Huang Wei, Zhang Jianmin, Wang Yurong, Huang Dan
State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, PR China.
J Theor Biol. 2010 Aug 7;265(3):323-8. doi: 10.1016/j.jtbi.2010.05.008. Epub 2010 May 18.
In this paper, we propose a simple method to analyze the similarity of biological sequences. By taking the average contents of biological sequences and their information entropies as the variables, the fuzzy method is used to cluster them. From the results of application, it finds that the method is relatively easy and rapid. Unlike other methods such as the graphical representation methods, which is usually very complex to compute some invariants of matric derived from graphical representation, our method pays more attention to the information of biological sequences themselves. Especially with the help of the software (SPSS), it seems to be very convenient. Therefore, it may be used to study the new biological sequences such as their evolution relationship and structures.
在本文中,我们提出了一种分析生物序列相似性的简单方法。通过将生物序列的平均含量及其信息熵作为变量,采用模糊方法对它们进行聚类。从应用结果来看,该方法相对简便快捷。与其他方法如图形表示法不同,从图形表示法导出的矩阵计算一些不变量通常非常复杂,我们的方法更关注生物序列本身的信息。特别是借助软件(SPSS),似乎非常方便。因此,它可用于研究新的生物序列,如它们的进化关系和结构。