基于广义拓扑熵的片段复制分析方法研究

Research on segmental duplication analysis method based on generalized topological entropy

片段复制(Segmental Duplication)是一种重要的遗传学现象,在生命进化及基因组变异的形成过程中发挥着重要作用。对片段复制区域的序列分析具有重要的研究意义。然而,通过传统的生物学实验方法对片段复制序列进行分析存在分析成本高、速度慢等缺点。为此,本研究提出基于广义拓扑熵的片段复制分析方法,利用信息熵的理论对这一生物学现象进行分析研究。通过对人类参考基因组数据的实验结果表明,广义拓扑熵的方法可以较好地将片段复制区域与其它随机选取区域进行区分。

Segmental Duplication（ SD） is an important genetic phenomenon. It plays an important role in the evolution of life and the formation of genome variation.Analyzing the sequence of SD regions has the important research significance. However,analyzing SD regions by traditional methods of biological experiment has many disadvantages,such as high cost and low speed etc. Hence,the paper proposes a new generalized topological entropy based segmental duplication analysis method and employs the entropy theory to analyze this biological phenomenon. The experimental results of analyzing human reference genome data show that generalized topological entropy can preferably differentiate SD regions from other random selected regions.