GoingToMeet

Systems Biology is concerned with the systemic study of complex interactions in biological systems and provides a quantitative systemic approach to understanding complex biological phenomena. On the other hand, Artificial Life aims at the study of all phenomena characteristic of natural living systems, through methodologies of synthesis implemented in computational, robotic or other artificial architectures. Needless to say, the ultimate goal for the understanding and modeling of biological systems is at the synthesis and simulation of biological behaviors and functions, across which bioinformatics plays an important underpinning role. Recent progresses in bioinformatics, systems biology and artificial life are extraordinarily exciting and are calling for much broader and further deep-stretching interdisciplinary research and collaboration.

Topics of particular interest include (but not limited to) the followings.

(1) Modeling, Simulation and Analysis

- analysis/interpretation of biological mechanisms/phenomena
- computational anatomy
- computational molecular biology
- computational systems biology
- computational transcriptomics, proteomics, metabolomics
- gene identification, regulation and expression
- genotype - phenotype linkage
- identification of gene regulatory networks