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:
“All think what other people think;
All know the man their neighbor knows.
Lord, what would they say
Did their Catullus walk that way?”
—William Butler Yeats (1865–1939)
“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)