Research at Zhiwu Zhang laboratory

We envision the sustainability of food production and health care relies on the usage of high throughput genomic and phenomic data. Our primary interest is to solve biological problems with analytical and computational challenges. Our funded projects include:

1) USDA: Genomics-Enabled Satellite Phenomics For Wheat Breeding in The Palouse;
2) USDA: Genomics Enabled Purging Selection to Develop 200 Alfalfa Inbred Lines Toward High Yield Hybrid Production;
3) USDA: Next Generation Variety Development and Education for Grains, Apples, Alternative Crops, and Cool Season Legumes;
4) USDA: Molecular Genetic Architectures for Increasing Pre-harvest Sprouting Tolerance in White Wheat;
5) NSF: A Scalable Framework for Visual Exploration and Hypotheses Extraction of Phenomics Data using Topological Analytics;
6) DOE: Developing Non-Food Grade Brassica Biofuel Feedstock Cultivars with High Yield, Oil Content, and Quality for Low-Input Production Dryland Systems;
7) Murdock: Acquisition of an automated phenotyping system to enable the next generation of plant phenomics-genomics study;
8) WGC: Intelligent Prediction and Association Tool to Facilitate Wheat Breeding.