Figure 3.
Data points represent the slopes of the linear regressions in Figure 2 for extension, with the corresponding value of k (which is k = C log n for a constant 
). This dependence of the genome size, n (x-axis), is decently approximated by a naive A1log (n) + B1 fit, where A1 and B1 are parameters. However, our theory states that the dependence should be log (n)nCα with Cα ≈ 0.08 when θ = 0.05. Fitting A2log (n)n0.08 + B2 gives a better R2 value (0.928 vs. 0.766) with the same number of parameters (two parameters for both fits), indicating the goodness of our
theoretical predictions.
