Our common interests are in development of computational tools for solving biological problems. Our work ranges from construction of mathematical/statistical models to development of algorithms to code implementation to applications of computational tools to solve various bio-data analysis and modeling problems. Learn more about our research.
Most Recent Publication
C Zhang, S Cao, BP Toole, Y Xu
International Journal of Cancer
Newest Paper on Biofuels Research
C Zhou, Q Ma, X Mao, B Liu, Y Yin, Y Xu, New Insights into Clostridia Through Comparative Analyses of Their 40 Genomes, BioEnergy Research, 1-12
Newest Paper on Software Tools
Q Ma, H Zhang, X Mao, C Zhou, B Liu, X Chen, Y Xu, DMINDA: an integrated web server for DNA motif identification and analyses, Nucleic Acids Research, gku315
Most Cited Paper
AD Williams, E Portelius, I Kheterpal, JT Guo, KD Cook, Y Xu, R Wetzel, Mapping Aβ amyloid fibril secondary structure using scanning proline mutagenesis, Journal of Molecular Biology, 335 (3), 833-842
Newest Paper on Cancer Research
Chi Zhang, Sha Cao, Bryan P. Toole, and Ying Xu, Cancer may be a pathway to cell survival under persistent hypoxia and elevated ROS: A model for solid-cancer initiation and early development, International Journal of Cancer, 2014, doi: 10.1002/ijc.28975
Regents-GRA Eminent Scholar Chair and Professor Department of Biochemistry and Molecular Biology
Ying Xu is a computational biologist with current research interests in cancer systems biology and microbial bioinformatics. He is a professor and endowed chair in computational biology and bioinformatics in the Department of Biochemistry and Molecular Biology and also adjunct professor in the departments of computer science and statistics, University of Georgia. Originally trained as a computer scientist with a Ph.D. degree from the University of Colorado at Boulder in 1991, he is currently studying fundamental biology problems using computer and statistics as tools. He has published over 300 research articles and five books in bioinformatics and computational biology.