iBIG:An Integrative Network Tool for Supporting Human Disease Mechanism Studies  

作　　者：Jiya Sun Yuyun Pan Xuemei Feng Huijuan Zhang Yong Duan Hongxing Lei 

机构地区：[1]CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics,Chinese Academy of Sciences [2]Graduate University of Chinese Academy of Sciences [3]UC Davis Genome Center and Department of Biomedical Engineering

出　　处：《Genomics, Proteomics & Bioinformatics》2013年第3期166-171,共6页基因组蛋白质组与生物信息学报（英文版）

基　　金：supported by research grants from National Institute of Health to YD(Grant No. GM79383 and GM67168);Natural Science Foundation of China to HL(Grant No.30870474);Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry to HL

摘　　要：Understanding the mechanism of complex human diseases is a major scientitic challenge. Towards this end, we developed a web-based network tool named iBIG （stands for integrative BioloGy）, which incorporates a variety of information on gene interaction and regulation. The generated network can be annotated with various types of information and visualized directly online. In addition to the gene networks based on physical and pathway interactions, networks at a functional level can also be constructed. Furthermore, a supplementary R package is provided to process microarray data and generate a list of important genes to be used as input for iBIG. To demonstrate its usefulness, we collected 54 microarrays on common human diseases including cancer, neurolog- ical disorders, infectious diseases and other common diseases. We processed the microarray data with our R package and constructed a network of functional modules perturbed in common human diseases. Networks at the functional level in combination with gene networks may provide new insight into the mechanism of human diseases, iBIG is freely available at http：//lei.big.ac.cn/ibig.Understanding the mechanism of complex human diseases is a major scientitic challenge. Towards this end, we developed a web-based network tool named iBIG （stands for integrative BioloGy）, which incorporates a variety of information on gene interaction and regulation. The generated network can be annotated with various types of information and visualized directly online. In addition to the gene networks based on physical and pathway interactions, networks at a functional level can also be constructed. Furthermore, a supplementary R package is provided to process microarray data and generate a list of important genes to be used as input for iBIG. To demonstrate its usefulness, we collected 54 microarrays on common human diseases including cancer, neurolog- ical disorders, infectious diseases and other common diseases. We processed the microarray data with our R package and constructed a network of functional modules perturbed in common human diseases. Networks at the functional level in combination with gene networks may provide new insight into the mechanism of human diseases, iBIG is freely available at http：//lei.big.ac.cn/ibig.

关 键 词：NETWORK Functional module Disease mechanism MICROARRAY Web server 

分 类 号：TP393.09[自动化与计算机技术—计算机应用技术] Q987[自动化与计算机技术—计算机科学与技术]