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)
“When they [the American soldiers] came, they found fit comrades for their courage and their devotion.... Joining hands with them, the men of America gave the greatest of all gifts, the gift of life and the gift of spirit.”
—Woodrow Wilson (1856–1924)