A simple method to analyze the similarity of biological sequences based on the fuzzy theory.
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.
Huang
Wei
W
State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, PR China. hwfly@yahoo.cn
Zhang
Jianmin
J
Wang
Yurong
Y
Huang
Dan
D
D000465:Algorithms; D000818:Animals; D001483:Base Sequence; D016000:Cluster Analysis; D017143:Fuzzy Logic; D008957:Models, Genetic; D008969:Molecular Sequence Data; D010802:Phylogeny; D017433:Protein Structure, Secondary / Q000235:genetics; D017422:Sequence Analysis, DNA / Q000379:methods*; D017385:Sequence Homology; D013045:Species Specificity; D055544:beta-Globins / Q000235:genetics
D055544:beta-Globins