAR TAGGING: PROBLEMS AND NEW SOLUTIONS (2004, methodology): “EASYPOP (version 1.7): a computer program for population genetics simulations.”
INVITED REVIEW: What is a population? An empirical evaluation of some genetic methods for identifying the number of gene pools and their degree of connectivity (2006, methodology): “Genotypic data were generated by easypop (Balloux 2001).”
Bayesian identification of admixture events using multilocus molecular markers (2006, methodology): “Second, to assess the statistical properties of our method for more limited marker sets, we generated several synthetic data sets using the easypop software (Balloux 2001).”
simuPOP: a forward-time population genetics simulation environment (2005, background): “The authors thank Dr. François Balloux, author of easyPOP (Balloux, 2001), for his many suggestions and Dr. William Amos for his insights about the userfriendliness of simuPOP.”
Genetic consequences of a demographic bottleneck in the Scandinavian arctic fox (2006, methodology): “The analyses in EASYPOP showed that a mutation rate of m /0.01 resulted in an increase in heterozygosity by 0.11 compared to when the mutation rate was set to zero.”