Data from: Maximum likelihood inference of small trees in the presence of long branches

Nick Goldman & Sarah L. Parks
The statistical basis of maximum likelihood (ML), its robustness and the fact that it appears to suffer less from biases lead to it being one of the most popular methods for tree reconstruction. Despite its popularity, very few analytical solutions for ML exist, so biases suffered by ML are not well understood. One possible bias is long branch attraction (LBA), a regularly-cited term generally used to describe a propensity for long branches to be joined...
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