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 not forsake your friend or the friend of your parent; do not go to the house of your kindred in the day of your calamity. Better is a neighbor who is nearby than kindred who are far away.”
—Bible: Hebrew, Proverbs 27:10.
“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)