Sentence examples for by a consensus tree from inspiring English sources

The MP-EST trees constructed for the bootstrapped samples are summarized by a consensus tree.

One could easily recommend reducing this small risk of overestimating support by representing each bootstrap replicate by a consensus tree derived from multiple searches, but this probably suffers from a too high cost-benefit ratio to be practical in most analyses: 10 ratchet iterations require roughly a 20-fold search time compared to a simple search.

The investigator can summarize this posterior distribution by producing a consensus tree of the highest-frequency clades and mean branch lengths in the sample, with nodes annotated with their clade credibility value (i.e., the probability that the node appears in the posterior sample).

The support for each node was determined by assembling a consensus tree of 500 bootstrap replicates.

The confidence of each node was determined by assembling a consensus tree of 1000 bootstrap replicates.

The confidence of each node was determined by building a consensus tree of 100 maximum likelihood trees from bootstrap pseudo-replicates of the original dataset.

The confidence of each node was determined by assembling a consensus tree of 100 bootstrap replicates using both IQPNNI and PHYML [ 62, 63].

At the end of the analysis the first 25% of stored trees were eliminated by setting sumtburnin to 1000, and the remaining trees were automatically compiled into a consensus tree by the program.

From back-translation of protein alignments, TreeBest creates a consensus tree by merging the results of neighbour joining and maximum likelihood (ML) trees.

A neighbor-joining cluster was generated, with bootstrap values calculated by resampling 1000 times, and a consensus tree generated, all using default parameters in Mega 5.04.

For each of 11 markers that did not support the red-fruited clade based on MEGA results, consensus trees were generated by Phylip ver. 3.69 using Seqboot to produce 100 datasets by bootstrap resampling, Dnadist to estimate genetic distances using the Jukes-Cantor method, Neighbor to produce unrooted NJ trees and Consense to compute a consensus tree by the majority-rule consensus tree method [ 67].