iBIG: An Integrative Network Tool for Supporting Human Disease Mechanism Studies |
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Authors: | Jiya Sun Yuyun Pan Xuemei Feng Huijuan Zhang Yong Duan Hongxing Lei |
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Affiliation: | 1. CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics,Chinese Academy of Sciences, Beijing 100101, China;Graduate University of Chinese Academy of Sciences, Beijing 100049, China 2. CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics,Chinese Academy of Sciences, Beijing 100101, China 3. UC Davis Genome Center and Department of Biomedical Engineering, Davis, CA 95616, USA 4. CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics,Chinese Academy of Sciences, Beijing 100101, China;UC Davis Genome Center and Department of Biomedical Engineering, Davis, CA 95616, USA |
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Abstract: | Understanding the mechanism of complex human diseases is a major scientific 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, neurological 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. |
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Keywords: | Network Functional module Disease mechanism Microarray Web server |
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