Sentence examples for maximum likelihood dendrogram from inspiring English sources
Additional file 7: Bayesian maximum likelihood dendrogram.
These concatenated sequences were aligned by ClustalW [ 38] and the maximum likelihood dendrogram was generated via MEGA5 [ 39].
Maximum likelihood dendrogram of the C-terminus computed with 1,000 bootstrap replicates, bootstrap values ≥ 50% are displayed on dendrogram branches.
The condensed bootstrap maximum likelihood dendrogram was constructed from the General Time Reversible (GTR) model with a Gamma of 2.83 (+G) and an assumption that a fraction of sites (0.27) are evolutionarily invariable (+ I).
To this end, a bioinformatics strategy that combines the strengths of hidden Markov models and resolved maximum likelihood dendrograms was found to be the most successful approach to gain these results.
Maximum-Likelihood dendrogram was constructed and based on tree topology, the least and most divergent variants of each clade were selected.
The dendrogram was generated using maximum likelihood analysis with FastTree2.
The dendrogram was determined by maximum likelihood analysis of a MAFFT-Alignment using FastTree2.
The dendrogram obtained using the maximum likelihood method proposed a phylogeny in which PFGE groups are clustered in two main distant clades called MLSA-1 and MLSA-2.
Dendrograms were calculated using maximum likelihood analysis with FastTree2 (Price et al., 2009; Liu et al., 2011) and displayed and edited with FigTree (http://tree.bio.ed.ac.uk/software/figtree).ac.uk/software/figtree
Dendrogram trees were generated from ClustalW multiple alignments, using the maximum likelihood method in the PHYLIP package [126].
