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
Functional genomics, genetics and genomics, next generation sequencing analysis including algorithms, tools and data analysis, microarray based data analysis, biomedical data analysis, 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, proteomics, drug discovery, bioinformatics engineering, bio-data visualization, algorithms, modeling and simulation of bio-sets, biomarkers of toxicity, bio-imaging, signaling and computation.
Systems Biology
Modeling and simulation of biological processes, pathways, networks, pipelines, mathematical and quantitative models of cellular and multi-cellular systems, emergence of properties in complex biological systems, methods to predict biological network behavior from incomplete information, statistical modeling of biological data, prediction and validation, synthetic biological systems, high performance bio-computing, self-organization in living systems (cells, organisms, swarms, ecosystems, etc.), platforms for computational modeling of living systems (parallel, distributed, and multi-resolution simulation methods), differential, discrete and/or stochastic modeling-language frameworks, applications of systems biology towards understanding disease mechanisms, pharmaceutical drug discovery and drug target validation.
Intelligent Computing
Machine learning, data mining, pattern recognition, agents, natural langue processing, neural computing, kernel methods, evolutionary computing, swarm intelligence and optimization, feature selection/extraction, ensemble methods, manifold learning theory, artificial life and artificial immune systems, technology to develop artificial components, systematization methodology for intelligent systems, and scientific principles related to artificial life.
Chair
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