POWSIM: a computer program for assessing statistical power when testing for genetic differentiation

By N. Ryman, S. Palm. 2006

592 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/8ffc07638debe2e7e33f5d39fdcf0502a9decccd

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In Genetics

Citations in the corpus

Molecular ecology of marine turtles: New approaches and future directions (2008, methodology): “There is no rule-of-thumb for the number of loci or samples to use, but simulation tests for power analysis can be done (Balloux, 2001; Ryman and Palm, 2006).”
Population stock structure of leatherback turtles (Dermochelyscoriacea) in the Atlantic revealed using mtDNA and microsatellite markers (2013, methodology): “Additionally, we used the program POWSIM v.4.0 (Ryman and Palm 2006) to evaluate the statistical power of the mtDNA marker and the microsatellite markers to detect genetic differentiation at various levels of FST.”
Computer simulations: tools for population and evolutionary genetics (2012, background): “They reflect the observer’s knowledge about what values the model parameters might take before having seen the data. can help to interpret nonsignificant results 71 .”
The importance of considering genetic diversity in shark and ray conservation policies (2017, background): “…POWSIM or SPOTG) that estimates statistical power (i.e., the probability of rejecting the null hypothesis when it is false) to simulate optimal combinations of sample size, number of loci, and allele frequency for any hypothetical degree of true differentiation (Ryman and Palm 2006; Hoban et al.”
Remarkably low genetic diversity and strong population structure in common bottlenose dolphins (Tursiops truncatus) from coastal waters of the Southwestern Atlantic Ocean (2014, methodology): “We also estimated the statistical power to detect nuclear differentiation using POWSIM (Ryman and Palm 2006) by simulating six populations with samples sizes of each sampled community (8, 10, 19, 63, 12, 12) with FST of 0.”