Jiabo Wang

YGEP: An Integrated Web Platform for Genomic Evaluation and Intelligent Breeding in Yak

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: A New Genome Wide Association and Prediction Model based on Genetic by Environmental Interaction

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

KBeagle: An Adaptive Strategy and Tool for Improvement of Imputation Accuracy and Computing Efficiency

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

pCMLM: Genome Wide Association Study of Body Size Traits in Multiple Regions of Yak Based on the Provided Compressed Mixed Linear Model

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.

Integrative Analysis of Phenomic, Genomic, and Transcriptomic to Identify Potential Functional Genes of Yaks in Plain and Plateau

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

GAPIT Version 3: Boosting Power and Accuracy for Genomic Association and Prediction

GAPIT Version 3 introduces multiple loci test methods and improved GP/GS methods to enhance statistical power and prediction accuracy for genomic association and prediction.