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Biological Sequence Matching using Boolean algebra vs. Fuzzy Logic

by Nivit Gill, Shailendra Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 26 - Number 11
Year of Publication: 2011
Authors: Nivit Gill, Shailendra Singh
10.5120/3168-4383

Nivit Gill, Shailendra Singh . Biological Sequence Matching using Boolean algebra vs. Fuzzy Logic. International Journal of Computer Applications. 26, 11 ( July 2011), 15-21. DOI=10.5120/3168-4383

@article{ 10.5120/3168-4383,
author = { Nivit Gill, Shailendra Singh },
title = { Biological Sequence Matching using Boolean algebra vs. Fuzzy Logic },
journal = { International Journal of Computer Applications },
issue_date = { July 2011 },
volume = { 26 },
number = { 11 },
month = { July },
year = { 2011 },
issn = { 0975-8887 },
pages = { 15-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume26/number11/3168-4383/ },
doi = { 10.5120/3168-4383 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:12:31.998470+05:30
%A Nivit Gill
%A Shailendra Singh
%T Biological Sequence Matching using Boolean algebra vs. Fuzzy Logic
%J International Journal of Computer Applications
%@ 0975-8887
%V 26
%N 11
%P 15-21
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Biological sequence alignment is one of the crucial tasks of computational bioinformatics, and provides base for other tasks of bioinformatics. In this paper, we discuss two different approaches to sequence matching – Boolean algebra and fuzzy logic. First method is a two-valued logic whereas the second is a multi-valued logic. Both the methods perform sequence matching by direct comparison method using the operations of Boolean algebra and fuzzy logic respectively. To ensure the optimal alignment, dynamic programming is employed to align the sequences progressively. Both the methods are implemented and then tested on few sets of real biological sequences taken from NCBI bank and their performances are compared with the CLUSTALW algorithm.

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Index Terms

Computer Science
Information Sciences

Keywords

Sequence alignment Boolean algebra Fuzzy Logic Sequence matching global alignment dynamic programming

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