COMPUTER PROGRAMS: onesamp: a program to estimate effective population size using approximate Bayesian computation

David A Tallmon; Ally Koyuk; Gordon Luikart; Mark A Beaumont

doi:10.1111/j.1471-8286.2007.01997.x

COMPUTER PROGRAMS: onesamp: a program to estimate effective population size using approximate Bayesian computation

Mol Ecol Resour. 2008 Mar;8(2):299-301. doi: 10.1111/j.1471-8286.2007.01997.x.

Authors

David A Tallmon¹, Ally Koyuk, Gordon Luikart, Mark A Beaumont

Affiliation

¹ Biology Program, University of Alaska Southeast, 11120 Glacier Highway, Juneau, AK 99801, USA, Division of Biological Sciences, DBS/HS 104, University of Montana, 32 Campus Drive, Missoula, MT 59812, USA, School of Animal and Microbial Sciences, University of Reading, Whiteknights, Reading RG6 6AJ, UK.

PMID: 21585773
DOI: 10.1111/j.1471-8286.2007.01997.x

Abstract

The estimation of effective population size from one sample of genotypes has been problematic because most estimators have been proven imprecise or biased. We developed a web-based program, onesamp that uses approximate Bayesian computation to estimate effective population size from a sample of microsatellite genotypes. onesamp requires an input file of sampled individuals' microsatellite genotypes along with information about several sampling and biological parameters. onesamp provides an estimate of effective population size, along with 95% credible limits. We illustrate the use of onesamp with an example data set from a re-introduced population of ibex Capra ibex.