Sentence examples for taxa power from inspiring English sources

With tree sizes of 300 and 500 taxa, power increased until a rate difference of 3×, with power decreasing as the degree of rate asymmetry continue to increase.

With tree sizes of 50 taxa, power was low regardless of the degree of rate asymmetry, and power was similarly low with 100 taxa.

The power of the LRT increases as the number of sequences increases such that at 17 taxa power is nearly 100% [ 38], suggesting that our inclusion of at least 8 12 sequences (depending on the paralog group) helped alleviate loss of power from short conserved sequences.

However, as a solution to address the challenges of the taxonomic impediment in problematic taxa the power of these methods is still largely untested.

Directionality without significance is as important as significance, given that the studies in the taxa had different power, used different methods, etc.

Because ITS sequences are short and have few diverged sites when compared between recently diverged taxa, relatively low power to reject rate constancy seemed possible.

Ultraconserved elements (UCEs) have been successfully used in phylogenomics for a variety of taxa, but their power in phylogenetic inference has yet to be extensively compared with that of traditional Sanger sequencing data sets.

In addition, including additional taxa should improve the power of the method to detect selection and estimate θ, yet adding taxa increases the chance of topological uncertainty.

While both SRAP and EST-SSR distinguished Panicum species and related taxa with similar discriminating power, SRAP bands were presumed more efficient than EST-SSR for examining large Panicum collections, due to the higher rate of polymorphic band discovery.

A phylogenetic approach using seven house-keeping genes has previously been used to differentiate between bifidobacterial (sub) species and it was found that this method allowed for a significant increase in the discriminatory power between taxa as compared to more traditional methods, for example 16 s rRNA alignments [ 46].

Below 200 taxa there is little statistical power associated with identifying rate asymmetries, regardless of whether strong asymmetries exist.