The topics of interest for submission include, but are not limited to:

Bioinformatics

Algorithms, models, software, and tools in Bioinformatics
Any novel approaches to bioinformatics problems
Applications to diagnosis, prognosis, treatment, monitoring and rehabilitation
Biological devices/Biosensors and Molecular Diagnostics
Computational proteomics
DNA and RNA structure, function and sequence analysis
Experimental methods for model validation
Gene engineering and protein engineering
Gene regulation, expression, identification and network
Genomics and Proteomics
Imaging, instrumentation and sensors for model generation and identification
Immuno- and Chemo-Informatics
Multiscale modelling and integrative research
Next Generation Sequencing
Pharmaceutical Applications
Probabilistic and optimization methods in bioengineering
Protein interactions, docking and function
Protein structure, function and sequence analysis
Sequence Analysis
Structural Bioinformatics
Structural, functional and comparative genomics
Structure Prediction
Synthetic biology

Intelligent Computing

designing and building hardware & software systems processing,structuring 
managing various kinds of information
scientific research 
making computer systems behave intelligently
creating and using communications & entertainment media

Bioinformatics & Intelligent Computing

Algorithms and Software Tools
Algorithms, models, software, and tools in Bioinformatics
Biostatistics and Stochastic Models
Computational evolutionary biology
Computational Intelligence
Computational Molecular Systems
Computational Neuroscience
Data acquisition, normalization, analysis and visualization
Data management and modelling tools
Data Mining and Machine Learning
Databases and Data Management
Drug design and computer aided diagnosis
Emerging numerical methods and computational tools
Formal Verification of Biological Systems
Gene regulation, expression, identification and network
High-performance computational systems biology and parallel implementations
Image Analysis
Inference from high-throughput experimental data
Information Technology applications to computational bioengineering
Model Design and Evaluation
Model integration from biological databases
Multi-scale modelling and analysis methods
Pattern Recognition, Clustering and Classification
Simulation and Modeling
Subject-specific and population-based modelling methods
Systems Biology
Transcriptomics
Visualization
Web Services in Bioinformatics