Theme:

Next Generation Computing and Bioinformatics Approaches for Analyzing Life Science Data

Sub-Themes:

• Large-scale modelling and analysis methods
• Protein structure, function prediction and sequence analysis
• Protein interactions, docking and function
• Computational proteomics and genomics
• Gene regulation, expression, identification and network
• Computational evolutionary biology
• In-silico drug design and computer aided diagnosis
• Imaging, instrumentation and sensors for model generation and identification
• Experimental approaches for models validation
• Information Technology applications to computational biology
• Subject-specific and population-based modeling methods
• Applications to diagnosis, prognosis, treatment, monitoring and rehabilitation
• Data management and modelling tools
• Emerging numerical methods and computational tools
• Probabilistic and optimisation methods in bioengineering
• Multiscale modelling and integrative research
• Biological devices/Biosensors and Molecular Diagnostics
• High-performance computational systems biology and parallel implementations
• Inference from high-throughput experimental data
• Model integration from biological databases
• Data aquisition, normalization, analysis and visualization
• Algorithms, models, software, and tools in Bioinformatics
• Any novel approaches to bioinformatics problems
• Synthetic biology