In bioinformatics, neighbor joining is a bottom-up clustering method for the creation of phenetic trees (phenograms), created by Naruya Saitou and Masatoshi Nei. Usually used for trees based on DNA or protein sequence data, the algorithm requires knowledge of the distance between each pair of taxa (e.g., species or sequences) to form the tree.
Read more about Neighbor Joining: The Algorithm, Example, Neighbor Joining As Minimum Evolution, Advantages and Disadvantages, Implementations and Variants
Famous quotes containing the words neighbor and/or joining:
“In the race for wealth, a neighbor tries to outdo his neighbor, but this strife is good for men. For the potter envies potter, and the carpenter the carpenter, and the beggar rivals the beggar, and the singer the singer.”
—Hesiod (c. 8th century B.C.)
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—Robert Riskin (1897–1955)