Kaikoura tree theorems: computing the maximum agreement subtree
Information Processing Letters
On the agreement of many trees
Information Processing Letters
Maximum Agreement Subtree in a Set of Evolutionary Trees: Metrics and Efficient Algorithms
SIAM Journal on Computing
Fast comparison of evolutionary trees
SODA '94 Proceedings of the fifth annual ACM-SIAM symposium on Discrete algorithms
An O(nlog n) Algorithm for the Maximum Agreement Subtree Problem for Binary Trees
SIAM Journal on Computing
Optimal evolutionary tree comparison by sparse dynamic programming
SFCS '94 Proceedings of the 35th Annual Symposium on Foundations of Computer Science
An efficient reduction from constrained to unconstrained maximum agreement subtree
WABI'05 Proceedings of the 5th International conference on Algorithms in Bioinformatics
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Phylogenetic trees are used to represent the evolutionary history of a set of species. Comparison of multiple phylogenetic trees can help researchers find the common classification of a tree group, compare tree construction inferences or obtain distances between trees. We present TreeAnalyzer, a freely available package for phylogenetic tree comparison. A MAST (Maximum Agreement Subtree) algorithm is implemented to compare the trees. Additional features of this software include tree comparison, visualization, manipulation, labeling, and printing. Availability: http://www.cs.uga.edu/~eileen/TreeAnalyzer