Inferring long-term effective population size with Mutation-Selection models

All scripts, instructions and empirical datasets (alignments, trees, life-history traits, fossile calibrations) necessary to reproduce the simulated and empirical analyses are available in Github, at https://github.com/ThibaultLatrille/MutationSelectionDrift.<br> The Bayesian inference model, written in C++ in the component based software BayesCode, is available at https://github.com/ThibaultLatrille/bayescode.<br> The simulation software SimuEvol, written in C++ is available at https://github.com/ThibaultLatrille/SimuEvol. These empirical and simulated analyses can take several weeks to run, hence, this figshare repository contains the output of the inference model (BayesCode) and analyses on both simulated (SimuEvol) and empirical dataset. Usage Notes Clone (or download) the repository MutationSelectionDrift available at https://github.com/ThibaultLatrille/MutationSelectionDrift. <br> Extract the file 'DataSimulatedExperiments.tar.xz' into the folder 'DataSimulated'.<br>Extract the file 'DataEmpiricalExperiments.tar.xz' into the folder 'DataEmpirical'.<br>Extract the file 'DataEmpiricalAnalysis.tar.xz' into the subfolder 'Analysis' of folder 'DataEmpirical'.