Liqing ZhangAssociate Professor
|
Research Interests
Liqing Zhang is an associate professor in the Department of Computer Science at Virginia Tech. She is also a faculty in the GBCB (Genetics, Bioinformatics and Computational Biology) graduate program. Her research interests include evolutionary and comparative genomics, population genetics, computational biology, and bioinformatics. Dr. Zhang completed her Ph.D. in molecular evolution and population genetics at the University of California, Irvine.
Computational and Evolutionary GenomicsURL: http://bioinformatics.cs.vt.edu/~zhanglab We analyze genomes to infer interesting evolutionary events, with a focus on the divergence of duplicated genes in both primary sequences and function. We develop methods to analyze the human SNPs (single nucleotide polymorphisms) to understand the associations between different genetic diseases. We also develop open source software and online databases for analyzing high throughput data. We are currently developing a program for detecting gene conversion (non-reciprocal transfer of genetic information from one sequence to another) using machine learning approach. |
Please see projects at: http://people.cs.vt.edu/~lqzhang/
A High Throughtput Approach To The Assignment Of Orthologous Genes Base On Genome Rearrangement
Granting Institution: National Science Foundation
Amount: $60,560
Advanced Institutional Transformation Award: Virginia Tech
Granting Institution: National Science Foundation
Amount: $13,510
Antiviral Pathways in Disease Vector Mosquitoes
Granting Institution: National Institute of Allergy and Infectious Diseases
Amount: $119,600
Determining Feasibility and Scalability of a Life/Medical Science Hybrid-core Based Platform
Granting Institution: National Science Foundation
Amount: $187,838 out of total university award of $1,309,316
Genome-Wide Identification of STAT5 Binding Sequences in Cattle
Granting Institution: USDA / CSREES
Amount: $585,613
III-CXT: Collaborative Research: A High-Throughput Approach to the Assignment of Orthologous Genes Based on Genome Rearrangement
Granting Institution: National Science Foundation
Amount:

