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Effi cient and effective analysis of the growing genomic databases requires the development of adequate computational tools. We introduce a fast method based on the suffi x tree data structure for predicting novel targets of hypoxia-inducible factor 1 (HIF-1) from huge genome databases. The suffi x tree data structure has two powerful applications here: one is to extract unknown patterns from multiple strings/sequences in linear time; the other is to search multiple strings/sequences usingdoi:10.4137/cin.s1054 fatcat:oglwknsfd5c33gnxazuew4vfwa