| The biological complexity of species correlates with the length of non-codingregions and the higher organisms own the more non-coding regions. However, moststudies focus on the function research of coding gene and ignore the non-codingregions. Even people think that non-coding regions are "junk" for a long time.Repetitive sequences are very common in the non-coding regions and important ingene expressing, regulatory, inheritance and so on. Repetitive sequences show astrong regularity. Studying the non-coding DNA sequences may be the breakthroughfrom repetitive sequences. In this paper, we utilize the statistical methods to analyzerepetitive sequences and identify the character of the distribution of repetitivesequences. We select non-coding DNA sequences that may have biological functionand explore the new methods of studying non-coding DNA sequences. Throughstatistical analysis, the known transcription factor binding sites almost locate in therepetitive sequences that we have found and position intervals on the genome can bewell fitted by geometric distribution. The greatest number of repeating in the samenon-coding regions correlates with the length of the repetitive sequences. Thedistribution of position about repetitive sequences also has a strong coupling, so wecan get the coupling sequences through further statistical analysis. Biologists throughtheir experience select some sections that are most possible to own biologicalfunctions from our analyzing repetitive sequences and conduct the experimentresearch. They preliminary confirmed that these sections indeed have certainbiological functions. |
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