**unrooted** — “+ adjective Etymology: un (I) + rooted, past participle of root 1. : not torn up by the roots used with out 2. : having no roots : rootless an unrooted a … Useful english dictionary

**unrooted** — adjective a) Not rooted b) uprooted … Wiktionary

**unrooted** — un·rooted … English syllables

**Unrooted tree path lengths** — In computer science, the problem of unrooted tree path lengths is that of finding the number of paths of each length in a tree.It is known that no algorithm can solve it in less than O( n 2) asymptotic time.Fact|date=February 2008 … Wikipedia

**Phylogenetic tree** — ptree redirects here. For Patricia tree, see Radix tree … Wikipedia

**Computational phylogenetics** — is the application of computational algorithms, methods and programs to phylogenetic analyses. The goal is to assemble a phylogenetic tree representing a hypothesis about the evolutionary ancestry of a set of genes, species, or other taxa. For… … Wikipedia

**Newick format** — In mathematics, Newick tree format (or Newick notation or New Hampshire tree format) is a way to represent graph theoretical trees with edge lengths using parentheses and commas. It was adopted by James Archie, William H. E. Day, Joseph… … Wikipedia

**Maximum parsimony** — Maximum parsimony, often simply referred to as parsimony, is a non parametric statistical method commonly used in computational phylogenetics for estimating phylogenies. Under maximum parsimony, the preferred phylogenetic tree is the tree that… … Wikipedia

**Distance matrices in phylogeny** — Distance matrices are used in phylogeny as non parametric distance methods were originally applied to phenetic data using a matrix of pairwise distances. These distances are then reconciled to produce a tree (a phylogram, with informative branch… … Wikipedia

**Maximum parsimony (phylogenetics)** — Parsimony is a non parametric statistical method commonly used in computational phylogenetics for estimating phylogenies. Under parsimony, the preferred phylogenetic tree is the tree that requires the least evolutionary change to explain some… … Wikipedia