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

Computational proteomics:

• Analysis of protein-protein interactions.
• Protein structure modelling.
• Analysis of protein functionality.
• Quantitative proteomics and PTMs.
• Clinical proteomics.
• Protein annotation.
• Data mining in proteomics.

Next generation sequencing and sequence analysis:

• De novo sequencing, re-sequencing and assembly.
• Expression estimation.
• Alternative splicing discovery.
• Pathway Analysis.
• Chip-seq and RNA-Seq analysis.
• Metagenomics.
• SNPs prediction.

High performance in Bioinformatics:

• Parallelization for biomedical analysis.
• Biomedical and biological databases.
• Data mining and biological text processing.
• Large scale biomedical data integration.
• Biological and medical ontologies.
• Novel architecture and technologies (GPU, P2P, Grid,...) for Bioinformatics.

Biomedicine:

• Biomedical Computing.
• Personalized medicine.
• Nanomedicine.
• Medical education.
• Collaborative medicine.
• Biomedical signal analysis.
• Biomedicine in industry and society.
• Electrotherapy and radiotherapy.

Biomedical Engineering:

• Computer-assisted surgery.
• Therapeutic engineering.
• Interactive 3D modelling.
• Clinical engineering.
• Telemedicine.
• Biosensors and data acquisition.
• Intelligent instrumentation.
• Patient Monitoring.
• Biomedical robotics.
• Bio-nanotechnology.
• Genetic engineering.

Computational systems for modelling biological processes:

• Inference of biological networks.
• Machine learning in Bioinformatics.
• Classification for biomedical data.
• Microarray Data Analysis.
• Simulation and visualization of biological systems.
• Molecular evolution and phylogenetic modelling.

Healthcare and diseases:

• Computational support for clinical decisions.
• Image visualization and signal analysis.
• Disease control and diagnosis.
• Genome-phenome analysis.
• Biomarker identification.
• Drug design.
• Computational immunology.

E-Health:

• E-Health technology and devices.
• E-Health information processing.
• Telemedicine/E-Health application and services.
• Medical Image Processing.
• Video techniques for medical images.
• Integration of classical medicine and E-Health.