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, 14:14, 13 March 2013
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| == Method == | | == Method == |
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− | Before running SEQMIX, it is important to pre-process your data with a LD pruning step, which identify sites that are in high LD (r^2 > 0.1) and keep the sites with a higher sequence depth into the model. Since the sequence depth distribution is sample dependent, it is necessary to prune the sequence data for each individual. | + | Before running SEQMIX, it is important to LD prune your data so that pairs of sites in high LD (r^2 > 0.1) are identified and only the one with a higher sequence depth are included into the model. As the sequence depth distribution is sample dependent, it is necessary to prune the sequence data for each individual. |
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| == Download == | | == Download == |