Solving modern biomedical problems, especially, those involving 
genome data, requires advanced computational and analytical
methods. The huge quantities of data and escalating demands of
modern biomedical research increasingly require the 
sophistication and power of computational techniques for their 
pattern discovery. Key techniques include relational data 
management, pattern recognition, data mining, modelling and 
visualization of biomedical data. In this talk, I will 
demonstrate recent methodologies and data structures for gathering 
high-quality approximations and modelling of genomic information, 
and will use these innovations as the basis for developing methods 
to cluster and visualize biomedical data in pattern discovery.