2018
DOI: 10.5815/ijitcs.2018.08.04
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Comparative Analysis of Multiple Sequence Alignment Tools

Abstract: The perfect alignment between three or more sequences of Protein, RNA or DNA is a very difficult task in bioinformatics. There are many techniques for alignment multiple sequences. Many techniques maximize speed and do not concern with the accuracy of the resulting alignment. Likewise, many techniques maximize accuracy and do not concern with the speed. Reducing memory and execution time requirements and increasing the accuracy of multiple sequence alignment on large-scale datasets are the vital goal of any te… Show more

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Cited by 5 publications
(4 citation statements)
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References 21 publications
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“…MSA algorithms have been extensively developed, with various examples such as MUSCLE, Fast Fourier Transform (MAFFT), T-Coffee, DIALIGN, KALIGN, Clustal Omega, and probabilistic consistency-based multiple alignments (PROBCONS) [ 16 ]. Among these, MUSCLE developed by Edgar [ 17 ] reportedly has higher accuracy and lower analysis time according to Mohamed et al [ 16 ]. The quality of this algorithm is also not affected by the base length and the number of test sequences entered.…”
Section: Discussionmentioning
confidence: 99%
“…MSA algorithms have been extensively developed, with various examples such as MUSCLE, Fast Fourier Transform (MAFFT), T-Coffee, DIALIGN, KALIGN, Clustal Omega, and probabilistic consistency-based multiple alignments (PROBCONS) [ 16 ]. Among these, MUSCLE developed by Edgar [ 17 ] reportedly has higher accuracy and lower analysis time according to Mohamed et al [ 16 ]. The quality of this algorithm is also not affected by the base length and the number of test sequences entered.…”
Section: Discussionmentioning
confidence: 99%
“…Their use should be restricted to small and intermediate datasets. CLUSTAL Omega [40] and Kalign [44] are particularly fast, but less accurate [57]. They can be used to analyse datasets of up to 4,000 and 2,000 sequences, respectively [56,57].…”
Section: Plos Onementioning
confidence: 99%
“…CLUSTAL Omega [40] and Kalign [44] are particularly fast, but less accurate [57]. They can be used to analyse datasets of up to 4,000 and 2,000 sequences, respectively [56,57]. The performances of MUSCLE are intermediate [57].…”
Section: Plos Onementioning
confidence: 99%
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