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We illustrate the clinical importance of our method by clustering 43 CT images of mandibles for implant design.
Supporting the importance of our method in analyzing mild physiological UPR, similar running conditions in regular gels resulted in a much less impressive mobility-shift for PERK (Figure 4A).
Prioritization of candidates like LPIN2 as high ranked candidates, clearly indicate the efficiency and importance of our method.
The importance of our method is five fold: (i) clustering of a very large set of PDZ domains based on their sequence identity.
Furthermore, the optimal α becomes smaller when ω becomes larger under negative selection, and the effects of various substitution rates across sites become evident under negative selection, emphasizing the importance of our method in the calculation under negative selection.
The recent association of several genes identified in our study to AD provides an immediate support of our work and prioritization of such candidates clearly indicates the efficiency and importance of our method.
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Small conformational changes (such as side-chain rotations) upon binding are not of critical importance for our method, because our GMM has a soft boundary.
It is of great importance for our method to detect all variation coming from the CYP2D7 reads, which are falsely aligned to some of the CYP2D6 alleles.
Therefore, previous researches have validated the reliability of our method and the importance of our findings.
This underscores the importance of our approach; the methods used in most previous studies would find and report significance for parents' education levels (Deniz et al. 2008), or sex (Grose and Simpson 1982) (or age or ethnicity) in acceptance of evolution; in our study, however, these relationships appear to be driven by underlying variation in other variables.
However, improvements in gene assembly tools and automated gene prediction pipelines are of utmost importance and our method will naturally be able to take advantage of the increasing number of fungal genomes available and of improved genome annotation quality.
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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