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RNA structure motifs contained in mRNAs have been found to play important roles in regulating gene expression. However, identification of novel RNA regulatory motifs using computational methods has not been widely explored. Effective tools for predicting novel RNA regulatory motifs based on genomic sequences are needed.

A graph theoretical approach for predicting common RNA secondary structure motifs including pseudoknots in unaligned sequences