Learning Markov k-Trees from Sequence Data: Optimality and Computation Efficiency
Speaker: Prof. Cai, from Computer Science Department of UGA
Date: April-13
Time: 3:30-4:30pm
Venue: Davison Life Sciences Building, Room B121
The Computational Systems Biology Lab (CSBL) in the Department of Biochemistry and Molecular Biology at the University of Georgia consists of scientists with highly diversified training background, ranging from biochemistry, computational chemistry, molecular biology, biophysics, physics to computer science, statistics and mathematics. 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.
Cancer Bioinformatics published by Springer
The latest book by CSBL PI Dr. Ying Xu, along with co-authors Dr. J. David Puett and former lab member Dr. Juan Cui, Cancer Bioinformatics provides a framework for computational researchers studying the basics of cancer through comparative analyses of omic data. Read more here and see a review of the book here.
Publications
Newest Paper on Software Tools
Mao X1, Ma Q, Zhou C, Chen X, Zhang H, Yang J, Mao F, Lai W, Xu Y, DOOR 2.0: presenting operons and their functions through dynamic and integrated views, Nucleic Acids Research, 2014 Jan, doi: 10.1093/nar/gkt1048.
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
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
Our collaborators
More on Our Research
Principal Investigator
Ying Xu, Ph.D. 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.
