CoNe 1.01 – Estimate Ne from two temporal samples

CoNe 1.01

:: DESCRIPTION

CoNe computes the likelihood of Ne given data on two temporally spaced genetic samples. The statistical model used is based on the coalescent of the gene copies drawn in the second sample, as described in Berthier et al. (Genetics 2003, 160:741-51). The Monte Carlo computations to compute the likelihood, however, were developed by Eric Anderson, and are orders of magnitude faster than previous implementations.

::DEVELOPER

Eric C. Anderson

:: SCREENSHOTS

N/A

:: REQUIREMENTS

Windows / MacOsX

:: DOWNLOAD

CoNe

:: MORE INFORMATION

Citation

Anderson, E. C.2005.
An efficient Monte Carlo method for estimating Ne from temporally spaced samples using a coalescent-based likelihood.
Genetics 170(2):955-967.

GONe 1.03 – Estimating Effective size (Ne) in Populations with Overlapping Generations

GONe 1.03

:: DESCRIPTION

GONe (Generational Overlap Ne) is a user-friendly, Windows-based program for estimating effective size (Ne) in populations with overlapping generations. It uses the Jorde-Ryman modification to the temporal method to account for age-structure in populations.

::DEVELOPER

Jason Coombs ,jcoombs@cns.umass.edu ,Ben Letcher, and Keith Nislow

:: SCREENSHOTS

:: REQUIREMENTS

Windows

:: DOWNLOAD

GONe

:: MORE INFORMATION

Citation

GONe: software for estimating effective population size in species with generational overlap.
Coombs JA, Letcher BH, Nislow KH.
Mol Ecol Resour. 2012 Jan;12(1):160-3. doi: 10.1111/j.1755-0998.2011.03057.x