Figure 1.

Relationship between Vg(i) and Vip(i). As described in the Method section of [1], Vip(i) was computed as the variance of the distribution of Sign(xi) over L runs for an identical genotype, while Vg(i) was computed as a variance of the distribution of <a onClick="popup('http://www.biomedcentral.com/1471-2148/12/240/mathml/M1','MathML',630,470);return false;" target="_blank" href="http://www.biomedcentral.com/1471-2148/12/240/mathml/M1">View MathML</a> over N individuals, where <a onClick="popup('http://www.biomedcentral.com/1471-2148/12/240/mathml/M2','MathML',630,470);return false;" target="_blank" href="http://www.biomedcentral.com/1471-2148/12/240/mathml/M2">View MathML</a> was the mean over L runs. Here we adopted N = L = 1000, instead of 200 in [1]. σ = 0.09 (blue *) and 0.03 (red +). The plot of (Vg(i) and Vip(i)) for all genes i over 55-65th generations, where we have plotted only those genes with Vg(i) > .0002, as the those with smaller than that may have little accuracy in estimating Vg(i).

Kaneko BMC Evolutionary Biology 2012 12:240   doi:10.1186/1471-2148-12-240
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