Accelerating Computation of DNA Multiple Sequence Alignment in Distributed Environment

Multiple sequence alignment (MSA) is a technique for finding similarity in many sequences. This technique is very important to support many Bioinformatics task such as identifying Single Nucleotide Polymorphism (SNP) and metagenome fragments binning. The simplest algorithm in MSA is Star Algorithm....

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Main Authors: Satra, Ramdan (Author), Kusuma, Wisnu Ananta (Author), Sukoco, Heru (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2014-12-01.
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LEADER 02479 am a22003013u 4500
001 ijeecs3946_2484
042 |a dc 
100 1 0 |a Satra, Ramdan  |e author 
100 1 0 |e contributor 
700 1 0 |a Kusuma, Wisnu Ananta  |e author 
700 1 0 |a Sukoco, Heru  |e author 
245 0 0 |a Accelerating Computation of DNA Multiple Sequence Alignment in Distributed Environment 
260 |b Institute of Advanced Engineering and Science,   |c 2014-12-01. 
520 |a Multiple sequence alignment (MSA) is a technique for finding similarity in many sequences. This technique is very important to support many Bioinformatics task such as identifying Single Nucleotide Polymorphism (SNP) and metagenome fragments binning. The simplest algorithm in MSA is Star Algorithm. The complexity of DNA multiple sequence alignment using dynamic programming technique is very high. This research aims to accelerate computation of Star Mutiple Sequence Alignment using Message Passing Interfaces (MPI). The performance of the proposed method was evaluated by calculating speedup. Experiment was conducted using 64 sequences of 800 bp Glycine-max-chromosome-9-BBI fragments yielded by randomly cut from reference sequence of Glycine-max-chromosome-9-BBI taken from NCBI (National Center for Biotechnology Information). The results showed that the proposed technique could obtain speedup three times using five computers when aligning 64 sequences of Glycine-max-chromosome-9-BBI fragments.  Moreover, the increasing of the number of computers would significantly increased speedup of the proposed. http://dx.doi.org/10.11591/telkomnika.v12i12.6572  
540 |a Copyright (c) 2014 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc-nd/4.0 
546 |a eng 
690 |a Faculty of Mathematics and Natural Sciences; Computer Science 
690 |a DNA multiple sequence alignment; distributed computing; star algorithm; message passing interface 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 12, No 12: December 2014; 8278-8285 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v12.i12 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3946/2484 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3946/2484  |z Get fulltext