highly significantp = 0.00003
filters F3+F4; 365 SNPs in 396) (Table 3 ), a highly significant difference was found in the final number of SNPs recovered with call rates ≥ 95%, (Chi-square Pearson = 17.40; p = 0.00003).
filters F3+F4; 365 SNPs in 396) (Table 3 ), a highly significant difference was found in the final number of SNPs recovered with call rates ≥ 95%, (Chi-square Pearson = 17.40; p = 0.00003).
The proportion of SNPs with call rates ≥ 95% varied, with an increasing trend when going toward a more stringent SNP filtering selection and reaching 93.1% with filter F4.
When SNPs in these two classes were classified for polymorphism, a clear trend emerged indicating that a significantly larger proportion of SNPs called in silico by both PolyBayes and MIRA were in fact polymorphic in the GGGT assay when compared by those called exclusively by PolyBayes (p = 0.00024).