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First, the plastid DNA (cpDNA) variation was investigated on a large sample of trees (2126 individuals).
Further, when a large sample of trees should be considered, the full distribution of MPD values can be considered as a mixture of skew-normal distributions [ 9, 10], greatly simplifying and speeding up the process of calculating P values across the entire set of trees.
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A larger sample of trees in both groups might have yielded clearer results.
The Statistical Tree of Life (STOL) and phylogenetic supertrees are constructed from a much larger sample of genomes and attempt to either construct a single tree (supertree approaches) or a statistical trend that is tree-like from a large sample of a genome.
As an example of how part of one such estimate was made, an entomologist collected a large sample of canopy-dwelling beetles from one species of tropical tree.
It examined a large sample of corporations.
For these reasons, a larger sample of source trees than is typically used (≤5) is needed for investigating seed dispersal variation within populations [4].
However, the tree size-effect as observed in our study has to be validated in a larger sample of tropical tree species before universal rules could be deduced.
Finally, the computation of P values using skew-normal approximation is typically faster than with resampling, particularly in cases involving large samples of trees.
For conservative interpretation of the molecular phylogeny, equally large samples of trees (exclusive of burnin) were extracted from the posterior distributions of analyses run under different parameter settings (i.e. previously explained partition settings) and subjected to majority rule consensus calculation.
Secondly, the sample size used for SNP discovery in species presenting a high level of nucleotide diversity may be too small, possibly leading to the presence of undetected SNPs within priming sites when larger sample of trees are genotyped [24].
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