Freely available software developed by the group or in collaboration with other groups.
If you have any problems downloading or using any of these programs please contact us.
LEA (Likelihood-based Estimation of Admixture)
LEA is a program for estimating admixture proportions using the method described in Chikhi et al. (2001). A user-friendly interface has been developed by Olivier Langella (CNRS, Gif), using the original program written by Mark Beaumont.
parLEA (parallel Likelihood-based Estimation of Admixture)
parLEA is a parallelized version of LEA. The method is described in Giovannini et al. (2009) and is available from our colleagues' webpage.
SPAms (Simulation Program for the Analysis of ms)
SPAms is a user-friendly interface for simulating genetic data under several demographic scenarios. It uses the ms program, developed by Richard Hudson (2002), as an engine for simulating the genetic data. The program ms can be downloaded below or from Hudson's webpage . SPAms was written using MATLAB. Thus, depending on whether you have MATLAB installed or not, the files needed to run SPAms are different. The downladable package is thus divided in several files. But you do not need to have MATLAB to run SPAms. IF YOU HAVE MATLAB : you should NOT need the MCR Installer file. There is a set of examples for which we provide the R scripts (to analyse the outputs). We recommend that you read the user guide file before starting to use the program. Do not start with large number of simulations and large data sets before you understand how much memory and time you will need to carry out your simulations.
[download User guide]
[download Script for Examples]
[download MCRInstaller: 83.3 MB] only required if you do not have Matlab
2BAD (2-event Bayesian ADmixture)
2BAD is a programme using Approximate Bayesian Computation to estimate parameters and perform Model Choice using a set of admixture and population divergence models. There can be up to four populations, two admixture events and three parental populations. The program is described in Bray et al., (2009) and has been used by Sousa et al (in prep.).