Mutation Information and Relative Entropy about RNA Secondary Structure

With the imminent completion of the Human Genome Project and the fast increase of many complete genomes of prokaryotes and eukaryotes, the task of organizing and understanding the generated sequences and structural data becomes more and more pressing and demands better and more efficient analysis algorithms. Effective detection of splice sites requires the knowledge of characteristics, dependencies, RNA secondary structure information, and relationship of nucleotides in the splice sites surrounding region. In this paper, we introduced a new method about computing RNA secondary structure mutation information and relative entropy based on information theory. Furthermore, we also explained why the addition RNA secondary structure information could improve the accuracy of RNA splice sites prediction based on mutation information and relative entropy theory.