Shibo Wang

IIIandMe improves haplotype phasing accuracy using three gametes, validated through simulation and citrus data.

CancerMIRNome provides an interactive database for analyzing and visualizing miRNA expression data from cancer studies to identify dysregulated miRNAs and develop biomarkers.

The paper applies genomic selection methods to multi-omics data to develop prognostic signatures for prostate cancer, showing improved predictability and computational efficiency.

Hapi infers chromosome-length haplotypes from 3-5 gametes, outperforming existing methods in accuracy, reliability, and cost efficiency.

GDCRNATools provides an R/Bioconductor package for analyzing lncRNA, miRNA, and mRNA data from the GDC to study ceRNA regulatory networks in cancers.

The paper evaluates prediction strategies for hybrid rice traits using various omic datasets and methods, finding genomic-metabolomic combinations and BLUP as most effective.