Abstract
The ability of permutation tail probability (PTP) analyses to discriminate between character covariance and noise is investigated with both hypothetical and published data sets. PTP is shown to be a powerful tool, not only for detecting character covariance, but also for locating that covariance on trees. PTP is especially useful for evaluating DNA sequence data that may have a high level of homoplasy. A three-step PTP procedure for locating covaried characters is presented.
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