Sentence examples for maximum parsimony distance from inspiring English sources

The bootstrap support for branches in maximum parsimony, distance and maximum likelihood estimation, or posterior probabilities in Bayesian inference, measure the uncertainty about a branch due to the sampling of the sites from genes or sampling genes from genomes.

Our focus was to increase the number of bootstrap replications that can be performed on large protein datasets using the maximum parsimony, distance matrix, and maximum likelihood methods.

Besides maximum likelihood, other methods, including maximum parsimony, distance and Bayesian methods, are available for ancestral sequence reconstruction [18], [19], [22], [23], [32].

A phylogenetic tree was inferred for 46 vertebrate sequences by maximum parsimony, distance (nucleic and protein sequences) and the signature method (Fig 4).

Contrary to maximum parsimony, distance methods have been shown to be consistent, and they usually are as accurate as maximum likelihood methods [ 35].

Phylogenetic trees were constructed with the Phylip maximum parsimony, distance matrix (Fitch), ProML (using the JTT amino acid replacement model) methods and the TREE-PUZZLE algorithm (using the VT model of amino acid substitution) [ 81, 82] implemented in ARB.

Several approaches for inferring a phylogenetic tree from the substitution patterns in multiply aligned sequences are available; they include maximum parsimony, distance-based, maximum likelihood and Bayesian methods [ 1].

The ADAPTSITE analysis of these data was in general agreement with the LRT results described above: all three approaches (maximum parsimony, distance-based and maximum likelihood) estimated a minority of sites (1 5% in primate sequences and 2 8% in mouse) where dN > dS.

The multiple sequence alignment was used to implement classical phylogenetic inference programs, using either maximum parsimony or distance methods.

Phylogenetic relationships were reconstructed in PAUP* (Sinauer Associates, Sunderland MA, USA) using maximum parsimony and distance (neighbor joining) models, with default parameters.

Maximum parsimony and distance trees were derived from this alignment using the PROTPARS and NEIGHBOR programmes of the PHYLIP package [ 32], respectively.