Shuhong Zhao

The paper analyzes whole-genome data from wild boars to trace their demographic history and identify genetic signatures of local adaptation in Central Asia.

This study identifies rare variants under positive selection in wild boar linked to cold adaptation, showing convergent molecular evolution with humans.

hibayes provides an R package for fitting Bayesian regression models in genomic prediction and GWAS, supporting individual-level, summary-level, and single-step approaches.

The paper identifies and characterizes new Cas12a orthologs from metagenomic data, leading to variants with improved PAM recognition and editing efficiency for CRISPR applications.

SEIR is a multi-locus GWAS method that improves statistical power for identifying variant-phenotype associations by integrating an embedded selector with iterative single-marker scanning.

This paper develops a CRISPR/Cas12a-based colorimetric assay with a convolutional neural network for rapid, naked-eye detection of viral nucleic acids in point-of-care testing.

blupADC provides an R package and Shiny toolkit for comprehensive genetic data analysis in animal and plant breeding, including data processing, quality control, imputation, and genomic evaluation.

rMVP improves GWAS computation by offering memory efficiency, visualization tools, and parallel acceleration for faster and more scalable analysis.

The paper uses CRISPR screening in porcine cells to identify host factors essential for Japanese encephalitis virus replication and entry.