Table 1. Summary statistics for a binomial generalized linear model of SNP conversion success. Shown are the log-odds model estimates with standard errors and confidence intervals from parametric bootstrapping, test statistics (Z values) and P-values. The model had 85,352 degrees of freedom and was based on a dataset of 85,359 tiled SNPs.

Term	Estimate	Std. error	95% CI	Z value	P
affy	0.85	0.02	0.80 – 0.89	34.19	< 2e-16
canine	−3.19	0.16	−3.52 – -2.88	−19.46	< 2e-16
goldengate	−0.17	0.35	−0.81 – 0.59	−0.50	0.62
sanger	−0.09	0.60	−1.11 – 1.34	−0.15	0.89
unique	1.46	0.10	1.25 – 1.66	14.22	< 2e-16
rad	0.26	0.03	0.20 – 0.33	7.92	2.32e-15