A computational framework for improving genetic variants identification from 5,061 sheep sequencing data.
Shangqian XieKarissa IsaacsGabrielle BeckerBrenda M MurdochPublished in: Journal of animal science and biotechnology (2023)
The new method used the computational strategy to reduce the number of false positives, and simultaneously improve the identification of genetic variants. This strategy did not incur any extra cost by using any additional samples or sequencing data information and advantageously identified rare variants which can be important for practical applications of animal breeding.