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:

    The remarkable thing is that we really love our neighbor as ourselves: we do unto others as we do unto ourselves. We hate others when we hate ourselves. We are tolerant toward others when we tolerate ourselves. We forgive others when we forgive ourselves. We are prone to sacrifice others when we are ready to sacrifice ourselves.
    Eric Hoffer (1902–1983)

    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)