Your English writing platform
Free sign upSuggestions(5)
Exact(2)
He found that the statistical parsimony approach outperformed maximum parsimony when levels of variation were low.
By the definition of maximum parsimony, when applied to h on tree T with given root state c1, it calculates the minimum number m of substitutions to explain hon T. This number m is therefore precisely the number of substitutions needed to generate h on T rather than c.
Similar(58)
It is important to note, however, that natural selection led to improved reconstruction accuracy for Maximum Parsimony only when there were changes in rewarded tasks that led to intermediate ancestors acquiring significant adaptations.
Thus, in all cases, the performance difference between stochastic mapping and maximum parsimony became higher when rate variability is allowed.
It has been known that the maximum parsimony method becomes unreliable when the extent of homoplasy (backward and parallel substitutions) is high, a problem often found when sequences are diverged considerably [ 15].
A slight variant of this species tree was obtained when maximum parsimony was used to infer the individual gene trees instead.
The higher performance of stochastic mapping over maximum parsimony is most pronounced when comparing equal rates versus variable rates for higher loss-to-gain ratios (Table 1, ER_gVrl_8 vs. VR_gVrl_8).
The long branches of the LBC offer an ideal situation for applying posterior mapping to the study of the evolution of morphological characters, given the flaws that might be expected when applying maximum parsimony optimization to character reconstruction.
For example, the MCC maximum parsimony score dropped from 0.529 to 0.451 when the total rate was allowed to vary (ER_gVrl_1 vs. VR_gVrl_1).
Phylogenetic analysis of the amino acid sequences of the catalytic cores of pARTs resulted in three very similar trees when using Maximum Parsimony (PAUP), Maximum Likelihood (PhyML), and Bayesian Markov Chain Monte Carlo (MrBayes) optimization criteria.
We find, for example, that the accuracy of maximum parsimony inference is substantially reduced when the goal is to map gain and loss events along internal branches of the phylogenetic tree.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com