CNB-MAC 2014 - International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC 2014)

Recent advances in high-throughput technologies for measuring gene expressions and protein interactions have enabled more comprehensive and systematic studies of living systems. Network models play crucial roles in understanding the complex interactions in biological systems, and the inference and analysis of biological networks and network-based analysis of measurement data have shown strong potentials for unveiling the key mechanisms of complex diseases as well as for designing improved therapeutic strategies. At the same time, the inference and analysis of complex biological networks pose new exciting challenges for computer science, signal processing, control, and statistics. The International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC), which will be held in conjunction with the 5th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics (ACM-BCB 2014), aims to provide an international scientific forum for presenting recent advances in computational network biology that involve modeling, analysis, and control of biological networks and systematic analysis of large-scale “OMICS” data. CNB-MAC 2014 solicits (1) original research papers that report new research results that have not been published elsewhere, (2) poster abstracts for rapid dissemination of the latest research findings, and (3) “highlights” that present recent advances in the field that have been reported in recent journal publications. The main emphasis of the workshop will be on rigorous mathematical or computational approaches in studying biological networks and analyzing large-scale biological data.
Topics of Interest include (but are not limited to):
? Inference of biological networks and pathways
? Mathematical modeling and simulation of biological networks and pathways
? Network and pathway-based analysis of OMICS data
? Network dynamics and network control
? Detection, modeling, and analysis of regulatory modules in biological networks
? Network-based prediction of drug response and potential drug targets
? Pathways and networks in complex diseases
? Systematic approaches for disease diagnosis and prognosis
? Incorporation of prior knowledge in biological system and data analysis