In this paper, we propose a new method to analyze the difference 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.
Khastan, A., & Hooshyar, L. (2019). A computational method to analyze the similarity of biological sequences under uncertainty. Iranian Journal of Fuzzy Systems, 16(6), 33-41. doi: 10.22111/ijfs.2019.5017
MLA
A. Khastan; L. Hooshyar. "A computational method to analyze the similarity of biological sequences under uncertainty". Iranian Journal of Fuzzy Systems, 16, 6, 2019, 33-41. doi: 10.22111/ijfs.2019.5017
HARVARD
Khastan, A., Hooshyar, L. (2019). 'A computational method to analyze the similarity of biological sequences under uncertainty', Iranian Journal of Fuzzy Systems, 16(6), pp. 33-41. doi: 10.22111/ijfs.2019.5017
VANCOUVER
Khastan, A., Hooshyar, L. A computational method to analyze the similarity of biological sequences under uncertainty. Iranian Journal of Fuzzy Systems, 2019; 16(6): 33-41. doi: 10.22111/ijfs.2019.5017
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