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Determination of optimal parameters of MAFFT program based on BAliBASE3.0 database

BACKGROUND: Multiple sequence alignment (MSA) is one of the most important research contents in bioinformatics. A number of MSA programs have emerged. The accuracy of MSA programs highly depends on the parameters setting, mainly including gap open penalties (GOP), gap extension penalties (GEP) and s...

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Detalles Bibliográficos
Autores principales: Long, HaiXia, Li, ManZhi, Fu, HaiYan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4909661/
https://www.ncbi.nlm.nih.gov/pubmed/27376004
http://dx.doi.org/10.1186/s40064-016-2526-5
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author Long, HaiXia
Li, ManZhi
Fu, HaiYan
author_facet Long, HaiXia
Li, ManZhi
Fu, HaiYan
author_sort Long, HaiXia
collection PubMed
description BACKGROUND: Multiple sequence alignment (MSA) is one of the most important research contents in bioinformatics. A number of MSA programs have emerged. The accuracy of MSA programs highly depends on the parameters setting, mainly including gap open penalties (GOP), gap extension penalties (GEP) and substitution matrix (SM). This research tries to obtain the optimal GOP, GEP and SM rather than MAFFT default parameters. RESULTS: The paper discusses the MAFFT program benchmarked on BAliBASE3.0 database, and the optimal parameters of MAFFT program are obtained, which are better than the default parameters of CLUSTALW and MAFFT program. CONCLUSIONS: The optimal parameters can improve the results of multiple sequence alignment, which is feasible and efficient.
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spelling pubmed-49096612016-07-01 Determination of optimal parameters of MAFFT program based on BAliBASE3.0 database Long, HaiXia Li, ManZhi Fu, HaiYan Springerplus Research BACKGROUND: Multiple sequence alignment (MSA) is one of the most important research contents in bioinformatics. A number of MSA programs have emerged. The accuracy of MSA programs highly depends on the parameters setting, mainly including gap open penalties (GOP), gap extension penalties (GEP) and substitution matrix (SM). This research tries to obtain the optimal GOP, GEP and SM rather than MAFFT default parameters. RESULTS: The paper discusses the MAFFT program benchmarked on BAliBASE3.0 database, and the optimal parameters of MAFFT program are obtained, which are better than the default parameters of CLUSTALW and MAFFT program. CONCLUSIONS: The optimal parameters can improve the results of multiple sequence alignment, which is feasible and efficient. Springer International Publishing 2016-06-16 /pmc/articles/PMC4909661/ /pubmed/27376004 http://dx.doi.org/10.1186/s40064-016-2526-5 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research
Long, HaiXia
Li, ManZhi
Fu, HaiYan
Determination of optimal parameters of MAFFT program based on BAliBASE3.0 database
title Determination of optimal parameters of MAFFT program based on BAliBASE3.0 database
title_full Determination of optimal parameters of MAFFT program based on BAliBASE3.0 database
title_fullStr Determination of optimal parameters of MAFFT program based on BAliBASE3.0 database
title_full_unstemmed Determination of optimal parameters of MAFFT program based on BAliBASE3.0 database
title_short Determination of optimal parameters of MAFFT program based on BAliBASE3.0 database
title_sort determination of optimal parameters of mafft program based on balibase3.0 database
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4909661/
https://www.ncbi.nlm.nih.gov/pubmed/27376004
http://dx.doi.org/10.1186/s40064-016-2526-5
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