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Although parsimony based methods are fundamentally limited in some aspects compared with model based probabilistic methods, in the case of species tree aware gene tree reconstruction our results indicate that parsimony based methods can closely approach their accuracy.
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The proposed method can closely approximate the step response of the original continuous time-delayed DPG control system by choosing various energy loss levels.
In addition, SNP-typing phylogenetic methods can distinguish very closely related isolates to a degree not achievable by widely employed sub-genomic typing tools.
In this sense, the method can most closely be related to template analysis [ 31], in which an a priori template is used to code the data.
Like delineation methods based on population-level statistical approaches, our method can distinguish closely-related species that have not yet reached reciprocal monophyly at most or all of their loci; like tree-based approaches, it can yield meaningful conclusions using a number of independent markers as low as three.
A few methods can even make predictions for closely related MHC types not used for training [28], [29], [30], basically by interpolating between prediction models for the few experimentally characterized MHC types based on limited structural information about shared MHC residues or pockets.
Both calibration methods can produce hypothetical participation levels that closely correspond with actual program participation rates.
This is not surprising, as most methods can generate pretty good alignments for two closely related proteins.
The DNA sequences obtained from non-cultured based methods can be identified post-hoc (placed phylogentically) as closely related sequences are obtained from morphologically identified conspecifics.
Based on recordings from closely spaced uniform seismometers, various array methods can effectively enhance signal-to-noise ratios and significantly lower the detection threshold.
The success of structure comparison methods can be measured based on their effectiveness in detecting closely and remotely homologous proteins (Taylor et al., 2001).
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