ICBIBE 2014 conference aims to address the main issues of concern within Bio informatics and Bio engineering . This conference covers both technical as well as the non-technical aspects of bio informatics. Main topics have been identified (see below). However, innovative contributions that don’t fit into these areas will also be considered since they might be of benefit to conference attendees.

     
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.
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. 
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.