Gene expression regulation often involves the recognition of particular DNA or RNA sequences, called motifs. Detection and characterization of such motifs together with biological expertise allow to build gene expression regulatory maps that facilitate the comprehension of complex cellular processes. In this frame, we developed a software integrating relevant information for the detection and characterization of conserved motifs in genomic sequences. A relational database was built up to host data related to genomic information and transcriptional experiments. A user-friendly interface was designed to allow a convenient representation of these data and to run the detection motif program. A set of complementary utilities was also developed to improve the determination of motif consensus sequences and the detection of additional potential regulator targets in the genome.