Sentence examples for maximum credibility trees from inspiring English sources

Analysis of the Bayesian maximum credibility trees showed that pre- and post-HAART QS segregated into separate well-supported (posterior probability>0.8) monophyletic groups in seven of the eight patients with HIV-1/HCV coinfection; in one group B subject (#7), several clones isolated at different times appeared intermixed, not segregating into significant clades.

Trees were combined into maximum credibility trees using TreeAnnotator version 1.8.1.

Tracer V1.5 [ 119] was used to evaluate the MCMC runs, TreeAnnotator v1.6.1 [ 95] and Figtree v1.3.1 were used to annotate and visualize maximum credibility trees listing all posterior probabilities.

Runs were combined using LogCombiner, and maximum credibility trees with divergence time means and 95% highest probability densities (HPDs) were produced using Tree Annotator (both part of the BEAST package).

Results from the four independent runs were then combined using LogCombiner, and maximum credibility trees with divergence time means and 95% highest probability densities (HPDs) were produced using TreeAnnotator v1.7.5 [ 121].

A maximum credibility tree was subsequently produced using TreeAnnotator v1.6.1.

A maximum credibility tree was generated from the combined trees in TreeAnnotater [ 83].

A maximum credibility tree was then produced using TreeAnnotator v1.5.3 [ 21].

We generated a maximum credibility tree with mean node heights as well as a tree that was constrained to the 70% bootstrap consensus topology from our parsimony analysis.

The postburn-in information from convergent runs was combined to further estimate posterior distribution of topologies, as well as the maximum credibility tree.

Figure 2 shows the maximum credibility tree for the fossil-calibrated relaxed molecular clock analysis of the family Orchidaceae including the two new calibration points (Dendrobium and Earina).