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iBIG: an integrative network tool for supporting human disease mechanism studies
Jiya Sun1, Yuyun Pan, Xuemei Feng
1CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Genomics, Proteomics & Bioinformatics
|July 2, 2013
Summary
We developed iBIG, a web tool integrating gene interaction and regulation data to build biological networks. This tool aids in understanding complex human diseases by visualizing gene networks and functional modules from microarray data.
Area of Science:
- Systems biology
- Bioinformatics
- Genomics
Background:
- Understanding complex human diseases requires analyzing intricate gene interactions and regulatory mechanisms.
- Existing tools may lack comprehensive integration of diverse biological data for network construction.
Purpose of the Study:
- To develop an integrative web-based network tool named iBIG (integrative BIoloGy) for analyzing gene interactions and regulatory networks.
- To enable visualization and annotation of gene networks and functional modules for disease mechanism research.
Main Methods:
- Developed iBIG, a web tool incorporating gene interaction and regulation data.
- Created an accompanying R package for processing microarray data and identifying key genes.
- Constructed gene networks based on physical and pathway interactions, as well as functional levels.
Main Results:
- iBIG allows online visualization and annotation of complex biological networks.
- Functional networks were constructed using 54 microarrays from common human diseases.
- The tool successfully generated networks of functional modules perturbed in diseases like cancer and neurological disorders.
Conclusions:
- iBIG provides a comprehensive platform for constructing and visualizing gene and functional networks.
- Integrating functional and gene networks offers novel insights into the mechanisms underlying human diseases.
- The tool and its R package are freely available to the research community.
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