Number of individuals sampled
This is simply the number of individuals for which microsatellite
data were collected.
Number of loci sampled
The number of microsatellite loci for which data were obtained. The program does not accept monomorphic loci.
Number of bases in repeat motif
You must specify the repeat motif (2, 3, 4, 5, 6 bases) for each locus. This is done in the
data file, following the locus name. To see an example data file click here . Each allele should be specified by three digits.
Minimum effective population size
The lower limit on what the effective size of the population
could be. This value must be an even
Maximum effective population size
The upper limit on what the effective size of the population
could be. This value must be an even
Additional information. ONeSAMP uses the
parameter values you input, along with a few others, to simulate a population
and draw a sample equal in size to your sample. Each simulated population
has an effective size drawn from a uniform random number between the minimum
and maximum effective size you specify. Each population is assumed to
come from a population with a level of genetic variation determined by, theta, a
product of its historic effective size and the mutation rate (4Ne*u). The theta value
is randomly drawn from a uniform random number between 2 and 12. Each
simulated population reproduces following a Wright-Fisher model for somewhere
between 2 and 8 generations before being sampled. Again, the exact number
of generations is drawn from a uniform random number.
It is a good idea to investigate the sensitivity of your results to the choice of prior size. If your results are sensitive
to the choice of priors, then it may be wise to interpret those results cautiously. In addition, it may be wise to compare your results
from ONeSAMP to results from other Ne estimators (see below).
Path to your microsatellite data file
The input file must be space delimited. Also, you must specify the repeat motif (2, 3, 4, 6 bases) for each locus. This is done in the
data file, following the locus name. For a sample data file click here
Please enter the email where you would like the results sent:
Additional estimators are available to infer Ne. LDNe has been created by Robin Waples and can be accessed at http://fish.washington.edu/xfer/LDNe/
Please note: Your data are temporarily stored under your email address during analysis.
Please only submit one data file until you receive your results.
If you send multiple data sets before you receive results, it may compromise the analysis. Depending upon server load, it may take a few hours to receive your results.
For more information about ONeSAMP or approximate Bayesian computation see the following papers:
Tallmon, D.A., A. Koyuk, G.H. Luikart, M.A. Beaumont. 2008. ONeSAMP: a program to estimate effective population size using approximate
Bayesian computation. Molecular Ecology Resources 8:299-301.
Beaumont, M.A., Zhang, W., and Balding, D.J. 2002.
Approximate Bayesian computation in population genetics. Genetics 162: 2002, 2025-2035.
Tallmon, D.A., M.A. Beaumont, G.H. Luikart. 2004.
Effective population size estimation using approximate Bayesian computation. Genetics 167:977-988.