Sentence examples for maximum parsimony optimality from inspiring English sources
The ASCC output file is analyzed using the maximum parsimony optimality criterion in TNT for 10,000 replications [116].
The simultaneous analyses of molecular and morphological data were performed under maximum parsimony optimality criterion with the same cost for transformations of morphological characters as for nucleotide substitutions.
They point out that the additional outgroup sequences enable the recovery of the correct tree even with the maximum parsimony optimality criterion.
Genes for empirical and simulated data sets were ranked by phylogenetic informativeness and analyzed for their ability to recapitulate known node identity and robustness using measures of branch support associated with maximum likelihood and maximum parsimony optimality criteria.
Phylogenetic analyses were performed in PAUP* v.4.0b11 [ 24] using both the Neighbor Joining method and also Maximum Parsimony (MP) as an optimality criterion for tree evaluation.
These approaches depend on the assumptions of the maximum parsimony method or of other optimality criteria and do not identify conflicting splits and differences in the quality of clade support.
This is an optimization problem entirely analogous to maximum parsimony or likelihood, but in which the optimality criterion is the summed duplication score (or perhaps the summed duplication plus loss scores) across all gene trees for a given species tree.
The aligned matrix was analyzed using maximum parsimony (MP) and maximum likelihood (ML) optimality criteria and Bayesian Inference (BI).
The phylogenetic matrix was analyzed using maximum parsimony (MP) and maximum likelihood (ML) optimality criteria.
The obtained data matrix contains two gymnosperm sequences and 79 angiosperm accessions and we analyzed this under maximum parsimony (MP) and maximum likelihood (ML) optimality criteria and in addition we used Bayesian posterior probability distribution estimation (BPP).
The differences in support between the different alignments were much larger than between the phylogenetic optimality criteria applied (maximum parsimony and maximum likelihood).
