Abstract Sebastian E. Ramos-Onsins^1,2 and Thomas Mitchell-Olds^1,3

¹Max-Planck Institute for Chemical Ecology, Hans-Knöll Str. 8, D-07745 Jena, Germany. ²Present address: Departament de Genètica, Universitat de Barcelona, Diagonal 645, Barcelona, Spain. ³Present address: Department of Biology, Duke University, Durham, NC 27708, USA.

Abstract: Coalescent theory is a powerful tool for population geneticists as well as molecular biologists interested in understanding the patterns and levels of DNA variation. Using coalescent Monte Carlo simulations it is possible to obtain the empirical distributions for a number of statistics across a wide range of evolutionary models; these distributions can be used to test evolutionary hypotheses using experimental data. The mlcoalsim application presented here (based on a version of the ms program, Hudson, 2002) adds important new features to improve methodology (uncertainty and conditional methods for mutation and recombination), models (including strong positive selection, finite sites and heterogeneity in mutation and recombination rates) and analyses (calculating a number of statistics used in population genetics and P-values for observed data). One of the most important features of mlcoalsim is the analysis of multilocus data in linked and independent regions. In summary, mlcoalsim is an integrated software application aimed at researchers interested in molecular evolution. mlcoalsim is written in ANSI C and is available at: http://www.ub.es/softevol/mlcoalsim.

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