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Phylogenetic trees represent the historical evolutionary relationships between different species or organisms.
Creating and maintaining a repository of phylogenetic trees is one of the major objectives of molecular evolution studies.
One way of mining phylogenetic information databases would be to compare the trees by using a tree comparison measure.
Presented here are a new dissimilarity measure for comparing rooted trees and three algorithms to efficiently compute
it. This new measure operates on clusters of compared trees as in the case of standard Robinson-Foulds distance, but extracts
more subtle differences between clusters, and thus may offer better discrimination than the Robinson-Foulds distance.