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:
“I do not like forced integration.... I do not like forced anything.... as a youngster I lived in a white neighborhood with a white neighbor next door. We would go to them, they would go to us. If they had anything, we had it. We lived just like one. We didn’t think about no integration.”
—Ruby Middleton Forsythe (b. 1905)
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—Robert Riskin (1897–1955)