Workshop Proposal

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					                  International Workshop on Graph Theoretic Approaches
                                   for Biological Network Analysis
                                                  in conjunction with
              ACM International Conference Bioinformatics and Computational Biology
                                                  (ACM-BCB 2010)

Systematic study of complex interactions among molecular components is a new paradigm for identifying
molecular functions or functional pathways in a global scale. In recent years, modeling and analysis of
inherent, dynamic and structural behaviors of biological networks in a topological perspective have
become a primary issue in bioinformatics. However, these studies have been challenging because of large
scale and complex connectivity of biological networks structured by high-throughput experimental data.
Typical examples include protein interaction networks, gene regulatory networks and metabolic networks.
Various computational techniques, in particular, graph theoretic approaches might be applied for effective
analysis of the large-scale, complex biological networks.

International Workshop on Graph Theoretic Approaches for Biological Network Analysis will be held in
conjunction with ACM International Conference on Bioinformatics and Computational Biology (ACM-
BCB 2010) in Niagara Falls, NY. 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

Topics of interest include, but not limited to:

    •   Biological network modeling
    •   Function prediction from biological networks
    •   Network motif analysis
    •   Functional pathway identification
    •   Protein complex or functional module detection
    •   Molecular interaction prediction
    •   Network dynamics and evolution analysis
    •   Network data management and integration
    •   Graph data mining algorithms
Paper Submission
Papers should not be no longer than 10 pages, following the ACM two-column format on 8.5×11 inch
paper for conference proceedings. Papers (in PDF form) should be submitted electronically using the
email to “”. All accepted papers will be published in the conference
proceedings and in the ACM Digital Library. High-quality papers will be selected for invitation to a
journal special issue.

Important Dates
    •   Paper submission deadline: March 1, 2010
    •   Acceptance notification: April 20, 2010
    •   Camera-ready version submission: May 5, 2010
    •   Workshop date: August 2, 2010

Program Chairs
    •   Young-Rae Cho, Department of Computer Science, Baylor University,
    •   Michael J. Buck, Department of Biochemistry, SUNY at Buffalo,

Program Committee