Accessibility navigation


ONeSAMP: a program to estimate effective population size using approximate Bayesian computation

Tallmon, D. A., Koyuk, A., Luikart, G. and Beaumont, M. A. (2008) ONeSAMP: a program to estimate effective population size using approximate Bayesian computation. Molecular Ecology Resources, 8 (2). pp. 299-301. ISSN 1471-8278

Full text not archived in this repository.

To link to this item DOI: 10.1111/j.1471-8286.2007.01997.x

Abstract/Summary

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.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Life Sciences > School of Biological Sciences
ID Code:9899
Uncontrolled Keywords:approximate Bayesian computation, bottleneck, conservation genetics, effective population size, microsatellite, Ne, LINKAGE DISEQUILIBRIUM, LOCI, BIAS, DNA

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation