After sequencing the entire human genome, a wide research field is gaining momentum that is concerned with the analysis of additional information that contribute to the function of the genome sequence. Multiple genome-wide attributes are being proposed and reviewed every month. Each of them is trying to uncover different aspects of the biological, chemical, physical and sequential structure of the genome. Multiple biological hypotheses are arising, assuming possible correlations between these attributes. The goal of our project is to develop a practically useful, statistics based methodology for automated testing of a wide range of biological hypotheses.