Welcome to Our Lab

csbl_logo miniThe 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.

CSBL Journal Club

Fall Semester 2017 journal club dates are as follows:  (Mark your calendar!!!)
Journal Club for CSBL:
 
Date: every other Wednesday starting starting August 23rd
Time: 3:00-4:00pm
Venue: Davison Life Sciences Building, Room B116A

23-Aug
6-Sep
20-Sep
4-Oct
18-Oct
1-Nov
15-Nov
Britton

Publications

All Publications

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 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

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.

 

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

Our collaborators

University of Connecticut
Jilin University
NIH
BESC
NSF

More on Our Research

Meet our lab members

Cancer Computational and Systems Biology We are interested in developing integrated computational and omic techniques for (a) identification of biomarkers for a number of human cancers, detetable through analyses of serum/urine samples, and (b) understanding the relationships between molecular signatures and cancer formation & development. Our work involves microarray gene expression data generation and analyses, comparative genome analyses and analyses of other experimental data.

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Computational Study of Plant Cell-wall Synthesis Genes and Pathways We are interested in developing computational prediction and analysis techniques for inference of genes involved in cell wall synthesis in plants and regulatory elements of these genes & their relevant biochemical pathways. Our work currently involves prediction and analyses of protein-protein interactins relevant to cell wall synthesis, prediction of Golgi-residing proteins, bi-clustering analyses of microarray gene expression data and co-evolutionary analyses of cell-wall synthesis genes.

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Principal Investigator

Ying Founder
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.

Biofuels Research

Chunman Zuo website
Chunman Zuo

Researcher-UGA/Graduate Student, Jilin University, China

Gaoyang Li
Gaoyang Li

Visiting Graduate Student, Jilin University, China

Yu Shang
Yu Shang

Graduate Student

Fei Square
Fei Ji

Graduate Student

Xin_Chen
Xin Chen

Graduate Student

Qin Square
Qin Ma

Assistant Research Scientist

Cancer Research

Ling Xu lab pic
Ling Xu

Oncology/MD/Professor, China Medical University

Mingxin Tao website
Mingxin Tao

Visiting Graduate Student, Jilin University, China

Yingnan web
Yingnan Hou

Visiting Graduate Student, Shandong University, China

Xiangchun web
Xiangchun Yu

Visiting Graduate Student, College of Computer Science and Technology, China

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Shengxiong Huang

Visiting Scholar, Professor/Hefei University of Technology

Ning Fang web
Ning Fang

Visiting Scholar, ENT Physician/The First Hospital of Jilin University

Quihang Song pic web
Quihang Song

Visiting Scholar, Bioinformatics, Northeast Normal University, China

Lili Yang web
Lili Yang

Visiting Scholar, Instructor/Physician, Jilin University

Yang_Zhang
Yang_Zhang

Visiting Scholar, Surgeon/Physician, Jilin University

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Tao Tao

Graduate student

Liyang web
Liyang_Liu

Visiting Graduate Student, Jilin University, China

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Hao Wu

Professor, Beijing Institute of Technology