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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2016
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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. |
format | Online Article Text |
id | pubmed-4909661 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
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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