Jincheng Zhong

YGEP provides a cloud platform for genomic evaluation and breeding in yaks, integrating pedigree reconstruction, genotype imputation, and genomic breeding value estimation with high accuracy.

GbyE improves genome-wide association and prediction by leveraging genetic by environmental interactions, showing higher statistical power across multiple species and heritability levels.

KBeagle improves imputation accuracy and reduces computing time by integrating K-Means clustering with Beagle software for genotype imputation.

The paper performs a genome-wide association study on yak body size traits using a compressed mixed linear model to identify significant SNPs and candidate genes.

This study integrates phenomic, genomic, and transcriptomic data from yaks to identify genes associated with body weight and beef quality traits.