Comparison and evaluation of multiple sequence alignment tools in bininformatics

Comparison and alignment of a series of protein and DNA sequences were among the first and are now established as the most powerful and frequently used bioinformatics methods. A variety of computational algorithms and programs have been created for this purpose. Decision about which tools to use is...

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Main Authors: Sedaghatinia, Asieh, Atan, Rodziah, Tajul Arifin, Khairina, Azmi Murad, Masrah Azrifah
Format: Article
Language:English
Published: International Journal of Computer Science and Network Security 2009
Subjects:
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author Sedaghatinia, Asieh
Atan, Rodziah
Tajul Arifin, Khairina
Azmi Murad, Masrah Azrifah
author_facet Sedaghatinia, Asieh
Atan, Rodziah
Tajul Arifin, Khairina
Azmi Murad, Masrah Azrifah
author_sort Sedaghatinia, Asieh
collection UPM
description Comparison and alignment of a series of protein and DNA sequences were among the first and are now established as the most powerful and frequently used bioinformatics methods. A variety of computational algorithms and programs have been created for this purpose. Decision about which tools to use is one of the important problems for bioinformaticians, especially for the majority of biologists who are non-specialist users. Therefore, a comparisons study for the different multiple sequence alignment tools (MSA) is necessary for the biologists and bioinformaticians to use the proper software that interprets correctly their biological data. This study addresses this critical issue in relation to MSA algorithms by systematically comparing and evaluating the functionality, usability and the algorithms of three famous multiple sequence alignment tools. A novel method was proposed for qualifying the MSA tools result by using Scorecons server to compute the conservation scores which was named SCS method (ScoreCons Server method). Furthermore, to assert the accuracy of this method for evaluating the quality of MSA tools, the results were compared with the results of SPS and CS. Finally, based on the achievement some considerations in choosing the proper MSA tools were proposed.
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spelling upm.eprints-136802012-10-31T02:04:12Z http://psasir.upm.edu.my/id/eprint/13680/ Comparison and evaluation of multiple sequence alignment tools in bininformatics Sedaghatinia, Asieh Atan, Rodziah Tajul Arifin, Khairina Azmi Murad, Masrah Azrifah Comparison and alignment of a series of protein and DNA sequences were among the first and are now established as the most powerful and frequently used bioinformatics methods. A variety of computational algorithms and programs have been created for this purpose. Decision about which tools to use is one of the important problems for bioinformaticians, especially for the majority of biologists who are non-specialist users. Therefore, a comparisons study for the different multiple sequence alignment tools (MSA) is necessary for the biologists and bioinformaticians to use the proper software that interprets correctly their biological data. This study addresses this critical issue in relation to MSA algorithms by systematically comparing and evaluating the functionality, usability and the algorithms of three famous multiple sequence alignment tools. A novel method was proposed for qualifying the MSA tools result by using Scorecons server to compute the conservation scores which was named SCS method (ScoreCons Server method). Furthermore, to assert the accuracy of this method for evaluating the quality of MSA tools, the results were compared with the results of SPS and CS. Finally, based on the achievement some considerations in choosing the proper MSA tools were proposed. International Journal of Computer Science and Network Security 2009-07 Article PeerReviewed Sedaghatinia, Asieh and Atan, Rodziah and Tajul Arifin, Khairina and Azmi Murad, Masrah Azrifah (2009) Comparison and evaluation of multiple sequence alignment tools in bininformatics. International Journal of Computer Science and Network Security, 9 (7). pp. 51-56. ISSN 1738-7906 Sequence alignment (Bioinformatics) Bioinformatics English
spellingShingle Sequence alignment (Bioinformatics)
Bioinformatics
Sedaghatinia, Asieh
Atan, Rodziah
Tajul Arifin, Khairina
Azmi Murad, Masrah Azrifah
Comparison and evaluation of multiple sequence alignment tools in bininformatics
title Comparison and evaluation of multiple sequence alignment tools in bininformatics
title_full Comparison and evaluation of multiple sequence alignment tools in bininformatics
title_fullStr Comparison and evaluation of multiple sequence alignment tools in bininformatics
title_full_unstemmed Comparison and evaluation of multiple sequence alignment tools in bininformatics
title_short Comparison and evaluation of multiple sequence alignment tools in bininformatics
title_sort comparison and evaluation of multiple sequence alignment tools in bininformatics
topic Sequence alignment (Bioinformatics)
Bioinformatics
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AT azmimuradmasrahazrifah comparisonandevaluationofmultiplesequencealignmenttoolsinbininformatics