A computational method to analyze the similarity of biological sequences under uncertainty
Publish place: Iranian Journal of Fuzzy Systems، Vol: 16، Issue: 6
Publish Year: 1398
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_IJFS-16-6_004
تاریخ نمایه سازی: 30 خرداد 1400
Abstract:
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.
Keywords:
Similarity of biological sequences , Fuzzy polynucleotide space , Fuzzy clustering , Unit hypercube , Fuzzy similarity matrix
Authors
A. Khastan
Department of Mathematics, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan ۴۵۱۳۷-۶۶۷۳۱, Iran
L. Hooshyar
Department of Mathematics, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan ۴۵۱۳۷-۶۶۷۳۱, Iran