Recent advancement and wide use of high-throughput technologies for biological research are producing enormous size of biological databases distributed worldwide. Data mining techniques and machine learning methods provide useful tools for knowledge discovery in these data mines, and provide new opportunities and challenges for IT industry as well as life science and biotech industry. The goal of this workshop is to bring together researchers from academia and industry working across the broad range of bioinformatics and data mining and to provide the opportunities to exchange state-of-the-art information and new ideas. The workshop will consist of introductory tutorials and contributed papers. Some examples of questions we hope to cover by tutorials include:

• What are the major issues in current biological research?
• What kind of tools are the most wished by biologists?
• What kind of mining techniques are suitable for what kind of biological problems?
• What new research issues does bioinformatics offer the data mining community?
• What does the future of bioinformatics industry look like?

Contributed papers are welcome from topics related to the whole range of bioinformatics and biological data mining including, but are not limited to:
 

• Biological network analysis
• Biological text mining
• Drug discovery and development
• Evolutionary algorithms in bioinformatics
• Gene expression profiling
• Gene finding and promoter prediction
• Machine learning from biodata
• Molecular medicine
• Neural networks for bioinformatics
• Pathway analysis
• Pharmacogenomics
• Phylogenetic tree construction
• Protein interaction networks
• Protein structure prediction
• SNP and population genetics
• Visualization of biological data