IWBNA 2013 - 7th International Workshop on Biomolecular Network Analysis (IWBNA)

Systematic study of complex interactions between molecular components is a new paradigm for characterizing molecular functions and functional pathways in a genome-wide scale. Modeling and analysis of the inherent, dynamic, and structural behaviors of biomolecular networks from a topological perspective is a primary issue in current bioinformatics research. However, these tasks have been challenging because of the large scale and complex connectivity of the biomolecular networks, structured by high-throughput experimental data. Typical examples include protein interaction networks, gene regulatory networks, and metabolic networks. A wide-range of computational techniques, in particular, graph-theoretic approaches, might be applied for effective analysis of the large-scale, complex biomolecular networks. These studies will have a great potential for various biomedical applications.
The 7th International Workshop on Biomolecular Network Analysis (IWBNA) will be held in conjunction with IEEE International Conference on Bioinformatics and Biomedicine (BIBM) at Shanghai, China on December, 2013. This workshop aims to bring together researchers with expertise in bioinformatics, computational biology, systems biology and graph theory, and provide a forum to discuss state-of-the-art approaches for biological network analysis and opportunities for interdisciplinary collaborations.
Topics of interest include, but not limited to:
Biomolecular network modeling
Function prediction from biomolecular networks
Signaling pathway identification
Protein complex or functional module detection
Protein and genetic interaction prediction
Network motif analysis
Network dynamics and evolution
Graph data mining algorithms
Querying and retrieval of interaction data
Integration of genome, proteome and interactome data
Semantic analysis of interactome data
Application tools for biomolecular network analysis