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We estimated the genetic component of three Middle Eastern breeds (Arab, Akhal Teke and Caspian) in Iberian and cE/UK breeds using two different measures of admixture, the admixture coefficient mY (Table S1A C) and expected homozygosity FS (Table S2).
We used two measures of admixture: the admixture coefficient mY [44] and expected homozygosity FS. mY coefficients and standard deviations were computed as averages of 1,000 random bootstrap samples using the programme ADMIX [44], [45].
On the other hand, the colocalization coefficient My describes the fluorescence contribution of the more abundant moiety (in this case α-actinin, green) to the less abundant moiety (in this case Nm, red), i.e. the proportion of red pixels that overlap with green pixels compared with the total number of red pixels.
Another coefficient, My, takes into account the greater abundance of one of the two moieties of interest (in this case α-actinin) and is a measure of the frequency of occurrence of the green fluorescence each time the red fluorescence is observed.
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The calculation of mY is based on the assumption that allele frequencies in the admixed populations are linear combinations of those in the parental populations; contrary to other admixture coefficients, mY takes into account allele frequency differences as well as the degree of molecular divergence between alleles and has been shown to be appropriate for use with microsatellite data [44].
Lines and curves and coefficients, oh my!
I don't find much utility in changing the drag coefficient on my mice, but if you like changing out weights, it's very easy on the G500.
Statistical analyses were performed with Volocity software (Improvision) using Manders coefficients R (overlap coefficient) and My (colocalization coefficient).
A few isolated studies have analyzed the ways in which diffusion limitation tends to increase the Hill coefficient, supporting my main line of discussion (Table 2).
The third column of Table 7 includes the coefficients for my main variable of interest without any county-specific time trends.
The point I want to make here, and it's an important point, my assumption about my weighting coefficient has a material impact on the size of my measure volatility.
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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