The application discloses a
genome penetration identification method fusing parent-specific SNPs and
population allele frequencies, and relates to the technical field of
bioinformatics and
data processing. The method is based on the whole
genome variation data of a parent
population with a known source, uses the difference in
population allele frequencies to screen parent-specific diagnostic SNP sites, and constructs a diagnostic SNP
library. For the whole
genome variation data of a sample to be measured, parent sources are determined in a preset sliding window through a physical path and a statistical path. On this basis, the double-path determination results are fused according to the decision rules of physical priority and loss completion, and the final determination results of each sliding window are obtained. Then, through continuous window merging and
chromosome physical
coordinate mapping, a phase block
list and a visual
karyotype map are output. The method is beneficial to improving the accuracy and robustness of parent
source determination of
chromosome segments.