Computationally identifying virulence factors based on KEGG pathways†
Abstract
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* Corresponding authors
a
Center for Translational Medicine and Jiangsu Key Laboratory of Molecular Medicine, Medical School of Nanjing University, Nanjing 210093, China
E-mail:
hwang@nju.edu.cn
Fax: +86 25 83594755
Tel: +86 25 83594755
b CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, China
c College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China
d Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, New York, USA
e Institute of Health Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences and Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
f State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University, Shanghai 200025, China
g Department of Biomedical Engineering Tianjin University, Tianjin Key Lab of BME Measurement, Tianjin, China
h Shanghai Center for Bioinformation Technology, Shanghai 200235, China
i
Institute of Systems Biology, Shanghai University, Shanghai 200444, China
E-mail:
cai_yud@yahoo.com.cn
Fax: +86-21-66136109
Tel: +86-21-66136132
W. Cui, L. Chen, T. Huang, Q. Gao, M. Jiang, N. Zhang, L. Zheng, K. Feng, Y. Cai and H. Wang, Mol. BioSyst., 2013, 9, 1447 DOI: 10.1039/C3MB70024K
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