Sentence examples for reconstruct a distance from inspiring English sources

The resulting processed alignment was used to reconstruct a distance phylogram using Neighbor Joining (NJ) and Maximum Likelihood (ML) methods (Guindon et al. 2010).

The remaining 44 sites (including 26 parsimony informative) were used to reconstruct a distance phylogeny by Minimum Evolution using JC distances [ 58], due to the low number of sites analyzed.

The resulting matrix of pairwise distances was used to reconstruct a distance tree using the Fitch program of the Phylip package [ 52], which has the advantage over the neighbor-joining method of not allowing negative branches.

To interpret our results and determine the ancestral host of the Sardinian and Corsican weevils, we used enzyme data from Briese et al. (1996) on weevils from Spain, southern France, Italy and Greece, and a subset of our own data (seven loci out of 10, corresponding to the first seven in Appendix), to reconstruct a distance tree at the scale of the mediterranean basin.

First, we reconstructed a distance tree from a matrix of the average genomic divergence between the Neomys individuals [ 50, 51].

In order to analyze these lineages with the nuclear data, we first reconstructed a distance tree based on an estimate of the average genomic divergence of the introns of the 11 Neomys specimens from which multilocus data could be obtained (Fig.  3b).

A breakpoint matrix distance among genomes provides a way to reconstruct a phylogenetic tree using distance methods [ 50].

Here, we have devised a distance-based strategy to reconstruct a highly resolved backbone tree of life, on the basis of the genome context networks of 195 fully sequenced representative species.

The hypercleaning algorithm proposed in [ 18] aims to reconstruct a phylogeny that minimizes a certain quartet distance value for measuring the quartet errors.

We used Mega4 [28] to calculate Tamura-Nei genetic distances [29] and to reconstruct a neighbour joining tree (Figure 1).

A matrix of pairwise distances built on these statistics for a set of sequences can then be used to reconstruct a phylogeny.