Call for Papers
biomolecular networks: from analysis to synthesis
A Pacific Symposium on Biocomputing 2009 session
PSB Session and Tutorials
The term ‘biological networks’ refers both to biomolecular networks and supporting knowledge representation networks. Technology, capable of designing cellular systems for specific functions and applications, has revolutionized molecular biology via the new area of synthetic biology- which focuses on design rather than analysis.
Papers within the following areas of design and synthesis of networks are encouraged: synthetic biology networks, bio-knowledge networks, and general mathematical/computational methods for network design/synthesis.
Some of the objectives of this session include:
1. Emphasize the guiding role that computational methods should play in the design/synthesis of biological networks.
2. Create a new paradigm whereby biocomputing researchers can take more active, leading role in synthetic biology.
3. Promote communication and collaboration by scientists from other areas, especially from mathematics, engineering, physics, biological, and medical communities.
4. Apply novel network-related methods from engineering and applied mathematics (e.g. information theory, game theory) from the last couple of years to biological network design and synthesis.
Considering the popularity of biological network analysis, this PSB session was developed to have a special focus on design and synthesis of biological networks in order to encourage the research in this new area. Both the biocomputing and biological community could benefit from exchanges of ideas and this could open up new research venues. This call for papers seeks original, high quality manuscripts which are not submitted or published elsewhere. Please see guidelines below for details on paper format and submission details.
Paper Format and Submission Guidelines
Papers must be submitted to the PSB 2009 paper management system at
• The email
address of the corresponding author
All deadlines are at Pacific Standard Time.
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