Bioinformatics, Systems Biology and Intelligent Computing are synergistic disciplines that hold great promise for the advancement of research and development in designing intelligent systems to solve engineering practice problems as well as translational bioinformatics problems. Research and development in these areas are impacting the science and technology and the synergies among these disciplines are potentially enormous. International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing (IJCBS) aims to provide a common platform for the cross fertilization of ideas, and to help shape knowledge and scientific achievements by bridging these very important disciplines into an interactive and attractive forum. Keeping this objective in mind, IJCBS solicits original contributions in the following non exclusive lists of areas.

Bioinformatics

Bio-molecular and Phylogenetic Databases, Bio-Languages, Interoperability in Bio-Databases, Bio-Ontology and Data Mining; Identification and Classification of Genes; Sequence Search and Alignment; Protein Structure Prediction and Molecular Simulation; Molecular Evolution and Phylogeny; Functional Genomics, Proteomics; Drug Discovery; Gene Expression Analysis; Bioinformatics Engineering; Bio-Data Visualization; Systems Biology; Algorithms, Modeling and Simulation of Bio-Sets; Biomarkers of Toxicity; Bio-Imaging; Signaling and Computation, System Biology, Genetics and Genomics.  

Systems Biology

Systems biology focuses on the systematic study of complex interactions in biological systems, to discover new emergent properties that may arise from the systemic view in order to understand better the entirety of processes that happen in a biological system. With the progress of genome sequence project and range of other molecular biology project that accumulate in-depth knowledge of molecular nature of biological system, we are now at the stage to seriously look into possibility of system-level understanding solidly grounded on molecular-level understanding.

Intelligent Computing

The scope of intelligent computing is given so as to cover Machine Learning, Data Mining, Pattern Recognition, Agents, Neural Computing, Kernel Methods, Evolutionary Computing, Swarm Intelligence and Optimization; Feature Selection/Extraction; Ensemble Methods; Manifold Learning Theory; Artificial Life and Artificial Immune Systems. Research topics that the Intelligent Systems conduct can be classified into three types; technology to develop Artificial Components, systematization methodology for Intelligent Systems, and scientific principles related to Artificial Life.