CALL FOR PAPERS
8th Atlantic Symposium on Computational Biology and Genome Informatics
Of the 11th Joint Conference on Information Science (JCIS-2008)
http://www.jcis.org.cn
December 15-20, 2008, Shenzhen, China
Harbin Institute of Technology, Harbin
Harbin Institute of Technology Shenzhen Graduate School, Shenzhen

 Chair: Dr. Paul Cao, Ashland University, U.S.A

Aim and Scope:
    There are many newly acquired biomolecular data collections, including the sequenced genomes, gene expression data, molecular structure data, etc. The follow up question for the research community is this: How do these newly acquired data affect related fields of bioinformatics and the ways biological data can be and should be studied? In other words, how should biology be studied as comparable and meaningful patterns and information derived? And what does it all mean?

    Firstly, these newly acquired data will be analyzed using computational principles and methods traditional available. In this sense, analyzing biomolecular data will benefit enormously from what we already know from the wide field of the information sciences. Secondly, these data can be represented in a substantially different form, as complicated structure of codes that may not be systematically studied in the traditional computational disciplines. Hence it may necessitate the new development of computational methods and new unifying notions that, perhaps will dramatically affect our deeper understanding in how some special form of structured data can be analyzed.

    In a larger scope, we believe some new mathematics, such as popular mathematics of uncertainty, will play an important role to solve biological problems. Furthermore, we have witnessed in the past two decades that biologically inspired algorithms turn out to very powerful. We must learn from biological and nature phenomena in order to have a big leap forward in intelligent and reliable systems. Hence, we are very much interested in DNA computers for that reason. Quality papers focusing on, but not limited to, the research topics are invited for this distinguished symposium.

Topics:

1. Modeling & engineering cellular network
2. Genomic pattern analysis
3. Data visualizations
4. Structure biology & comparative genomics
5. Synthetic & systems biology
6. Biomolecular functional information
7. Genetically modified systems and analysis
8. Mathematical adaptive systems for bioinformatics
9. Mutable Fuzzy logic networks for biological systems
10. DNA computers
11. DNA sensory networks
12. From bacterial & biochemical systems to neural systems
13. Applications of feedback control to biological systems
14. Game theory & learning theory for biology
15. Evolution & synthetic biology
16. Evolution dynamics
17. Signaling & communication for biology

Program Committee:

Gabriel Weinreb, USA
Paul P. Wang, USA
Dr. Tun-Wen Pai Taiwan