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Conversely, where there is direct disagreement in a relationship between supertree and input tree, this is conflict.
With compatible input trees, all MR methods find a score of 0 and the same supertree as MRP and I thus conclude that all methods search the tree space successfully.
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Overall, there is a high degree of congruence between supertree and concatenated alignment phylogenies.
There are two main ways to compute the RF distance between a supertree and an input tree when the input tree may contain only a subset of the taxa [ 26]: 1. Prune the supertree to the set of taxa in the input tree and compare the resulting tree to the input tree.
The main division among variants is between MR and MR. The first evaluates distances between the pruned supertree and each input tree, while the second evaluates distances between the supertree and extended input trees.
MR supertrees are closely related to RF supertrees [ 29] since both evaluate the RF distances between the pruned supertree and the input trees.
The presented framework allows for an efficient score computation of three majority-rule supertree variants and input trees.
The intuition behind seeking a binary supertree is that, in this setting, minimizing the RF distance is equivalent to maximizing the number of clusters (or clades) that are shared by the supertree and the input trees.
Differences between ChIP and input are shown.
Differences between ChIP and input are plotted.
This is done by pruning the supertrees and the input trees to the common taxon sets.
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