Based on this concept, grammar-based compression algorithms have shown some success for various applications [4-7]. Especially, grammar can capture distant repetitions occurring far apart, which was a limitation of sliding window approaches. However, grammar-based compression algorithms at this moment do not show the best performance for compression itself [6]. Thus, our motivation of this study is not to develop a new algorithm or find the most efficient way to compress biological sequences for storage purposes. Our sole purpose of developing a new tool is to investigate any grammatical traits of biological sequences, based on formal language theory.