* Sequence analysis, promoter analysis and identification of transcription factor binding sites;
* Gene expression data analysis;
* Methods for the integration of clinical and genetic data;
* Algorithms for alternative splicing analysis;
* Methods for the functional classification of genes;
* Methods for the unsupervised analysis, validation and visualization of structures discovered in bio-molecular data;
* Prediction of secondary and tertiary protein structures;
* Mass spectrometry data analysis in proteomics;
* Methods for comparative genomics;
* Algorithms for molecular evolution and phylogenetic analysis;
* Mathematical modelling and simulation of biological systems;
* Heterogeneous data integration and data fusion for diagnostics;
* Biomolecular databases and data mining;
* Algorithms for pharmacogenetics;
* Bio-medical text mining and imaging;
* Modeling and evaluation methods for diagnosis and prognosis;
* Software tools for bioinformatics.