Biomedical research and applications often involve large volume of data, e.g. clinical data, genomic sequence data, protein structure data, gene expression profiles, mass spectra, protein interaction networks, pathway networks, and Medline abstracts. There are many computationally challenging problems in the analysis of these diverse and voluminous data. To address the computational problems and their relevance to biology, we encourage authors to submit papers that propose novel data mining techniques or that effectively use existing computational algorithms to solve challenging problems in the following topics (but not limited to):

* Rule induction from traditional clinical data
* Biomedical text mining
* In-silico diagnosis, prognosis, and treatment of diseases
* Genomics, proteomics, and metabolomics
* Systems biology
* Protein structure and function
* Topological properties of interaction networks
* Biomedical data integration
* Ontology-driven biomedical systems
* Biomedical data privacy and security.