2015
DOI: 10.3233/bme-151479
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A comparative analysis of multiple sequence alignments for biological data

Abstract: Abstract.Multiple sequence alignment plays a key role in the computational analysis of biological data. Different programs are developed to analyze the sequence similarity. This paper highlights the algorithmic techniques of the most popular multiple sequence alignment programs. These programs are then evaluated on the basis of execution time and scalability. The overall performance of these programs is assessed to highlight their strengths and weaknesses with reference to their algorithmic techniques. In term… Show more

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Cited by 2 publications
(3 citation statements)
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“…It is one of the most broadly used sequence alignment programs to date (Bawono et al, ). In fact, recent studies consistently rank MAFFT as one of the top multiple sequence alignment methods in terms of accuracy, speed, and consistency, in comparison to other methods such as T‐Coffee, ClustalW, ProbCons, and Dialign (Chang, Di Tommaso, & Notredame, ; Durand, Hazelhurst, & Coetzer, ; Manzoor, Shahid, & Zafar, ; Nuin, Wang, & Tillier, ; Pais, Ruy, Oliveira, & Coimbra, ; Thompson, Linard, Lecompte, & Poch, ; Wang et al, ; J. Yang & Warnow, ). Coding sequence alignments were subsequently generated by converting amino acid alignments to coding sequence alignments using the PAL2NAL tool (Suyama, Torrents, & Bork, ; http://www.bork.embl.de/pal2nal/).…”
Section: Methodsmentioning
confidence: 98%
“…It is one of the most broadly used sequence alignment programs to date (Bawono et al, ). In fact, recent studies consistently rank MAFFT as one of the top multiple sequence alignment methods in terms of accuracy, speed, and consistency, in comparison to other methods such as T‐Coffee, ClustalW, ProbCons, and Dialign (Chang, Di Tommaso, & Notredame, ; Durand, Hazelhurst, & Coetzer, ; Manzoor, Shahid, & Zafar, ; Nuin, Wang, & Tillier, ; Pais, Ruy, Oliveira, & Coimbra, ; Thompson, Linard, Lecompte, & Poch, ; Wang et al, ; J. Yang & Warnow, ). Coding sequence alignments were subsequently generated by converting amino acid alignments to coding sequence alignments using the PAL2NAL tool (Suyama, Torrents, & Bork, ; http://www.bork.embl.de/pal2nal/).…”
Section: Methodsmentioning
confidence: 98%
“…The motif, domain, and catalytic sites of proteins/DNA could be identified by specifying these retained regions. 50 Therefore, this study aimed to analyze the miRNA target's correlation analysis with the other N‐region of SARS‐CoV‐2 Malaysia's strains and other N‐region of coronavirus strains. For this analysis, four types of SARS‐CoV‐2 Malaysia's strains with accession numbers MT372483.1, MT 372480.1, MT372481.1, and MT372482.1 were considered.…”
Section: Results Dan Discussionmentioning
confidence: 99%
“…Throughout evolution, specific sequences stay conserved. The motif, domain, and catalytic sites of proteins/DNA could be identified by specifying these retained regions 50 . Therefore, this study aimed to analyze the miRNA target's correlation analysis with the other N‐region of SARS‐CoV‐2 Malaysia's strains and other N‐region of coronavirus strains.…”
Section: Results Dan Discussionmentioning
confidence: 99%