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Shared Memory and Hardware Utilizations for the Parallelization of Local Sequences Alignment using SW Algorithm: A Review

by Manhal Elfadil Eltayeeb, Muhammad S. Abd Latiff, Ismail Fuzi Isnin
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 115 - Number 4
Year of Publication: 2015
Authors: Manhal Elfadil Eltayeeb, Muhammad S. Abd Latiff, Ismail Fuzi Isnin
10.5120/20141-2257

Manhal Elfadil Eltayeeb, Muhammad S. Abd Latiff, Ismail Fuzi Isnin . Shared Memory and Hardware Utilizations for the Parallelization of Local Sequences Alignment using SW Algorithm: A Review. International Journal of Computer Applications. 115, 4 ( April 2015), 28-34. DOI=10.5120/20141-2257

@article{ 10.5120/20141-2257,
author = { Manhal Elfadil Eltayeeb, Muhammad S. Abd Latiff, Ismail Fuzi Isnin },
title = { Shared Memory and Hardware Utilizations for the Parallelization of Local Sequences Alignment using SW Algorithm: A Review },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 115 },
number = { 4 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 28-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume115/number4/20141-2257/ },
doi = { 10.5120/20141-2257 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:53:52.403054+05:30
%A Manhal Elfadil Eltayeeb
%A Muhammad S. Abd Latiff
%A Ismail Fuzi Isnin
%T Shared Memory and Hardware Utilizations for the Parallelization of Local Sequences Alignment using SW Algorithm: A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 115
%N 4
%P 28-34
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

It is becoming increasingly difficult to ignore the importance of aligning DNA and Protein sequences to infer properties of new sequences from well-known reference sequences established and sorted in genetics databanks. Many studies in recent years have focused on different implementations of Sequences Alignment Problems (SAP). However, researcher confused with the ambiguous classification of the SAP. This paper is set out mainly to review, investigate, and analysis current trends in shared memory and hardware implementation of local SAP using Smith-Waterman algorithm. The literatures are addressing and evaluating in order to highlight their advantages and disadvantages.

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Index Terms

Computer Science
Information Sciences

Keywords

DNA Protein Sequences Alignment Shared Memory Smith-Waterman Parallel Computing.

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