Abstract: With the use of a bio-information analyzer, a total contribution showing a relationship between a gene expression regulatory sequence and a biological phenomenon is calculated. This total contribution is calculated based on contributions of a gene expression regulatory sequence to a plurality of gene candidates and contributions of the plurality of gene candidates to a biological phenomenon. By performing calculation of the total contribution for a number of gene expression regulatory sequence candidates, a profile of relationships between the respective gene expression regulatory sequence candidates and biological phenomena can be created. By using the created profile of data, a biological phenomenon-specific gene expression regulatory sequence can be predicted from new and known gene expression regulatory sequences and gene expression regulatory sequence candidates. This enables the search for various gene expression regulatory sequences in a wide variety of living organisms including higher eukaryotes.