Title of article :
A computational method to analyze the similarity of biological sequences under uncertainty
Author/Authors :
Khastan, A Department of Mathematics - Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan 45137-66731, Iran , Hooshyar, L Department of Mathematics - Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan 45137-66731, Iran
Abstract :
In this paper, we propose a new method to analyze the dierence and similarity of biological sequences, based on
the fuzzy sets theory. Considering the sequence order and some chemical and structural properties, we present a
computational method to cluster the biological sequences. By some examples, we show that the new method is relatively
easy and we are able to compare the sequences of arbitrary lengths.
Keywords :
fuzzy sim- ilarity matrix , unit hypercube , fuzzy clustering , fuzzy polynucleotide space , Similarity of biological sequences
