Methods for building evolutionary trees from data about species and for measuring how much two such trees differ. Neighbor joining builds a tree from a table of distances between species, and the Robinson-Foulds metric and the quartet distance count the disagreements between two trees over the same set of species. They are applied in bioinformatics to compare trees built from different genes or methods.
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Phylogenetic Tree Algorithms and Measures
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Tandy Warnow (source article)
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She is known for her work on the reconstruction of evolutionary trees, both in biology and in historical linguistics
Katherine St. John (Wikipedia)
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Comparing Evolutionary Trees
Wikipedia: Neighbor joining
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In bioinformatics, neighbor joining is a bottom-up (agglomerative) clustering method for the creation of phylogenetic trees, created by Naruya Saitou and Masatoshi Nei in 1987.
Wikipedia: Robinson-Foulds metric
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The Robinson-Foulds or symmetric difference metric, often abbreviated as the RF distance, is a simple way to calculate the distance between phylogenetic trees.
Wikipedia: Quartet distance
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The quartet distance is a way of measuring the distance between two phylogenetic trees.
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