Changes

Before running SEQMIX, it is important to pre-process LD prune your data with a LD pruning step, which identify so that pairs of sites that are in high LD (r^2 > 0.1) are identified and keep only the sites one with a higher sequence depth are included into the model. Since As the sequence depth distribution is sample dependent, it is necessary to prune the sequence data for each individual.