ONeSAMP: A program to estimate effective population size using approximate Bayesian computation: COMPUTER PROGRAMS

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

doi:10.1111/j.1471-8286.2007.01997.x

ONeSAMP: A program to estimate effective population size using approximate Bayesian computation: COMPUTER PROGRAMS

David A. Tallmon, Ally Koyuk, Gordon Luikart, Mark A. Beaumont

Flathead Lake Biological Station

Research output: Contribution to journal › Article › peer-review

320 Scopus citations

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.

Original language	English
Pages (from-to)	299-301
Number of pages	3
Journal	Molecular Ecology Resources
Volume	8
Issue number	2
DOIs	https://doi.org/10.1111/j.1471-8286.2007.01997.x
State	Published - Mar 2008

Keywords

Approximate Bayesian computation
Bottleneck
Conservation genetics
Effective population size
Microsatellite
Ne

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10.1111/j.1471-8286.2007.01997.x

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ONeSAMP: A program to estimate effective population size using approximate Bayesian computation: COMPUTER PROGRAMS

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Keywords

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