Neighbor Joining

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:

    Do what you know you ought to do. Why should we ever go abroad, even across the way, to ask a neighbor’s advice? There is a nearer neighbor within us incessantly telling us how we should behave. But we wait for the neighbor without to tell us of some false, easier way.
    Henry David Thoreau (1817–1862)

    Women will not advance except by joining together in cooperative action.... Unlike other groups, women do not need to set affiliation and strength in opposition one against the other. We can readily integrate the two, search for more and better ways to use affiliation to enhance strength—and strength to enhance affiliation.
    Jean Baker Miller (20th century)